Method for operating a power system and operating device

Abstract

The application provides a power system operation method and operation device. The method comprises: solving a second objective function under the constraints of an intra-day scheduling constraint condition and a day-ahead scheduling strategy to obtain an intra-day scheduling strategy, wherein the intra-day scheduling constraint condition is used to at least constrain the electrical power output by a thermal power unit, the thermal power output by the thermal power unit, the electrical power output by a photovoltaic power generation device, and the current input to an electrolytic cell in each sub-period of a scheduling period in the intra-day; solving a first objective function under the constraints of a day-ahead scheduling constraint condition to obtain a day-ahead scheduling strategy, wherein the day-ahead scheduling constraint condition is used to constrain the start-stop state of the thermal power unit, the electrical power output by the thermal power unit, the thermal power output by the thermal power unit, the electrical power output by the photovoltaic power generation device, and the current input to the electrolytic cell in each period in the intra-day. The method solves the problem that the prior art lacks a multi-time scale rolling scheduling strategy considering the participation of electrolytic aluminum in the response demand of the power system.

Description

Technical Field

[0001] This application relates to the field of power system technology, and more specifically, to a power system operation method, a power system operation device, a computer-readable storage medium, and a processor. Background Technology

[0002] In power systems, multi-timescale rolling dispatch strategies are often adopted to address the uncertainty of photovoltaic (PV) forecasting errors. Multi-timescale dispatch includes day-ahead and intraday dispatch, which can effectively track load changes and improve the grid's adaptability to the uncertainty of PV output through rolling corrections and real-time adjustments. However, existing research on multi-timescale rolling dispatch focuses on proposing multi-timescale rolling coordination strategies for common flexible loads such as electric vehicles or user-side loads. Current technologies lack multi-timescale rolling dispatch strategies that consider the participation of electrolytic aluminum in the power system response requirements. Summary of the Invention

[0003] The main objective of this application is to provide a power system operation method, a power system operation device, a computer-readable storage medium, and a processor, so as to at least solve the problem that the prior art lacks a multi-timescale rolling scheduling strategy that takes into account the participation of electrolytic aluminum in the power system response requirements.

[0004] To achieve the above objectives, according to one aspect of this application, a method for operating a power system is provided. The power system includes a thermal power unit, a photovoltaic power generation device, and an electrolytic cell. The thermal power unit is electrically connected to the electrolytic cell, and the photovoltaic power generation device is electrically connected to the electrolytic cell. The electrolytic cell is used to produce electrolytic aluminum, and the electrolytic cell consumes electrical power during the production of electrolytic aluminum. The method includes: solving a first objective function under day-ahead scheduling constraints to obtain a day-ahead scheduling strategy. The day-ahead scheduling constraints are used to constrain the start-up and shutdown states of the thermal power unit, the electrical power output of the thermal power unit, and the output power of the thermal power unit during each time period of the day. The objectives of the first objective function are: thermal power, electrical power output by the photovoltaic power generation equipment, and current flowing into the electrolytic cell. The dependent variable of the first objective function is the minimum operating cost of the power system during the day. The independent variables of the first objective function are the start-stop status of the thermal power unit, the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell during each time period of the day. The known quantities of the day-ahead scheduling constraints are the maximum electrical power output of the photovoltaic power generation equipment during each time period of the day predicted by the day-ahead. The day-ahead scheduling strategy includes the thermal power unit's output power during each time period of the day. The start-up and shutdown status of the generating unit, the electrical power output of the thermal power unit, and the thermal power output of the thermal power unit are considered. The day-ahead dispatch strategy is the operating strategy with the lowest operating cost for the power system within the day. Under the constraints of the day-ahead dispatch strategy and the day-ahead dispatch constraints, a second objective function is solved to obtain the day-ahead dispatch strategy. The day-ahead dispatch constraints are used to constrain at least the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell in each sub-period of the dispatch period within the day. The dispatch period includes the current period and multiple periods after the current period. The dependent variable of the second objective function is the minimum operating cost of the power system during the scheduling period. The independent variables of the second objective function are the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell in each sub-period of the scheduling period. The known quantities of the intraday scheduling constraints include: the maximum output electrical power of the photovoltaic power generation equipment in each sub-period of the scheduling period predicted in the previous period of the current period, and the day-ahead scheduling strategy. The intraday scheduling strategy is the operating strategy that minimizes the operating cost of the power system during the scheduling period.

[0005] Optionally, before solving the first objective function under the constraints of day-ahead scheduling to obtain the day-ahead scheduling strategy, the method further includes: establishing the first objective function, wherein the first objective function is... Where F1 is the minimum operating cost of the power system during the day, T is the total number of time periods included in the day, N is the total number of thermal power units included in the power system, and C chp R is the sum of the coal consumption costs of all the aforementioned thermal power units during the day, and R is the sum of the operation and maintenance costs of all the aforementioned electrolyzers during the day. pw P represents the operation and maintenance cost of the thermal power unit when it outputs a unit power. i,t Let be the power output of the i-th thermal power unit during time period t. Let be the electrical power output of the i-th thermal power unit during time period t. Let c be the thermal power output of the i-th thermal power unit during time period t. i Let C be the electrothermal characteristic coefficient of the i-th thermal power unit. sw P represents the operation and maintenance cost of the photovoltaic power generation equipment per unit of electrical power output. t sv C represents the electrical power output of the photovoltaic power generation equipment during time period t. lcut To offset the load penalty price, P t load Let C be the load shedding amount during time period t. scut P is the price for the penalty of abandoning light. t svd C represents the amount of light discarded during time period t. corbon The carbon emission cost of the power system during the day.

[0006] Optionally, before solving the second objective function to obtain the intraday scheduling strategy under the constraints of intraday scheduling and the day-ahead scheduling strategy, the method further includes: establishing the second objective function, wherein the second objective function is... star = 24 × (num-1) - 1, where F2 is the minimum operating cost of the power system in the num-th scheduling period, N is the total number of thermal power units included in the power system, and C chp Let R be the sum of the coal consumption costs of all the aforementioned thermal power units in the num-th scheduling period, and let R be the sum of the operation and maintenance costs of all the aforementioned electrolyzers in the num-th scheduling period. pw P represents the operation and maintenance cost of the thermal power unit when it outputs a unit power. i,t Let be the power output of the i-th thermal power unit during sub-time period t. Let be the electrical power output of the i-th thermal power unit during sub-time period t. Let c be the thermal power output of the i-th thermal power unit during sub-time period t. iLet C be the electrothermal characteristic coefficient of the i-th thermal power unit. sw P represents the operation and maintenance cost of the photovoltaic power generation equipment per unit of electrical power output. t sv C represents the electrical power output of the photovoltaic power generation equipment during sub-time period t. lcut To offset the load penalty price, P t load C represents the load shedding amount for sub-period t. scut P is the price for the penalty of abandoning light. t svd C represents the amount of light discarded during sub-time period t. corbon Let be the carbon emission cost of the power system in the num-th scheduling period.

[0007] Optionally, in establishing the first objective function, the method further includes: establishing a first objective sub-function, wherein the dependent variable of the first objective sub-function is the sum of the coal consumption costs of all the thermal power units in the day, and the independent variables of the first objective sub-function are the electrical power output and thermal power output of the thermal power units in each time period of the day; establishing a second objective sub-function, wherein the dependent variable of the second objective sub-function is the carbon emission cost of the power system in the day, and the independent variables of the second objective sub-function are the electrical power output, thermal power output, and electrical power consumed by the electrolytic cell in each time period of the day; and establishing a third objective sub-function, wherein the dependent variable of the third objective sub-function is the sum of the operation and maintenance costs of all the electrolytic cells in the day, and the independent variable of the first objective sub-function is the electrical power consumed by the electrolytic cell in each time period of the day.

[0008] Optionally, in establishing the second objective function, the method further includes: establishing a fourth objective sub-function, the dependent variable of which is the sum of the coal consumption costs of all the thermal power units during the scheduling period, and the independent variables of which are the electrical power output and thermal power output of the thermal power units in each sub-period of the scheduling period; establishing a fifth objective sub-function, the dependent variable of which is the carbon emission cost of the power system during the scheduling period, and the independent variables of which are the electrical power output, thermal power output, and electrical power consumed by the electrolytic cell in each sub-period of the scheduling period; and establishing a sixth objective sub-function, the dependent variable of which is the sum of the operation and maintenance costs of all the electrolytic cells during the day, and the independent variable of which is the electrical power consumed by the electrolytic cell in each sub-period of the scheduling period.

[0009] Optionally, the day-ahead scheduling constraints include a first day-ahead constraint sub-condition, a second day-ahead constraint sub-condition, a third day-ahead constraint sub-condition, a fourth day-ahead constraint sub-condition, a fifth day-ahead constraint sub-condition, a sixth day-ahead constraint sub-condition, a seventh day-ahead constraint sub-condition, and an eighth day-ahead constraint sub-condition. Before solving the first objective function under the constraints of the day-ahead scheduling constraints to obtain the day-ahead scheduling strategy, the method further includes: establishing the day-ahead scheduling constraints; establishing the day-ahead scheduling constraints includes: establishing the first day-ahead constraint sub-condition, which is used to constrain the power balance of the thermal power units, the photovoltaic power generation equipment, each electrolytic cell, and various types of loads in each time period of the day; establishing the second day-ahead constraint sub-condition, which is used to constrain the start-stop state of the thermal power units, the power output of the thermal power units, and the thermal power output of the thermal power units in each time period of the day; and establishing the third day-ahead constraint sub-condition, which is used to constrain the power output of each thermal power unit in each time period of the day. The following conditions are established: the ramp rate of the photovoltaic power generation equipment, the ramp rate of the output power of each of the thermal power units, the ramp rate of the output power of each of the thermal power units, and the ramp rate of the output power of each of the thermal power units; the fourth-day-ahead constraint sub-condition is established to constrain the output power of the photovoltaic power generation equipment in each time period of the day; the fifth-day-ahead constraint sub-condition is established to constrain the power consumed by each of the electrolytic cells in each time period of the day; the sixth-day-ahead constraint sub-condition is established to constrain the ramp rate of the power consumed by each of the electrolytic cells in each time period of the day and the ramp rate of the output power of each of the electrolytic cells; the seventh-day-ahead constraint sub-condition is established to constrain the thermal balance of all the electrolytic cells in the power system in each time period; and the eighth-day-ahead constraint sub-condition is established to constrain the total electrical energy consumed by the electrolytic aluminum of all the electrolytic cells in each time period of the day.

[0010] Optionally, the intraday scheduling constraints include first intraday constraint sub-conditions, second intraday constraint sub-conditions, third intraday constraint sub-conditions, fourth intraday constraint sub-conditions, fifth intraday constraint sub-conditions, sixth intraday constraint sub-conditions, seventh intraday constraint sub-conditions, eighth intraday constraint sub-conditions, and ninth intraday constraint sub-conditions. Before solving the second objective function under the constraints of the intraday scheduling constraints and the pre-day scheduling strategy to obtain the intraday scheduling strategy, the method further includes: establishing the intraday scheduling constraints; establishing the intraday scheduling constraints includes: establishing the first intraday constraint sub-conditions, which are used to constrain the scheduling strategy in each sub-period of the scheduling period. The power balance of the thermal power unit, the photovoltaic power generation equipment, each of the electrolytic cells, and various types of loads is established; a second intraday constraint sub-condition is established to constrain the start-stop status of the thermal power unit, the electrical power output of the thermal power unit, and the thermal power output of the thermal power unit in each sub-period of the scheduling period; a third intraday constraint sub-condition is established to constrain the ramp-up rate of the electrical power output of each thermal power unit, the ramp-down rate of the electrical power output of each thermal power unit, the ramp-up rate of the thermal power output of each thermal power unit, and the thermal power output of each thermal power unit in each sub-period of the scheduling period. The following constraints are established: the slope rate of the power output of the photovoltaic power generation equipment in each sub-period of the scheduling period; the fifth constraint is established, which constrains the power consumed by each electrolytic cell in each sub-period of the scheduling period; the sixth constraint is established, which constrains the ramp rate of the power consumed by each electrolytic cell and the slope rate of the power consumed by each electrolytic cell in each sub-period of the scheduling period; and the seventh constraint is established, which constrains the power output of the photovoltaic power generation equipment in each sub-period of the scheduling period. The thermal balance of all electrolytic cells in the power system during each sub-period of the time period; establishing the eighth-day constraint sub-condition, which constrains the total electrical energy consumed by the electrolytic aluminum of all electrolytic cells during each sub-period of the scheduling period; establishing the ninth-day constraint sub-condition, which constrains the difference between the electrical power output of the thermal power unit during the sub-period of the intraday scheduling process and the electrical power output of the thermal power unit during the sub-period of the daytime scheduling process, and also constrains the difference between the thermal power output of the thermal power unit during the sub-period of the intraday scheduling process and the thermal power output of the thermal power unit during the sub-period of the daytime scheduling process.

[0011] According to another aspect of this application, an operating apparatus for a power system is provided. The power system includes a thermal power unit, a photovoltaic power generation device, and an electrolytic cell. The thermal power unit is electrically connected to the electrolytic cell, and the photovoltaic power generation device is electrically connected to the electrolytic cell. The electrolytic cell is used to produce electrolytic aluminum, and the electrolytic cell consumes electrical power during the production of electrolytic aluminum. The apparatus includes: a first solving unit, used to solve a first objective function under day-ahead scheduling constraints to obtain a day-ahead scheduling strategy. The day-ahead scheduling constraints are used to constrain the start-stop state of the thermal power unit, the electrical power output of the thermal power unit, and the thermal power output of the thermal power unit during each time period of the day. The objective function takes the following variables as its components: power output of the photovoltaic power generation equipment, current flowing through the electrolytic cell, power output of the photovoltaic power generation equipment, and power output of the photovoltaic power generation equipment. The dependent variable of the first objective function is the minimum operating cost of the power system within the day. The independent variables of the first objective function are the start-up and shutdown status of the thermal power unit, the output power of the thermal power unit, the output thermal power of the thermal power unit, the output power of the photovoltaic power generation equipment, and the current flowing through the electrolytic cell during each time period of the day. The known quantity of the day-ahead scheduling constraint is the maximum output power of the photovoltaic power generation equipment during each time period of the day as predicted by the day-ahead schedule. The day-ahead scheduling strategy includes the start-up and shutdown status of the thermal power unit during each time period of the day. The system is defined as follows: a shutdown state, the electrical power output of the thermal power unit, and the thermal power output of the thermal power unit. The day-ahead scheduling strategy is the operating strategy with the lowest operating cost for the power system within the day. A second solution unit is used to solve a second objective function under the constraints of the day-ahead scheduling strategy to obtain the day-ahead scheduling strategy. The day-ahead scheduling constraints at least constrain the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell in each sub-period of the day-ahead scheduling period. The scheduling period includes the current period and multiple periods after the current period. The dependent variable of the second objective function is the minimum operating cost of the power system during the scheduling period. The independent variables of the second objective function are the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell in each sub-period of the scheduling period. The known quantities of the intraday scheduling constraints include: the maximum output electrical power of the photovoltaic power generation equipment in each sub-period of the scheduling period predicted in the previous period of the current period, and the day-ahead scheduling strategy. The intraday scheduling strategy is the operating strategy that minimizes the operating cost of the power system during the scheduling period.

[0012] According to another aspect of this application, a computer-readable storage medium is provided, the computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device where the computer-readable storage medium is located to perform any of the described power system operation methods.

[0013] According to another aspect of this application, a processor is provided for running a program, wherein the program, when running, executes any of the described power system operation methods.

[0014] Applying the technical solution of this application, under the constraints of day-ahead scheduling, the first objective function is solved to obtain the day-ahead scheduling strategy. The independent variables of both the day-ahead scheduling constraints and the first objective function are the start-up and shutdown status of thermal power units, the electrical power output of thermal power units, the thermal power output of thermal power units, the electrical power output of photovoltaic power generation equipment, and the current flowing into the electrolytic cell during each time period within the day. This means that the participation of electrolytic aluminum in the power system demand response is considered when performing day-ahead scheduling of the power system. Then, under the constraints of intraday scheduling constraints and the day-ahead scheduling strategy, the second objective function is solved to obtain the intraday scheduling strategy. Furthermore, the independent variables of the intraday scheduling constraints and the second objective function are the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell in each sub-period of the intraday scheduling period. That is, the participation of electrolytic aluminum in the power system demand response is considered when performing intraday scheduling of the power system. Based on the consideration of the participation of electrolytic aluminum in the power system demand response, this application performs day-ahead to intraday multi-timescale rolling scheduling of the power system, thereby solving the problem that the existing technology lacks a multi-timescale rolling scheduling strategy that considers the participation of electrolytic aluminum in the power system response demand. Attached Figure Description

[0015] The accompanying drawings, which form part of this application, are used to provide a further understanding of this application. The illustrative embodiments and descriptions of this application are used to explain this application and do not constitute an undue limitation of this application. In the drawings:

[0016] Figure 1 A hardware structure block diagram of a mobile terminal for performing a power system operation method is shown in an embodiment of this application;

[0017] Figure 2 A schematic flowchart of an operation method for a power system according to an embodiment of this application is shown;

[0018] Figure 3 A structural block diagram of a power system provided according to an embodiment of this application is shown;

[0019] Figure 4A schematic diagram of a day-ahead scheduling strategy provided according to an embodiment of this application is shown;

[0020] Figure 5 A schematic diagram of a day-ahead scheduling strategy provided according to an embodiment of this application is shown;

[0021] Figure 6 A schematic diagram of an intraday scheduling strategy provided according to an embodiment of this application is shown;

[0022] Figure 7 A schematic diagram of an intraday scheduling strategy provided according to an embodiment of this application is shown;

[0023] Figure 8 A structural block diagram of an operating device for a power system according to an embodiment of this application is shown. Detailed Implementation

[0024] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0025] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0026] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this application described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0027] As described in the background section, the prior art lacks a multi-timescale rolling scheduling strategy that considers the participation of electrolytic aluminum in the power system response requirements. To address the problem of the lack of a multi-timescale rolling scheduling strategy that considers the participation of electrolytic aluminum in the power system response requirements in the prior art, embodiments of this application provide a power system operation method, a power system operation device, a computer-readable storage medium, and a processor.

[0028] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0029] The methods and embodiments provided in this application can be executed on a mobile terminal, computer terminal, or similar computing device. Taking running on a mobile terminal as an example, Figure 1 This is a hardware structure block diagram of a mobile terminal for a power system operation method according to an embodiment of the present invention. Figure 1 As shown, a mobile terminal may include one or more ( Figure 1 Only one is shown in the diagram. A processor 102 (which may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 104 for storing data are also shown. The mobile terminal may further include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the mobile terminal described above. For example, the mobile terminal may also include components that are more... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0030] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the device information display method in this embodiment of the invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, thereby implementing the above-described method. The memory 104 may include high-speed random access memory and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of the aforementioned networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof. The transmission device 106 is used to receive or send data via a network. Specific examples of the aforementioned networks may include wireless networks provided by the mobile terminal's communication provider. In one example, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0031] This embodiment provides a method for operating a power system that runs on a mobile terminal, computer terminal, or similar computing device. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Also, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0032] The power system includes a thermal power unit, a photovoltaic power generation device, and an electrolytic cell. The thermal power unit is electrically connected to the electrolytic cell, and the photovoltaic power generation device is electrically connected to the electrolytic cell. The electrolytic cell is used to produce electrolytic aluminum, and the electrolytic cell consumes electrical power during the production of electrolytic aluminum.

[0033] Figure 2 This is a flowchart of a power system operation method according to an embodiment of this application. For example... Figure 2 As shown, the method includes the following steps:

[0034] Step S201: Under the constraints of the day-ahead scheduling constraints, solve the first objective function to obtain the day-ahead scheduling strategy. The day-ahead scheduling constraints are used to constrain the start-up and shutdown status of the above-mentioned thermal power units, the electrical power output of the above-mentioned thermal power units, the thermal power output of the above-mentioned thermal power units, the electrical power output of the above-mentioned photovoltaic power generation equipment, and the current flowing into the above-mentioned electrolytic cell in each time period of the day.

[0035] Wherein, the dependent variable of the first objective function is the minimum operating cost of the power system within the day, the independent variables of the first objective function are the start-up and shutdown status of the thermal power unit, the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell in each time period of the day, the known quantity of the day-ahead scheduling constraint is the maximum output electrical power of the photovoltaic power generation equipment in each time period of the day-ahead prediction, the day-ahead scheduling strategy includes the start-up and shutdown status of the thermal power unit, the electrical power output of the thermal power unit, and the thermal power output of the thermal power unit in each time period of the day, and the day-ahead scheduling strategy is the operating strategy with the lowest operating cost of the power system within the day;

[0036] Step S202: Under the constraints of the intraday scheduling constraints and the above-mentioned daytime scheduling strategy, solve the second objective function to obtain the intraday scheduling strategy. The above-mentioned intraday scheduling constraints are used to constrain at least the electrical power output of the above-mentioned thermal power unit, the thermal power output of the above-mentioned thermal power unit, the electrical power output of the above-mentioned photovoltaic power generation equipment, and the current flowing into the above-mentioned electrolytic cell in each sub-period of the above-mentioned intraday scheduling period.

[0037] The aforementioned scheduling period includes the current period and multiple periods following the current period. The dependent variable of the second objective function is the minimum operating cost of the power system during the aforementioned scheduling period. The independent variables of the second objective function are the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell in each sub-period of the aforementioned scheduling period. The known quantities of the intraday scheduling constraints include: the maximum output electrical power of the photovoltaic power generation equipment in each sub-period of the aforementioned scheduling period predicted in the previous period of the aforementioned current period, and the aforementioned day-ahead scheduling strategy. The intraday scheduling strategy is the operating strategy that minimizes the operating cost of the power system during the aforementioned scheduling period.

[0038] Through the above embodiments, under the constraints of day-ahead scheduling, the first objective function is solved to obtain the day-ahead scheduling strategy. The independent variables of both the day-ahead scheduling constraints and the first objective function are the start-up and shutdown status of thermal power units, the electrical power output of thermal power units, the thermal power output of thermal power units, the electrical power output of photovoltaic power generation equipment, and the current flowing into the electrolytic cell during each time period within the day. That is, the participation of electrolytic aluminum in the power system demand response is considered when performing day-ahead scheduling of the power system. Then, under the constraints of intraday scheduling constraints and the day-ahead scheduling strategy, the second objective function is solved to obtain the intraday scheduling strategy. Furthermore, the independent variables of the intraday scheduling constraints and the second objective function are the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell in each sub-period of the intraday scheduling period. That is, the participation of electrolytic aluminum in the power system demand response is considered when performing intraday scheduling of the power system. Based on the consideration of the participation of electrolytic aluminum in the power system demand response, this application performs day-ahead to intraday multi-timescale rolling scheduling of the power system, thereby solving the problem that the existing technology lacks a multi-timescale rolling scheduling strategy that considers the participation of electrolytic aluminum in the power system response demand.

[0039] In an optional implementation, prior to step S201, the method further includes:

[0040] Establish the first objective function described above, which is: Where F1 is the minimum operating cost of the power system during the day, T is the total number of time periods included in the day, N is the total number of the thermal power units included in the power system, and C chp R is the sum of the coal consumption costs of all the aforementioned thermal power units during the aforementioned day, and R is the sum of the operation and maintenance costs of all the aforementioned electrolytic cells during the aforementioned day. pw P represents the operation and maintenance cost of the aforementioned thermal power unit when it generates a unit power output. i,t Let be the power output of the i-th of the aforementioned thermal power units during time period t. Let be the electrical power output of the i-th of the aforementioned thermal power units during time period t. Let c be the thermal power output of the i-th of the aforementioned thermal power units during time period t. i Let C be the electrothermal characteristic coefficient of the i-th of the aforementioned thermal power units. sw P represents the operation and maintenance cost of the photovoltaic power generation equipment per unit of electrical power output. t sv C represents the electrical power output of the photovoltaic power generation equipment during time period t. lcut To offset the load penalty price, P t load Let C be the load shedding amount during time period t. scutP is the price for the penalty of abandoning light. t svd C represents the amount of light discarded during time period t. corbon This represents the carbon emission cost of the power system during the aforementioned days.

[0041] Specifically, C pw The unit is yuan / MW, C sw The unit is yuan / MW, C lcut The unit is yuan / MW, C scut The unit is yuan / MW, the time period is hours, and T is 24.

[0042] In an optional implementation, prior to step S202, the method further includes:

[0043] Establish the second objective function described above, which is: star = 24 × (num-1) - 1, where F2 is the minimum operating cost of the power system in the num-th scheduling period, N is the total number of the thermal power units included in the power system, and C chp Let C be the sum of the coal consumption costs of all the aforementioned thermal power units in the num-th scheduling period, R be the sum of the operation and maintenance costs of all the aforementioned electrolytic cells in the num-th scheduling period, and C be the sum of the coal consumption costs of all the aforementioned thermal power units in the num-th scheduling period. pw P represents the operation and maintenance cost of the aforementioned thermal power unit when it generates a unit power output. i,t Let be the power output of the i-th of the aforementioned thermal power units during sub-time period t. Let be the electrical power output of the i-th of the aforementioned thermal power units during sub-time period t. Let c be the thermal power output of the i-th of the aforementioned thermal power units during sub-time period t. i Let C be the electrothermal characteristic coefficient of the i-th of the aforementioned thermal power units. sw P represents the operation and maintenance cost of the photovoltaic power generation equipment per unit of electrical power output. t sv C represents the electrical power output of the photovoltaic power generation equipment during sub-time period t. lcut To offset the load penalty price, P t load C represents the load shedding amount for sub-period t. scut P is the price for the penalty of abandoning light. t svd C represents the amount of light discarded during sub-time period t. corbon Let be the carbon emission cost of the aforementioned power system during the numrd dispatch period.

[0044] Specifically, C pw The unit is yuan / MW, C sw The unit is yuan / MW, Clcut The unit is yuan / MW, C scut The unit is yuan / MW, the scheduling period is 6 hours, and the sub-period is 15 minutes.

[0045] In an optional implementation, the method further includes the following steps in establishing the first objective function:

[0046] A first objective function is established, wherein the dependent variable of the first objective function is the sum of the coal consumption costs of all the aforementioned thermal power units within the aforementioned day, and the independent variables of the first objective function are the electrical power output of the aforementioned thermal power units and the thermal power output of the aforementioned thermal power units in each time period within the aforementioned day.

[0047] Specifically, the first objective sub-function is:

[0048]

[0049] Among them, C chp The sum of the coal consumption costs of all the aforementioned thermal power units during the aforementioned day, where N is the total number of the aforementioned thermal power units included in the aforementioned power system, and P is the sum of the coal consumption costs of all the aforementioned thermal power units during the aforementioned day. i,t Let be the power output of the i-th of the aforementioned thermal power units during time period t. Let be the electrical power output of the i-th of the aforementioned thermal power units during time period t. Let C be the thermal power output of the i-th of the aforementioned thermal power units during time period t. fule The price of coal fuel per ton, c i Let A be the electrothermal characteristic coefficient of the i-th of the aforementioned thermal power units. i B i C i D i E i and F i All of these are the coal consumption coefficients of the i-th of the aforementioned thermal power units.

[0050] A second objective function is established, wherein the dependent variable of the second objective function is the carbon emission cost of the power system during the day, and the independent variables of the second objective function are the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, and the electrical power consumed by the electrolytic cell during each time period of the day.

[0051] Specifically, the second objective sub-function is:

[0052]

[0053] Among them, C corbon For the daily carbon emission cost of the power system, τ c This is the carbon emission price coefficient. This is the sum of the carbon emissions resulting from the raw material consumption of all the aforementioned electrolyzers. Carbon emissions resulting from the anode effect. This is the sum of the carbon emissions from all thermal power units in the power system;

[0054]

[0055] Where k is the electricity consumption coefficient for producing one ton of electrolytic aluminum, T is the total number of sub-periods included in the above-mentioned day, L is the number of electrolytic cells in the power system, and E l,t EF represents the carbon emissions from the raw material consumption of the l-th electrolyzer during sub-period t. c The carbon dioxide emission factor consumed by the carbon anode is expressed in tCO2 / tAl, NC c For the net consumption of carbon anodes per ton of aluminum, S c A represents the average sulfur content of the carbon anode. c NC represents the average ash content of the carbon anode, based on the recommended values ​​from the China Nonferrous Metals Industry Association. c It can be taken as 0.42tC / tAl, S c It can be taken as 2%, A c A value of 0.4% is acceptable.

[0056]

[0057] Where k is the electricity consumption coefficient for producing one ton of electrolytic aluminum, T is the total number of sub-periods within a day, L is the number of electrolytic cells in the power system, and P... l,t The electrical power consumed by the l-th electrolyzer in sub-period t, where 6500 and 9200 are the greenhouse effect exponents of CF4 and C2F6, respectively. For CF4 emission factors, The C2F6 emission factor is based on the recommended value from the China Nonferrous Metals Industry Association. The value can be taken as 0.034 kg CF4 / t Al. The value can be taken as 0.0034 kg C2F6 / t Al;

[0058]

[0059] Where T is the total number of sub-time periods included in the above-mentioned day, N is the total number of the above-mentioned thermal power units included in the above-mentioned power system, and P i,t Let be the power output of the i-th of the aforementioned thermal power units during sub-time period t. Let A′ be the electrical power output of the i-th of the aforementioned thermal power units during sub-time period t. i B′ i C′ i 、D′ i E′i and F′ i All of these are the carbon emission coefficients of the i-th of the aforementioned thermal power units.

[0060] A third objective function is established, wherein the dependent variable of the third objective function is the sum of the operation and maintenance costs of all the electrolytic cells during the day, and the independent variable of the first objective function is the electrical power consumed by the electrolytic cells in each time period during the day.

[0061] Specifically, the third objective function is:

[0062]

[0063] Where R is the sum of the operation and maintenance costs of all the aforementioned electrolytic cells during the aforementioned day, N is the quadratic coefficient of the sum of the operation and maintenance costs of all the aforementioned electrolytic cells during the aforementioned day, L is the number of electrolytic cells in the power system, and P lmax This represents the maximum electrical power consumed by the l-th electrolytic cell.

[0064] In an optional implementation, the method further includes the following steps in establishing the second objective function:

[0065] A fourth objective sub-function is established, wherein the dependent variable of the fourth objective sub-function is the sum of the coal consumption costs of all the aforementioned thermal power units during the aforementioned scheduling period, and the independent variables of the fourth objective sub-function are the electrical power output and thermal power output of the aforementioned thermal power units in each sub-period of the aforementioned scheduling period.

[0066] Specifically, the fourth objective sub-function is:

[0067]

[0068] Among them, C chp The sum of the coal consumption costs of all the aforementioned thermal power units during the aforementioned day, where N is the total number of the aforementioned thermal power units included in the aforementioned power system, and P is the sum of the coal consumption costs of all the aforementioned thermal power units during the aforementioned day. i,t Let be the power output of the i-th of the aforementioned thermal power units during sub-time period t. Let be the electrical power output of the i-th of the aforementioned thermal power units during sub-time period t. Let C be the thermal power output of the i-th of the aforementioned thermal power units during sub-time period t. fule The price of coal fuel per ton, c i Let A be the electrothermal characteristic coefficient of the i-th of the aforementioned thermal power units. i B i C i D i E i and F i All of these are the coal consumption coefficients of the i-th of the aforementioned thermal power units.

[0069] A fifth objective sub-function is established, wherein the dependent variable of the fifth objective sub-function is the carbon emission cost of the power system during the scheduling period, and the independent variables of the fifth objective sub-function are the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, and the electrical power consumed by the electrolytic cell in each sub-period of the scheduling period.

[0070] Specifically, the fifth objective sub-function is:

[0071]

[0072] Among them, C corbon For the daily carbon emission cost of the power system, τ c This is the carbon emission price coefficient. This is the sum of the carbon emissions resulting from the raw material consumption of all the aforementioned electrolyzers. Carbon emissions resulting from the anode effect. This is the sum of the carbon emissions from all thermal power units in the power system;

[0073]

[0074] Where k is the electricity consumption coefficient for producing one ton of electrolytic aluminum, L is the number of electrolytic cells in the power system, and E l,t EF represents the carbon emissions from the raw material consumption of the l-th electrolyzer during sub-period t. c The carbon dioxide emission factor consumed by the carbon anode is expressed in tCO2 / tAl, NC c For the net consumption of carbon anodes per ton of aluminum, S c A represents the average sulfur content of the carbon anode. c NC represents the average ash content of the carbon anode, based on the recommended values ​​from the China Nonferrous Metals Industry Association. c It can be taken as 0.42tC / tAl, S c It can be taken as 2%, A c A value of 0.4% is acceptable.

[0075]

[0076] Where, k is the electricity consumption coefficient for producing one ton of electrolytic aluminum, L is the number of electrolytic cells in the power system, and P l,t The electrical power consumed by the l-th electrolyzer in sub-period t, where 6500 and 9200 are the greenhouse effect exponents of CF4 and C2F6, respectively. For CF4 emission factors, The C2F6 emission factor is based on the recommended value from the China Nonferrous Metals Industry Association. The value can be taken as 0.034 kg CF4 / t Al. The value can be taken as 0.0034 kg C2F6 / t Al;

[0077]

[0078] Where N is the total number of the aforementioned thermal power units included in the aforementioned power system, and P i,t Let be the power output of the i-th of the aforementioned thermal power units during sub-time period t. Let A be the electrical power output of the i-th of the aforementioned thermal power units during sub-time period t. i ′、B i ′、C′ i 、D′ i E′ i and F′ i All of these are the carbon emission coefficients of the i-th of the aforementioned thermal power units.

[0079] A sixth objective sub-function is established, wherein the dependent variable of the sixth objective sub-function is the sum of the operation and maintenance costs of all the aforementioned electrolytic cells within the aforementioned day, and the independent variable of the sixth objective sub-function is the electrical power consumed by the aforementioned electrolytic cells in each sub-period of the aforementioned scheduling period.

[0080] Specifically, the sixth objective sub-function is:

[0081]

[0082] Where R is the sum of the operation and maintenance costs of all the aforementioned electrolytic cells during the aforementioned day, N is the quadratic coefficient of the sum of the operation and maintenance costs of all the aforementioned electrolytic cells during the aforementioned day, L is the number of electrolytic cells in the power system, and P lmax This represents the maximum electrical power consumed by the l-th electrolytic cell.

[0083] In an optional implementation, the aforementioned day-ahead scheduling constraints include a first day-ahead constraint sub-condition, a second day-ahead constraint sub-condition, a third day-ahead constraint sub-condition, a fourth day-ahead constraint sub-condition, a fifth day-ahead constraint sub-condition, a sixth day-ahead constraint sub-condition, a seventh day-ahead constraint sub-condition, and an eighth day-ahead constraint sub-condition. Before step S201, the method further includes:

[0084] Establish the above-mentioned day-ahead scheduling constraints;

[0085] Establish day-ahead scheduling constraints, including:

[0086] The aforementioned first-day-ahead constraint sub-conditions are established to constrain the power balance of the aforementioned thermal power units, photovoltaic power generation equipment, electrolytic cells, and various types of loads during each time period within the aforementioned day.

[0087] Specifically, the first-day constraint sub-condition mentioned above is: Where N represents the number of thermal power units in the power system, and L represents the number of electrolytic cells in the power system. Let P be the electrical power output of the i-th thermal power unit during time period t. t sv P is the electrical power output of the photovoltaic power generation equipment during time period t. l,t The electrical power consumed by the l-th electrolytic cell in time period t. Let be the power load in the power system during time period t. For the interruptible loads in the power system during time period t, Other loads in the power system during time period t.

[0088] Establish the above-mentioned second-day-ahead constraint sub-condition, which is used to constrain the start-up and shutdown status of the above-mentioned thermal power unit, the electrical power output of the above-mentioned thermal power unit, and the thermal power output of the above-mentioned thermal power unit in each time period of the above-mentioned day.

[0089] Specifically, the aforementioned second-day-ahead constraint sub-condition is as follows: Among them, U i,t U represents the start-up and shutdown status of the i-th thermal power unit during time period t. i,t A value of 1 indicates that the i-th thermal power unit is in the on-state during time period t. i,t A value of 0 indicates that the i-th thermal power unit is in a shutdown state during time period t. Let i be the minimum output power of the i-th thermal power unit. Let i be the maximum output power of the i-th thermal power unit. Let be the electrical power output of the i-th thermal power unit during time period t. Let be the maximum output thermal power of the i-th thermal power unit. Let be the thermal power output of the i-th thermal power unit during time period t.

[0090] The above-mentioned third-day-ahead constraint sub-condition is established to constrain the ramp-up rate of the electrical power output of each of the above-mentioned thermal power units, the ramp-down rate of the electrical power output of each of the above-mentioned thermal power units, the ramp-up rate of the thermal power output of each of the above-mentioned thermal power units, and the ramp-down rate of the thermal power output of each of the above-mentioned thermal power units in each time period of the above-mentioned day.

[0091] Specifically, to ensure the safe and stable operation of the thermal power unit, the ramp rate of the output electrical power, the ramp rate of the output electrical power, the ramp rate of the output thermal power, and the ramp rate of the output thermal power must not exceed certain values. The constraint sub-conditions for the third day are as follows: and in, Let be the electrical power output of the i-th thermal power unit during time period t. Let P be the electrical power output of the i-th thermal power unit in time period t+1. i eup P represents the maximum ramp rate at which the i-th thermal power unit outputs electrical power. i edw Let be the maximum slope rate of the electrical power output of the i-th thermal power unit. Let be the thermal power output of the i-th thermal power unit during time period t. Let P be the thermal power output of the i-th thermal power unit in time period t+1. i hup P represents the maximum ramp rate of the thermal power output of the i-th thermal power unit. i hdw The maximum slope rate of the thermal power output of the i-th thermal power unit.

[0092] Establish the above-mentioned fourth-day-ahead constraint sub-condition, which is used to constrain the electrical power output of the above-mentioned photovoltaic power generation equipment in each time period of the above-mentioned day;

[0093] Specifically, 0≤P t sv ≤P t psv P t sv P is the electrical power output of the photovoltaic power generation equipment during time period t. t psv This represents the maximum output power of the photovoltaic power generation equipment predicted in the previous period t.

[0094] Establish the above-mentioned fifth-day-ahead constraint sub-condition, which is used to constrain the electrical power consumed by each of the above-mentioned electrolytic cells in each time period of the above-mentioned day;

[0095] Specifically, the constraint sub-conditions for the fifth day prior are: Among them, P l,t Let P be the electrical power consumed by the l-th electrolytic cell during time period t. lmin P is the minimum electrical power consumed by the l-th electrolytic cell. lmax U is the maximum electrical power consumed by the l-th electrolytic cell. l U is the voltage of the l-th electrolytic cell. l I is a constant. l,t Let be the intensity of the current supplied to the l-th electrolytic cell during time period t.

[0096] Establish the above-mentioned sixth-day-ahead constraint sub-condition, which is used to constrain the upward ramp rate and the downward ramp rate of the electrical power consumed by each of the above-mentioned electrolytic cells in each time period of the above-mentioned day.

[0097] Specifically, the constraint sub-conditions before the sixth day are: Among them, P l,t Let P be the electrical power consumed by the l-th electrolytic cell during time period t. l,(t-1) Let P be the electrical power consumed by the l-th electrolytic cell in time period t-1. l up P is the maximum ramp rate at which the electrical power consumed by the l-th electrolytic cell is increased. l dw The maximum downslope rate of the electrical power consumed by the l-th electrolytic cell.

[0098] Establish the aforementioned seventh-day-ahead constraint sub-condition, which is used to constrain the thermal balance of all the aforementioned electrolytic cells in the aforementioned power system during each of the aforementioned time periods.

[0099] Specifically, the aforementioned pre-seventh day constraint sub-condition is as follows: Where L is the number of electrolytic cells in the power system, η eh The electrothermal conversion efficiency is given by τ, which represents the time it takes for the electrolytic cell to maintain thermal equilibrium, typically 4 hours. E τmin Let τ be the minimum energy required for all electrolytic cells to maintain thermal equilibrium within τ.

[0100] The aforementioned pre-eighth-day constraint sub-condition is established to constrain the total electrical energy consumed by the electrolytic aluminum in all the aforementioned electrolytic cells during each time period of the aforementioned day.

[0101] Specifically, T represents the total number of time periods included in a day, where... This represents the minimum total electrical energy consumed by all electrolytic cells during the day. U represents the maximum total electrical energy consumed by all electrolytic cells during the day. l Let I be the voltage of the l-th electrolytic cell, and let I be a constant. l,t Let t be the current supplied to the l-th electrolytic cell during time period t.

[0102] In an optional implementation, the intraday scheduling constraints include first intraday constraint sub-conditions, second intraday constraint sub-conditions, third intraday constraint sub-conditions, fourth intraday constraint sub-conditions, fifth intraday constraint sub-conditions, sixth intraday constraint sub-conditions, seventh intraday constraint sub-conditions, and eighth intraday constraint sub-conditions. Before step S202, the method further includes:

[0103] Establish the above intraday scheduling constraints;

[0104] Establish intraday scheduling constraints, including:

[0105] The aforementioned first-day constraint sub-conditions are established to constrain the power balance of the aforementioned thermal power units, photovoltaic power generation equipment, electrolytic cells, and various types of loads in each sub-period of the aforementioned scheduling period.

[0106] Specifically, the first-day constraint sub-condition mentioned above is: Where N represents the number of thermal power units in the power system, and L represents the number of electrolytic cells in the power system. Let P be the electrical power output of the i-th thermal power unit during sub-time period t. t sv P is the electrical power output of the photovoltaic power generation equipment in sub-time period t. l,t The electrical power consumed by the l-th electrolytic cell in sub-time period t. For the power load in the power system during sub-period t, For interruptible loads in the power system during sub-period t, For other loads in the power system during sub-period t.

[0107] Establish the above-mentioned second-day constraint sub-conditions, which are used to constrain the start-up and shutdown status of the above-mentioned thermal power unit, the electrical power output of the above-mentioned thermal power unit, and the thermal power output of the above-mentioned thermal power unit in each sub-period of the above-mentioned scheduling period.

[0108] Specifically, the aforementioned second-day-ahead constraint sub-condition is as follows: Among them, U i,t For the start-up and shutdown status of the i-th thermal power unit during sub-time period t, U i,t A value of 1 indicates that the i-th thermal power unit is in the on-state during sub-time period t. i,t A value of 0 indicates that the i-th thermal power unit is in a shutdown state during sub-time period t. Let i be the minimum output power of the i-th thermal power unit. Let i be the maximum output power of the i-th thermal power unit. Let be the electrical power output of the i-th thermal power unit during sub-time period t. Let be the maximum output thermal power of the i-th thermal power unit. Let be the thermal power output of the i-th thermal power unit during sub-time period t.

[0109] The above-mentioned third-day constraint sub-conditions are established to constrain the ramp rate of the electrical power output of each of the above-mentioned thermal power units, the ramp rate of the electrical power output of each of the above-mentioned thermal power units, the ramp rate of the thermal power output of each of the above-mentioned thermal power units, and the ramp rate of the thermal power output of each of the above-mentioned thermal power units in each sub-period of the above-mentioned scheduling period.

[0110] Specifically, to ensure the safe and stable operation of the thermal power unit, the ramp rate of the output electrical power, the ramp rate of the output electrical power, the ramp rate of the output thermal power, and the ramp rate of the output thermal power must not exceed certain values. The constraint sub-conditions for the third day are as follows: and in, Let be the electrical power output of the i-th thermal power unit during sub-time period t. Let P be the electrical power output of the i-th thermal power unit in sub-time period t+1. i eup P represents the maximum ramp rate at which the i-th thermal power unit outputs electrical power. i edw Let be the maximum slope rate of the electrical power output of the i-th thermal power unit. Let be the thermal power output of the i-th thermal power unit in sub-time period t. Let P be the thermal power output of the i-th thermal power unit in sub-time period t+1. i hup P represents the maximum ramp rate of the thermal power output of the i-th thermal power unit. i hdw The maximum slope rate of the thermal power output of the i-th thermal power unit.

[0111] Establish the above-mentioned fourth-day constraint sub-conditions, which are used to constrain the output power of the above-mentioned photovoltaic power generation equipment in each sub-period of the above-mentioned scheduling period;

[0112] Specifically, 0≤P t sv ≤P t psv P t sv P is the electrical power output of the photovoltaic power generation equipment during time period t. t psv This represents the maximum output power of the photovoltaic power generation equipment predicted in the previous time period of the current time period within the day during sub-time period t.

[0113] Establish the above-mentioned fifth-day constraint sub-conditions, which are used to constrain the electrical power consumed by each of the above-mentioned electrolytic cells in each sub-period of the above-mentioned scheduling period.

[0114] Specifically, the constraint sub-conditions for the fifth day prior are: Among them, P l,t Let P be the electrical power consumed by the l-th electrolytic cell in sub-time period t. lmin P is the minimum electrical power consumed by the l-th electrolytic cell. lmax U is the maximum electrical power consumed by the l-th electrolytic cell. lU is the voltage of the l-th electrolytic cell. l I is a constant. l,t Let be the intensity of the current supplied to the l-th electrolytic cell during sub-time period t.

[0115] Establish the above-mentioned sixth-day constraint sub-conditions, which are used to constrain the ramp rate of the electrical power consumed by each of the above-mentioned electrolytic cells and the ramp rate of the electrical power consumed by each of the above-mentioned electrolytic cells in each sub-period of the above-mentioned scheduling period.

[0116] Specifically, the constraint sub-conditions before the sixth day are: Among them, P l,t Let P be the electrical power consumed by the l-th electrolytic cell in sub-time period t. l,(t-1) Let P be the electrical power consumed by the l-th electrolytic cell in sub-period t-1. l up P is the maximum ramp rate at which the electrical power consumed by the l-th electrolytic cell is increased. l dw The maximum downslope rate of the electrical power consumed by the l-th electrolytic cell.

[0117] The aforementioned constraint sub-conditions within the seventh day are established, and these constraint sub-conditions within the seventh day are used to constrain the thermal balance of all the aforementioned electrolyzers in the aforementioned power system during each sub-period of the aforementioned scheduling period.

[0118] Specifically, the aforementioned pre-seventh day constraint sub-condition is as follows: Where L is the number of electrolytic cells in the power system, η eh The electrothermal conversion efficiency is given by τ, which represents the time it takes for the electrolytic cell to maintain thermal equilibrium, typically 4 hours. E τmin Let τ be the minimum energy required for all electrolytic cells to maintain thermal equilibrium within τ.

[0119] The aforementioned constraint sub-conditions within the eighth day are established, which are used to constrain the total electrical energy consumed by the electrolytic aluminum in all the aforementioned electrolytic cells during each sub-period of the aforementioned scheduling period.

[0120] Specifically, T represents the total number of sub-time periods contained within a day, where... This represents the minimum total electrical energy consumed by all electrolytic cells during the day. U represents the maximum total electrical energy consumed by all electrolytic cells during the day. l Let I be the voltage of the l-th electrolytic cell, and let I be a constant. l,t Let t be the current supplied to the l-th electrolytic cell during sub-period t.

[0121] The aforementioned ninth-day constraint sub-condition is established to constrain the difference between the electrical power output of the aforementioned thermal power unit in the sub-period of the intraday scheduling process and the electrical power output of the aforementioned thermal power unit in the sub-period of the daytime scheduling process, and to constrain the difference between the thermal power output of the aforementioned thermal power unit in the sub-period of the intraday scheduling process and the thermal power output of the aforementioned thermal power unit in the sub-period of the daytime scheduling process.

[0122] Specifically, the aforementioned constraint sub-condition within the ninth day is: Let i be the maximum output power of the i-th thermal power unit. Let be the electrical power output of the i-th thermal power unit during sub-time period t. Let be the maximum output thermal power of the i-th thermal power unit. Let be the thermal power output of the i-th thermal power unit during sub-time period t.

[0123] Example

[0124] like Figure 3 As shown, the power system includes 100MW thermal power unit 1 and 100MW thermal power unit 2, a 100MW photovoltaic power generation unit and total load, which includes 100MW electrolytic aluminum load (electrolytic cell), power load, interruptible load and other loads.

[0125] like Figure 4 As shown, the amount of abandoned solar power, photovoltaic power generation equipment, thermal power unit 1, and thermal power unit 2 each correspond to a grayscale value, such as... Figure 5 As shown, the electrolytic aluminum load, other loads, and power load each correspond to a grayscale level.

[0126] like Figure 4 and Figure 5 As shown, in the day-ahead dispatch strategy, when the power output of the photovoltaic power generation equipment increases, the power output of the two thermal power units will decrease accordingly, so that the total load can fully absorb the power output of the photovoltaic power generation equipment. The power consumption of the electrolytic aluminum load is adjusted within a range of ±20%. When the electrolytic aluminum load participates in the power system demand response, when the power output of the photovoltaic power generation equipment is at its maximum, the power consumption of the electrolytic aluminum load will also gradually rise to its maximum value. At this time, the power output of the two thermal power units is at its minimum.

[0127] Case 1: The electrolytic aluminum load does not participate in the demand response of the power system, and the power consumed by the electrolytic aluminum load is always maintained at the rated power value.

[0128] Case 2: Electrolytic aluminum load participates in the demand response of the power system.

[0129] As shown in Table 1, the daily net revenue of the power system is approximately 2 million. The coal consumption cost, curtailment cost, and carbon emission cost of Case 1 are all higher than those of Case 2, especially the curtailment cost, which is much higher in Case 1 than in Case 2. This is because when the power consumed by the electrolytic aluminum load remains constant at its rated power, the power demand of the power system is relatively stable. When there is sufficient sunlight and the power output of the photovoltaic power generation equipment is relatively large, the power system cannot fully absorb it, which will eventually lead to a large amount of curtailment. After the electrolytic aluminum load participates in demand response, the power consumed by the electrolytic aluminum load can be adjusted according to the power output of the photovoltaic power generation equipment. This can maximize the absorption of the power output of the photovoltaic power generation equipment, reduce the coal consumption cost of the thermal power unit, reduce the total operating cost of the power system, increase the net revenue of the power system, and improve the operational flexibility of the power system. In addition, Case 2 also has the benefit of the electrolytic aluminum load participating in demand response.

[0130]

[0131] As shown in Table 2, the carbon emissions of thermal power units, electrolytic aluminum load, and total carbon emissions in Case 1 are all higher than those in Case 2. After considering the participation of electrolytic aluminum load in demand response, the carbon emissions in Case 2 decreased by 23.42%. This is because the electrolytic aluminum load fully absorbs the electrical power output of photovoltaic power generation equipment and reduces the electrical power output of thermal power units. Therefore, the participation of electrolytic aluminum load in demand response is conducive to the carbon reduction of the power system.

[0132] Carbon emissions from thermal power units (tons) 5597.71 4245.10 Carbon emissions from electrolytic aluminum (tons) 300.91 272.07 Total carbon emissions (tons) 5898.62 4517.16 Emission reduction (tons) — 23.42％

[0133] like Figure 6 As shown, the amount of abandoned solar power, photovoltaic power generation equipment, thermal power unit 1, and thermal power unit 2 each correspond to a grayscale value, such as... Figure 7 As shown, the electrolytic aluminum load, other loads, and power load each correspond to a grayscale level.

[0134] like Figure 4 , Figure 5 , Figure 6 and Figure 7As shown, the output power curves of thermal power units in the day-ahead dispatch strategy are similar to those obtained from intraday dispatch. Similarly, the electrolytic aluminum load power curves in the day-ahead dispatch strategy are similar to those obtained from intraday dispatch. However, the maximum output power of photovoltaic (PV) power generation equipment in each intraday time period predicted by the day-ahead forecast has a large error. If the power system operates according to the day-ahead dispatch strategy, it will easily lead to an increase in the amount of curtailed solar power, resulting in increased curtailment costs. In contrast, the maximum output power of PV power generation equipment in each sub-time period of the intraday dispatch period predicted by the intraday forecast is more consistent with reality. Therefore, the power system operates according to the intraday dispatch strategy, and through adjustments to the power... The system performs day-ahead and intraday multi-timescale rolling scheduling to reduce the impact of photovoltaic output prediction errors and lower the total operating cost of the power system. Specifically, during day-ahead scheduling, the system predicts the output power curves of thermal power units, photovoltaic power generation equipment, and aluminum decommissioning load every 15 minutes from hour 1 to hour 6 in the first hour. In the second hour, it predicts the output power curves of thermal power units, photovoltaic power generation equipment, and aluminum decommissioning load every 15 minutes from hour 2 to hour 7, and so on. In the second hour, the system uses the maximum output power of photovoltaic power generation equipment predicted in the first hour every 15 minutes from hour 2 to hour 7.

[0135] The beneficial effects of this application are:

[0136] By adjusting the electrolytic aluminum load to participate in the power system's demand response, the power system's capacity to absorb photovoltaic power can be improved.

[0137] By adjusting the electrolytic aluminum load to participate in the power system demand response, the total operating cost of the power system can be reduced.

[0138] By adjusting the load of electrolytic aluminum to participate in the demand response of the power system, the carbon emissions of the power system can be reduced.

[0139] By implementing day-ahead and intraday rolling scheduling of the power system across multiple time scales, the impact of photovoltaic output prediction errors can be reduced, thereby lowering the total operating cost of the power system.

[0140] It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0141] This application also provides an operating device for a power system. It should be noted that the operating device for a power system in this application can be used to execute the operating method for a power system provided in this application. This device is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0142] The following describes the operating apparatus of the power system provided in the embodiments of this application.

[0143] Figure 8 This is a schematic diagram of an operating device for a power system according to an embodiment of this application. For example... Figure 8 As shown, the device includes:

[0144] The first solving unit 10 is used to solve the first objective function under the constraints of the day-ahead scheduling constraints to obtain the day-ahead scheduling strategy;

[0145] The aforementioned day-ahead scheduling constraints are used to constrain the start-up and shutdown status of the aforementioned thermal power units, the electrical power output of the aforementioned thermal power units, the thermal power output of the aforementioned thermal power units, the electrical power output of the aforementioned photovoltaic power generation equipment, and the current flowing into the aforementioned electrolytic cell during each time period of the day. The dependent variable of the aforementioned first objective function is the minimum operating cost of the aforementioned power system during the aforementioned day. The independent variables of the aforementioned first objective function are the start-up and shutdown status of the aforementioned thermal power units, the electrical power output of the aforementioned thermal power units, the thermal power output of the aforementioned thermal power units, the electrical power output of the aforementioned photovoltaic power generation equipment, and the current flowing into the aforementioned electrolytic cell during each time period of the aforementioned day. The known quantity of the aforementioned day-ahead scheduling constraints is the maximum output electrical power of the aforementioned photovoltaic power generation equipment during each time period of the aforementioned day as predicted by the day-ahead. The aforementioned day-ahead scheduling strategy includes the start-up and shutdown status of the aforementioned thermal power units, the electrical power output of the aforementioned thermal power units, and the thermal power output of the aforementioned thermal power units during each time period of the aforementioned day. The aforementioned day-ahead scheduling strategy is the operating strategy with the lowest operating cost of the aforementioned power system during the aforementioned day.

[0146] The second solution unit 20 is used to solve the second objective function under the constraints of intraday scheduling and the above-mentioned daytime scheduling strategy to obtain the intraday scheduling strategy.

[0147] The intraday scheduling constraints are used to constrain at least the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell in each sub-period of the intraday scheduling period. The scheduling period includes the current period and multiple periods after the current period. The dependent variable of the second objective function is the minimum operating cost of the power system during the scheduling period. The independent variables of the second objective function are the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell in each sub-period of the scheduling period. The known quantities of the intraday scheduling constraints include: the maximum output electrical power of the photovoltaic power generation equipment in each sub-period of the scheduling period predicted in the previous period of the current period, and the day-ahead scheduling strategy. The intraday scheduling strategy is the operating strategy that minimizes the operating cost of the power system during the scheduling period.

[0148] Through the above embodiments, under the constraints of day-ahead scheduling, the first objective function is solved to obtain the day-ahead scheduling strategy. The independent variables of both the day-ahead scheduling constraints and the first objective function are the start-up and shutdown status of thermal power units, the electrical power output of thermal power units, the thermal power output of thermal power units, the electrical power output of photovoltaic power generation equipment, and the current flowing into the electrolytic cell during each time period within the day. That is, the participation of electrolytic aluminum in the power system demand response is considered when performing day-ahead scheduling of the power system. Then, under the constraints of intraday scheduling constraints and the day-ahead scheduling strategy, the second objective function is solved to obtain the intraday scheduling strategy. Furthermore, the independent variables of the intraday scheduling constraints and the second objective function are the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell in each sub-period of the intraday scheduling period. That is, the participation of electrolytic aluminum in the power system demand response is considered when performing intraday scheduling of the power system. Based on the consideration of the participation of electrolytic aluminum in the power system demand response, this application performs day-ahead to intraday multi-timescale rolling scheduling of the power system, thereby solving the problem that the existing technology lacks a multi-timescale rolling scheduling strategy that considers the participation of electrolytic aluminum in the power system response demand.

[0149] The aforementioned power system operating device includes a processor and a memory. The first and second solution units, etc., are stored as program units in the memory, and the processor executes these program units to achieve the corresponding functions. All of the above modules reside in the same processor; alternatively, the modules may be located in different processors in any combination.

[0150] The processor contains a kernel, which retrieves the corresponding program units from memory. One or more kernels can be configured, and adjusting kernel parameters can address the lack of multi-timescale rolling scheduling strategies in existing technologies that consider the participation of electrolytic aluminum in power system response requirements.

[0151] The memory may include non-permanent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0152] This invention provides a computer-readable storage medium that includes a stored program, wherein the program, when running, controls the device containing the computer-readable storage medium to execute the operation method of the power system.

[0153] This invention provides a processor for running a program, wherein the program executes the operation method of the power system.

[0154] This application also provides a computer program product, which, when executed on a data processing device, is suitable for executing an initialization program having at least the following method steps:

[0155] Step S201: Under the constraints of the day-ahead scheduling constraints, solve the first objective function to obtain the day-ahead scheduling strategy. The day-ahead scheduling constraints are used to constrain the start-up and shutdown status of the above-mentioned thermal power units, the electrical power output of the above-mentioned thermal power units, the thermal power output of the above-mentioned thermal power units, the electrical power output of the above-mentioned photovoltaic power generation equipment, and the current flowing into the above-mentioned electrolytic cell in each time period of the day.

[0156] Wherein, the dependent variable of the first objective function is the minimum operating cost of the power system within the day, the independent variables of the first objective function are the start-up and shutdown status of the thermal power unit, the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell in each time period of the day, the known quantity of the day-ahead scheduling constraint is the maximum output electrical power of the photovoltaic power generation equipment in each time period of the day-ahead prediction, the day-ahead scheduling strategy includes the start-up and shutdown status of the thermal power unit, the electrical power output of the thermal power unit, and the thermal power output of the thermal power unit in each time period of the day, and the day-ahead scheduling strategy is the operating strategy with the lowest operating cost of the power system within the day;

[0157] Step S202: Under the constraints of the intraday scheduling constraints and the above-mentioned daytime scheduling strategy, solve the second objective function to obtain the intraday scheduling strategy. The above-mentioned intraday scheduling constraints are used to constrain at least the electrical power output of the above-mentioned thermal power unit, the thermal power output of the above-mentioned thermal power unit, the electrical power output of the above-mentioned photovoltaic power generation equipment, and the current flowing into the above-mentioned electrolytic cell in each sub-period of the above-mentioned intraday scheduling period.

[0158] The aforementioned scheduling period includes the current period and multiple periods following the current period. The dependent variable of the second objective function is the minimum operating cost of the power system during the aforementioned scheduling period. The independent variables of the second objective function are the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell in each sub-period of the aforementioned scheduling period. The known quantities of the intraday scheduling constraints include: the maximum output electrical power of the photovoltaic power generation equipment in each sub-period of the aforementioned scheduling period predicted in the previous period of the aforementioned current period, and the aforementioned day-ahead scheduling strategy. The intraday scheduling strategy is the operating strategy that minimizes the operating cost of the power system during the aforementioned scheduling period.

[0159] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. They can be implemented using computer-executable program code, and thus can be stored in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those described herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0160] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0161] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0162] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0163] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0164] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0165] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, like read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0166] Computer-readable media include both permanent and non-permanent, removable and non-removable media that can store information by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0167] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0168] As can be seen from the above description, the embodiments of this application achieve the following technical effects:

[0169] 1) In the power system operation method of this application, under the constraints of day-ahead dispatching, the first objective function is solved to obtain the day-ahead dispatching strategy. The independent variables of the day-ahead dispatching constraints and the first objective function are the start-up and shutdown status of thermal power units, the electrical power output of thermal power units, the thermal power output of thermal power units, the electrical power output of photovoltaic power generation equipment, and the current flowing into the electrolytic cell during each time period of the day. That is, the participation of electrolytic aluminum in the power system demand response is considered when performing day-ahead dispatching of the power system. Then, under the constraints of intraday dispatching constraints and the day-ahead dispatching strategy, the second objective function is solved to obtain the intraday dispatching strategy. The application employs a multi-timescale rolling scheduling strategy for the power system, considering the participation of electrolytic aluminum in the power system demand response. This strategy addresses the lack of such a strategy in existing technologies. Furthermore, the independent variables of the intraday scheduling constraints and the second objective function are the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell during each sub-period of the intraday scheduling period.

[0170] 2) In the power system operation device of this application, under the constraints of day-ahead dispatching, the first objective function is solved to obtain the day-ahead dispatching strategy. The independent variables of the day-ahead dispatching constraints and the first objective function are the start-up and shutdown status of the thermal power units, the electrical power output of the thermal power units, the thermal power output of the thermal power units, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell during each time period of the day. That is, the participation of electrolytic aluminum in the power system demand response is considered when performing day-ahead dispatching of the power system. Then, under the constraints of intraday dispatching constraints and the day-ahead dispatching strategy, the second objective function is solved to obtain the intraday dispatching strategy. The application employs a multi-timescale rolling scheduling strategy for the power system, considering the participation of electrolytic aluminum in the power system demand response. This strategy addresses the lack of such a strategy in existing technologies. Furthermore, the independent variables of the intraday scheduling constraints and the second objective function are the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell during each sub-period of the intraday scheduling period.

[0171] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for operating a power system, characterized in that, The power system includes a thermal power unit, a photovoltaic power generation device, and an electrolytic cell. The thermal power unit is electrically connected to the electrolytic cell, and the photovoltaic power generation device is electrically connected to the electrolytic cell. The electrolytic cell is used to produce electrolytic aluminum, and the electrolytic cell consumes electrical power during the production of electrolytic aluminum. The method includes: Under the constraints of day-ahead scheduling, the first objective function is solved to obtain the day-ahead scheduling strategy. The day-ahead scheduling constraints are used to constrain the start-up and shutdown status of the thermal power unit, the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell in each time period of the day. The dependent variable of the first objective function is the minimum operating cost of the power system in the day. The independent variables of the first objective function are the start-up and shutdown status of the thermal power unit, the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell in each time period of the day. The known quantity of the day-ahead scheduling constraints is the maximum output electrical power of the photovoltaic power generation equipment in each time period of the day predicted by the day-ahead. The day-ahead scheduling strategy includes the start-up and shutdown status of the thermal power unit, the electrical power output of the thermal power unit, and the thermal power output of the thermal power unit in each time period of the day. The day-ahead scheduling strategy is the operating strategy with the lowest operating cost of the power system in the day. Under the constraints of intraday scheduling and the day-ahead scheduling strategy, a second objective function is solved to obtain the intraday scheduling strategy. The intraday scheduling constraints at least constrain the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell in each sub-period of the intraday scheduling period. The scheduling period includes the current period and multiple periods after the current period. The dependent variable of the second objective function is the minimum operating cost of the power system in the scheduling period. The independent variables of the second objective function are the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell in each sub-period of the scheduling period. The known quantities of the intraday scheduling constraints include: the maximum output electrical power of the photovoltaic power generation equipment in each sub-period of the scheduling period predicted in the previous period of the current period, and the day-ahead scheduling strategy. The intraday scheduling strategy is the operating strategy that minimizes the operating cost of the power system in the scheduling period.

2. The method according to claim 1, characterized in that, Before solving the first objective function under day-ahead scheduling constraints to obtain the constraints of the day-ahead scheduling policy, the method further includes: Establish the first objective function, the first objective function is: Where F1 is the minimum operating cost of the power system during the day, T is the total number of time periods included in the day, N is the total number of thermal power units included in the power system, and C chp R is the sum of the coal consumption costs of all the aforementioned thermal power units during the day, and R is the sum of the operation and maintenance costs of all the aforementioned electrolyzers during the day. pw P represents the operation and maintenance cost of the thermal power unit when it outputs a unit power. i,t Let be the power output of the i-th thermal power unit during time period t. Let be the electrical power output of the i-th thermal power unit during time period t. Let c be the thermal power output of the i-th thermal power unit during time period t. i Let C be the electrothermal characteristic coefficient of the i-th thermal power unit. sw P represents the operation and maintenance cost of the photovoltaic power generation equipment per unit of electrical power output. t sv C represents the electrical power output of the photovoltaic power generation equipment during time period t. lcut To offset the load penalty price, P t load C represents the load shedding amount during time period t. scut P is the price for the penalty of abandoning light. t svd C represents the amount of light discarded during time period t. corbon The carbon emission cost of the power system during the day.

3. The method according to claim 1, characterized in that, Before solving the second objective function to obtain the intraday scheduling strategy under the constraints of intraday scheduling and the day-ahead scheduling strategy, the method further includes: Establish the second objective function, which is: star = 24 × (num-1) - 1, where F2 is the minimum operating cost of the power system in the num-th scheduling period, N is the total number of thermal power units included in the power system, and C chp Let R be the sum of the coal consumption costs of all the aforementioned thermal power units in the num-th scheduling period, and let R be the sum of the operation and maintenance costs of all the aforementioned electrolyzers in the num-th scheduling period. pw P represents the operation and maintenance cost of the thermal power unit when it outputs a unit power. i,t Let be the power output of the i-th thermal power unit during sub-time period t. Let be the electrical power output of the i-th thermal power unit during sub-time period t. Let c be the thermal power output of the i-th thermal power unit during sub-time period t. i Let C be the electrothermal characteristic coefficient of the i-th thermal power unit. sw P represents the operation and maintenance cost of the photovoltaic power generation equipment per unit of electrical power output. t sv C represents the electrical power output of the photovoltaic power generation equipment during sub-time period t. lcut To offset the load penalty price, P t load C represents the load shedding amount for sub-period t. scut P is the price for the penalty of abandoning light. t svd C represents the amount of light discarded during sub-time period t. corbon Let be the carbon emission cost of the power system in the num-th scheduling period.

4. The method according to claim 2, characterized in that, In establishing the first objective function, the method further includes: A first objective sub-function is established, wherein the dependent variable of the first objective sub-function is the sum of the coal consumption costs of all the thermal power units in the day, and the independent variables of the first objective sub-function are the electrical power output of the thermal power units and the thermal power output of the thermal power units in each time period of the day. A second objective function is established, wherein the dependent variable of the second objective function is the carbon emission cost of the power system during the day, and the independent variables of the second objective function are the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, and the electrical power consumed by the electrolytic cell during each time period of the day. A third objective sub-function is established, wherein the dependent variable of the third objective sub-function is the sum of the operation and maintenance costs of all the electrolyzers during the day, and the independent variable of the first objective sub-function is the electrical power consumed by the electrolyzers in each time period of the day.

5. The method according to claim 3, characterized in that, In establishing the second objective function, the method further includes: A fourth objective sub-function is established, wherein the dependent variable of the fourth objective sub-function is the sum of the coal consumption costs of all the thermal power units during the scheduling period, and the independent variables of the fourth objective sub-function are the electrical power output of the thermal power units and the thermal power output of the thermal power units in each sub-period of the scheduling period. A fifth objective sub-function is established, wherein the dependent variable of the fifth objective sub-function is the carbon emission cost of the power system during the scheduling period, and the independent variables of the fifth objective sub-function are the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, and the electrical power consumed by the electrolytic cell in each sub-period of the scheduling period. A sixth objective sub-function is established, wherein the dependent variable of the sixth objective sub-function is the sum of the operation and maintenance costs of all the electrolyzers during the day, and the independent variable of the sixth objective sub-function is the electrical power consumed by the electrolyzers in each sub-period of the scheduling period.

6. The method according to claim 1, characterized in that, The day-ahead scheduling constraints include first day-ahead constraint sub-conditions, second day-ahead constraint sub-conditions, third day-ahead constraint sub-conditions, fourth day-ahead constraint sub-conditions, fifth day-ahead constraint sub-conditions, sixth day-ahead constraint sub-conditions, seventh day-ahead constraint sub-conditions, and eighth day-ahead constraint sub-conditions. Before solving the first objective function and obtaining the day-ahead scheduling strategy under the constraints of the day-ahead scheduling constraints, the method further includes: Establish the day-ahead scheduling constraints; Establish day-ahead scheduling constraints, including: Establish the first day-ahead constraint sub-condition, which is used to constrain the power balance of the thermal power unit, the photovoltaic power generation equipment, each of the electrolytic cells and various types of loads in each time period of the day; Establish the second day-ahead constraint sub-condition, which is used to constrain the start-up and shutdown status of the thermal power unit, the electrical power output of the thermal power unit, and the thermal power output of the thermal power unit in each time period of the day. Establish the third-day-ahead constraint sub-condition, which is used to constrain the upward ramp rate of the electrical power output of each of the thermal power units, the downward ramp rate of the electrical power output of each of the thermal power units, the upward ramp rate of the thermal power output of each of the thermal power units, and the downward ramp rate of the thermal power output of each of the thermal power units in each time period of the day. Establish the fourth-day-ahead constraint sub-condition, which is used to constrain the electrical power output of the photovoltaic power generation equipment in each time period of the day; Establish the fifth-day-ahead constraint sub-condition, which is used to constrain the electrical power consumed by each electrolytic cell in each time period of the day; Establish the sixth-day-ahead constraint sub-condition, which is used to constrain the upward ramp rate and the downward ramp rate of the electrical power consumed by each electrolytic cell in each time period of the day. Establish the seventh-day-ahead constraint sub-condition, which is used to constrain the thermal balance of all electrolyzers in the power system during each of the aforementioned time periods; Establish the eighth-day-ahead constraint sub-condition, which is used to constrain the total electrical energy consumed by the electrolytic aluminum in all the electrolytic cells during each time period of the day.

7. The method according to claim 1, characterized in that, The intraday scheduling constraints include first intraday constraint sub-conditions, second intraday constraint sub-conditions, third intraday constraint sub-conditions, fourth intraday constraint sub-conditions, fifth intraday constraint sub-conditions, sixth intraday constraint sub-conditions, seventh intraday constraint sub-conditions, eighth intraday constraint sub-conditions, and ninth intraday constraint sub-conditions. Before solving the second objective function to obtain the intraday scheduling strategy under the constraints of the intraday scheduling constraints and the day-ahead scheduling strategy, the method further includes: Establish the intraday scheduling constraints; Establish intraday scheduling constraints, including: Establish the first intraday constraint sub-condition, which is used to constrain the power balance of the thermal power unit, the photovoltaic power generation equipment, each electrolytic cell and various types of load in each sub-period of the scheduling period; Establish the second intraday constraint sub-condition, which is used to constrain the start-up and shutdown status of the thermal power unit, the electrical power output of the thermal power unit, and the thermal power output of the thermal power unit in each sub-period of the scheduling period; Establish the third-day constraint sub-conditions, which are used to constrain the ramp rate of the electrical power output of each of the thermal power units, the ramp rate of the electrical power output of each of the thermal power units, the ramp rate of the thermal power output of each of the thermal power units, and the ramp rate of the thermal power output of each of the thermal power units in each sub-period of the scheduling period. Establish the fourth-day constraint sub-condition, which is used to constrain the electrical power output of the photovoltaic power generation equipment in each sub-period of the scheduling period; Establish the fifth-day constraint sub-condition, which is used to constrain the electrical power consumed by each electrolytic cell in each sub-period of the scheduling period; Establish the sixth-day constraint sub-condition, which is used to constrain the ramp rate of the electrical power consumed by each electrolytic cell and the ramp rate of the electrical power consumed by each electrolytic cell in each sub-period of the scheduling period. Establish the seventh-day constraint sub-condition, which is used to constrain the thermal balance of all electrolyzers in the power system during each sub-period of the scheduling period; Establish the constraint sub-condition within the eighth day, which is used to constrain the total electrical energy consumed by the electrolytic aluminum in all the electrolytic cells in each sub-period of the scheduling period; The ninth-day constraint sub-condition is established, which is used to constrain the difference between the electrical power output of the thermal power unit in the sub-period of the intraday scheduling process and the electrical power output of the thermal power unit in the sub-period of the daytime scheduling process, and to constrain the difference between the thermal power output of the thermal power unit in the sub-period of the intraday scheduling process and the thermal power output of the thermal power unit in the sub-period of the daytime scheduling process.

8. An operating device for a power system, characterized in that, The power system includes a thermal power unit, a photovoltaic power generation device, and an electrolytic cell. The thermal power unit is electrically connected to the electrolytic cell, and the photovoltaic power generation device is electrically connected to the electrolytic cell. The electrolytic cell is used to produce electrolytic aluminum, and consumes electrical power during the production of electrolytic aluminum. The device includes: The first solution unit is used to solve the first objective function under day-ahead scheduling constraints to obtain the day-ahead scheduling strategy. The day-ahead scheduling constraints are used to constrain the start-up and shutdown status of the thermal power unit, the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell in each time period of the day. The dependent variable of the first objective function is the minimum operating cost of the power system in the day. The independent variables of the first objective function are the start-up and shutdown status of the thermal power unit, the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell in each time period of the day. The known quantity of the day-ahead scheduling constraints is the maximum output electrical power of the photovoltaic power generation equipment in each time period of the day predicted by the day-ahead. The day-ahead scheduling strategy includes the start-up and shutdown status of the thermal power unit, the electrical power output of the thermal power unit, and the thermal power output of the thermal power unit in each time period of the day. The day-ahead scheduling strategy is the operating strategy with the lowest operating cost of the power system in the day. The second solution unit is used to solve the second objective function under the intraday scheduling constraints and the day-ahead scheduling strategy to obtain the intraday scheduling strategy. The intraday scheduling constraints are used to constrain at least the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell in each sub-period of the intraday scheduling period. The scheduling period includes the current period and multiple periods after the current period. The dependent variable of the second objective function is the minimum operating cost of the power system in the scheduling period. The independent variables of the second objective function are the electrical power output of the thermal power unit, the thermal power output of the thermal power unit, the electrical power output of the photovoltaic power generation equipment, and the current flowing into the electrolytic cell in each sub-period of the scheduling period. The known quantities of the intraday scheduling constraints include: the maximum output electrical power of the photovoltaic power generation equipment in each sub-period of the scheduling period predicted in the previous period of the current period, and the day-ahead scheduling strategy. The intraday scheduling strategy is the operating strategy that minimizes the operating cost of the power system in the scheduling period.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein, when the program is executed, it controls the device containing the computer-readable storage medium to perform the power system operation method according to any one of claims 1 to 7.

10. A processor, characterized in that, The processor is used to run a program, wherein the program executes the operation method of the power system according to any one of claims 1 to 7.

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