An optimal load control method for electrolytic aluminum production that considers production safety and the coupling of multiple indicators.

Abstract

This application discloses a method for optimizing and controlling the electrolytic aluminum load, considering production safety and the coupling of multiple indicators. The method includes: determining the coupling relationship between key indicators during the electrolytic aluminum load power regulation process; determining the electrolytic aluminum load power regulation status based on the coupling relationship; and determining the optimization result of power system dispatch based on the electrolytic aluminum load power regulation status. In this method, by introducing electrolytic aluminum load power regulation into the dispatch of wind power systems, and utilizing the large capacity, high concentration, and fast regulation speed of electrolytic aluminum loads, the dispatch level of the power system is significantly improved, peak-shaving pressure is alleviated, the economic efficiency of system peak-shaving operation is improved, and the system effectively supports the absorption of wind power.

Description

Technical Field

[0001] This application relates to the technical field of power grid regulation, and in particular to a method for optimizing and controlling the load of electrolytic aluminum considering production safety and the coupling of multiple indicators. Background Technology

[0002] Wind power technology has become an effective solution to alleviate the global energy crisis and environmental problems. Statistics show that my country's renewable energy power generation accounts for one-third of the global total, with wind power accounting for as much as 40% of that.

[0003] In related technologies, the random fluctuations and anti-peak characteristics of wind power output significantly exacerbate the fluctuations in net load and peak-valley differences of the power system, increase the system's peak-shaving burden, and thus reduce the dispatch performance of the power system. Summary of the Invention

[0004] In view of this, this application provides a source-load hierarchical coordination method for wind power consumption and electrolytic aluminum load regulation, which can significantly improve the dispatch performance of the power system and enhance the system's wind power consumption level.

[0005] In a first aspect, this application provides a method for optimizing and controlling the load of electrolytic aluminum, comprising:

[0006] Determine the coupling relationship among key indicators during the load power regulation process of electrolytic aluminum;

[0007] Based on the aforementioned coupling relationship, the load power regulation status of electrolytic aluminum is determined;

[0008] Based on the power regulation status of the electrolytic aluminum load, the optimization results of power system dispatch are determined.

[0009] Optionally, the coupling relationship between key indicators during the regulation of electrolytic aluminum load power is determined, including:

[0010] Based on the actual production and operation characteristics of high-energy-consuming loads in electrolytic aluminum, the coupling relationship between power, current, and temperature of the electrolytic aluminum load is determined.

[0011] Determine the coupling relationship between temperature and production efficiency of electrolytic aluminum load.

[0012] Optionally, the coupling relationship between the power, current, and temperature of the electrolytic aluminum load can be expressed by the following formula:

[0013]

[0014] In the above formula, Let be the power of the electrolytic aluminum load j at time t. Let j be the power of the electrolytic aluminum load at time t-1. Let be the series of currents of the electrolytic aluminum load j at time t. Let t-1 be the production temperature of the electrolytic aluminum load j. This represents the inherent upper limit of the power of the electrolytic aluminum load j. This is the inherent lower limit of the power of the electrolytic aluminum load j. This is the inherent upper limit of the series current for electrolytic aluminum loads. R is the inherent lower limit of the series current for electrolytic aluminum load. j,m E is the equivalent resistance. j,m For the equivalent back electromotive force, c al m al These represent the specific heat capacity coefficient and mass of the electrolyte in the electrolytic cell, respectively. Let t be the production temperature of the electrolytic aluminum load j. Let t-1 be the production temperature of the electrolytic aluminum load j. This is the upper temperature limit for the electrolytic aluminum load. This is the lower limit of the temperature for the electrolytic aluminum load. This represents the lower limit of the adjustable load power of the electrolytic aluminum at time t, determined by the power-temperature coupling relationship. Δt represents the upper limit of the adjustable electrolytic aluminum load power at time t, determined by the power-temperature coupling relationship, and Δt is the unit time period for scheduling.

[0015] Optionally, the coupling relationship between the temperature of the electrolytic aluminum load and the production efficiency can be expressed by the following formula:

[0016]

[0017] In the above formula, T is the rated current efficiency of the electrolytic aluminum load j. j,N The rated temperature for electrolytic aluminum production. Let T be the current efficiency of the electrolytic aluminum load j at time t. j,t Let t be the temperature of the electrolytic aluminum load j at time t.

[0018] Optionally, the adjustment of the electrolytic aluminum load power is determined by means of the following formula.

[0019]

[0020] In the above formula, This characterizes whether the electrolytic aluminum load j is in a power-maintaining state at time t. This characterizes whether the electrolytic aluminum load j is in a power-up state at time t. This characterizes whether the electrolytic aluminum load j at time t is in a power reduction state. Let be the power of the electrolytic aluminum load j at time t. Let j be the power of the electrolytic aluminum load at time t-1. Let be the change in power of the electrolytic aluminum load j at time t compared to time t-1. The upward adjustment speed of the electrolytic aluminum load per unit time is adjusted. The downward adjustment speed of the electrolytic aluminum load per unit time Let Δt be the maximum allowable number of adjustments for the electrolytic aluminum load j within a scheduling cycle T, and let Δt be the unit time period for scheduling. Let j be the total rated output of electrolytic aluminum load during the scheduling period T. n represents the output of electrolytic aluminum at time t under load j. j,al K represents the number of electrolytic cells for aluminum electrolysis load j. al It represents the electrochemical equivalent of electrolytic aluminum.

[0021] Optionally, based on the electrolytic aluminum load power regulation status, the optimization result of power system dispatch is determined, including:

[0022] Based on the electrolytic aluminum load power regulation status, the system power balance constraints are determined;

[0023] The objective function is to minimize the power generation cost of thermal generators, the decision variable is the active power output of thermal generators, and the constraints are the system power balance constraint, the power transmission limit constraint of transmission lines, the ramping constraint of thermal generators, the active power output constraint of thermal generators, and the active power output constraint of new energy power plants. The optimization result is output by the power system dispatching.

[0024] Optionally, the objective function can be expressed as shown in the following formula.

[0025]

[0026] In the above formula, This represents the power generation cost of the g-th thermal generator. Let g be the active power output of the g-th thermal generator during time period t;

[0027] And / or, the system power balance constraint is expressed in the form of the following formula,

[0028]

[0029] In the above formula, For the active power output of the r-th renewable energy power station in time period t, Let e ​​be the normal load active power demand of the node in time period t. Let be the power of the electrolytic aluminum load j at time t;

[0030] And / or, the power transmission limit constraint of the transmission line is expressed by the following formula,

[0031]

[0032] In the above formula, Let g be the power transfer allocation factor of the g-th thermal generator relative to the l-th transmission line. and These are the power transfer allocation factors of the r-th renewable energy power station relative to the l-th transmission line, respectively. f is the power transfer allocation factor of the e-th node relative to the l-th transmission line. l This represents the power transmission limit of the l-th transmission line;

[0033] And / or, the ramp constraint of the thermal generator is expressed in the form of the following formula,

[0034]

[0035] In the above formula, For the g-th thermal generator, the downward ramp limit is... For the g-th thermal generator, the upward climbing limit is denoted as .

[0036] And / or, the active power output constraint of the thermal generator is expressed in the form of the following formula,

[0037]

[0038] In the above formula, For the minimum technical output of the g-th thermal power generator, To achieve the maximum technical output of the g-th thermal power generator;

[0039] And / or, the active power output constraint of the new energy power station is expressed in the form of the following formula,

[0040]

[0041] In the above formula, This represents the lower bound of the predicted active power output of the r-th renewable energy power station during time period t. This represents the upper limit of the predicted active power output of the r-th renewable energy power station during time period t.

[0042] Secondly, this application provides an electrolytic aluminum load optimization and control device, comprising:

[0043] The first determining module is used to determine the coupling relationship between key indicators during the electrolytic aluminum load power adjustment process;

[0044] The second determining module is used to determine the electrolytic aluminum load power adjustment status based on the coupling relationship;

[0045] The third determining module is used to determine the optimization result of power system dispatch based on the power regulation status of the electrolytic aluminum load.

[0046] Fourthly, this application provides a computer-readable storage medium including a program that, when run on a computer, causes the computer to perform the methods described above.

[0047] Fourthly, this application provides an execution device, including a processor and a memory, wherein the processor is coupled to the memory;

[0048] The memory is used to store programs;

[0049] The processor is configured to execute a program in the memory, causing the execution device to perform the method described above.

[0050] The method disclosed in this application introduces the regulation of electrolytic aluminum load power into the dispatching of wind power system. By utilizing the large capacity, high concentration, and fast regulation speed of electrolytic aluminum load, the dispatching level of power system is significantly improved, peak-shaving pressure is alleviated, the economic efficiency of peak-shaving operation of system is improved, and the system effectively supports the absorption of wind power. Attached Figure Description

[0051] The technical solution and other beneficial effects of this application will become apparent from the following detailed description of specific embodiments in conjunction with the accompanying drawings.

[0052] Figure 1 An operational flowchart of an exemplary embodiment of an electrolytic aluminum load optimization and control method is shown.

[0053] Figure 2 A typical daily load forecast curve and wind power forecast curve of the system provided in an exemplary embodiment are shown.

[0054] Figure 3 A histogram of total system output and wind curtailment provided by an exemplary embodiment is shown.

[0055] Figure 4 A histogram of the output loads of each electrolytic aluminum is shown in an exemplary embodiment.

[0056] Figure 5 A block diagram of an electrolytic aluminum load optimization and control device provided in an exemplary embodiment is shown.

[0057] Figure 6 A block diagram of the configuration of an execution device provided in an exemplary embodiment is shown. Detailed Implementation

[0058] To make the above-mentioned objectives, features, and advantages of this application more apparent and understandable, the specific embodiments of this application are described in detail below with reference to the accompanying drawings. Many specific details are set forth in the following description to provide a thorough understanding of this application. However, this application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar modifications without departing from the spirit of this application. Therefore, this application is not limited to the specific embodiments disclosed below.

[0059] The terms "first," "second," etc., used 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 so that the embodiments described herein can be implemented in a sequence other than that illustrated or 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 device that includes a series of steps or modules is not necessarily limited to those explicitly listed, but may include other steps or modules not explicitly listed or inherent to such processes, methods, products, or devices. The naming or numbering of steps appearing in this application does not imply that the steps in the method flow must be performed in the chronological / logical order indicated by the naming or numbering. The execution order of named or numbered process steps can be changed according to the desired technical purpose, as long as the same or similar technical effect is achieved. The division of units in this application is a logical division. In practical applications, there may be other division methods. For example, multiple units may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the shown or discussed mutual coupling, direct coupling, or communication connection may be through some interface, and the indirect coupling or communication connection between units may be electrical or other similar forms, none of which are limited in this application. Furthermore, the units or sub-units described as separate components may or may not be physically separated, may or may not be physical units, or may be distributed among multiple circuit units. Some or all of the units can be selected to achieve the purpose of the solution in this application according to actual needs.

[0060] Please refer to Figure 1 ,in Figure 1 A flowchart of an exemplary embodiment of an electrolytic aluminum load optimization and control method is shown. This method is implemented through steps 101-103.

[0061] In step 101, the coupling relationship between key indicators during the electrolytic aluminum load power regulation process is determined.

[0062] Understandably, key metrics here include, but are not limited to, power, current, equivalent back electromotive force, equivalent resistance, and temperature.

[0063] Here, the coupling relationships include, but are not limited to, the coupling relationships between power, current, and temperature, and the coupling relationships between temperature and production efficiency. Specifically, as a preferred demonstration implementation, the coupling relationships between key indicators during the electrolytic aluminum load power regulation process are determined, including:

[0064] Step 1011: Based on the actual production and operation characteristics of the high-energy-consuming load of electrolytic aluminum, determine the coupling relationship between the power, current, and temperature of the electrolytic aluminum load;

[0065] Here, as a preferred example, the coupling relationship between power, current, and temperature of the electrolytic aluminum load is expressed by the following formula:

[0066]

[0067] In the above formula, Let be the power of the electrolytic aluminum load j at time t. Let j be the power of the electrolytic aluminum load at time t-1. Let be the series of currents of the electrolytic aluminum load j at time t. Let t-1 be the production temperature of the electrolytic aluminum load j. This represents the inherent upper limit of the power of the electrolytic aluminum load j. This represents the inherent lower limit of the power of the electrolytic aluminum load j. This is the inherent upper limit of the series current for electrolytic aluminum loads. R is the inherent lower limit of the series current for electrolytic aluminum load. j,m E is the equivalent resistance. j,m For the equivalent back electromotive force, c al m al These represent the specific heat capacity coefficient and mass of the electrolyte in the electrolytic cell, respectively. Let t be the production temperature of the electrolytic aluminum load j. Let t-1 be the production temperature of the electrolytic aluminum load j. This is the upper temperature limit for the electrolytic aluminum load. This is the lower limit of the temperature for the electrolytic aluminum load. This represents the lower limit of the adjustable load power of the electrolytic aluminum at time t, determined by the power-temperature coupling relationship. Δt represents the upper limit of the adjustable electrolytic aluminum load power at time t, determined by the power-temperature coupling relationship, and Δt is the unit time period for scheduling.

[0068] It should be added that at time t, the electrolytic aluminum load j is in a state of power maintenance, power increase, or power decrease. A value of 1 indicates yes, and a value of 0 indicates no. A positive value indicates that the power is adjusted upwards, while a negative value indicates that the power is adjusted downwards.

[0069] Step 1012: Determine the coupling relationship between the temperature and production efficiency of the electrolytic aluminum load.

[0070] Here, as a preferred example, the coupling relationship between temperature and production efficiency in electrolytic aluminum production is expressed by the following formula:

[0071]

[0072] In the above formula, T is the rated current efficiency of the electrolytic aluminum load j. j,N The rated temperature for electrolytic aluminum production. Let T be the current efficiency of the electrolytic aluminum load j at time t. j,t Let t be the temperature of the electrolytic aluminum load j at time t.

[0073] In step 102, the electrolytic aluminum load power regulation status is determined based on the coupling relationship.

[0074] As a preferred demonstration implementation, the electrolytic aluminum load power regulation status is determined based on the aforementioned coupling relationship. Execute as shown in the following formula.

[0075]

[0076]

[0077] In the above formula, This characterizes whether the electrolytic aluminum load j is in a power-maintaining state at time t. This characterizes whether the electrolytic aluminum load j is in a power-up state at time t. This characterizes whether the electrolytic aluminum load j at time t is in a power reduction state. Let be the power of the electrolytic aluminum load j at time t. Let j be the power of the electrolytic aluminum load at time t-1. Let be the change in power of the electrolytic aluminum load j at time t compared to time t-1. The upward adjustment speed of the electrolytic aluminum load per unit time is adjusted. The downward adjustment speed of the electrolytic aluminum load per unit time Let Δt be the maximum allowable number of adjustments for the electrolytic aluminum load j within a scheduling cycle T, and let Δt be the unit time period for scheduling. Let j be the total rated output of electrolytic aluminum load during the scheduling period T. n represents the output of electrolytic aluminum at time t under load j. j,alK represents the number of electrolytic cells for the aluminum electrolytic load j (an aluminum electrolytic production series consists of dozens or hundreds of electrolytic cells connected in series). al It is the electrochemical equivalent of electrolytic aluminum (unit: g / (A·h), which can generally be taken as 0.3356).

[0078] It should be easily understood that "determining the electrolytic aluminum load power regulation status based on the aforementioned coupling relationship" means that the derivation process of the electrolytic aluminum load power regulation status specifically described above is based on the coupling relationship mentioned earlier.

[0079] In step 103, the optimization result of power system dispatch is determined based on the electrolytic aluminum load power regulation status.

[0080] As a preferred demonstration implementation, based on the electrolytic aluminum load power regulation status, the optimization results of power system dispatch are determined, including:

[0081] Step 1031: Based on the electrolytic aluminum load power adjustment status, determine the system power balance constraints;

[0082] It should be understood that the statement "determine the system power balance constraint based on the electrolytic aluminum load power adjustment status" means that the electrolytic aluminum load power adjustment status must be considered in the process of constructing the system power balance constraint, including but not limited to the inclusion of relevant parameters reflecting the electrolytic aluminum load power adjustment status in the formula of the system power balance constraint, or the electrolytic aluminum load power adjustment status as a prerequisite in the process of deriving the formula of the system power balance constraint.

[0083] Step 1032: With the minimum power generation cost of the thermal generator as the objective function, the active power output of the thermal generator as the decision variable, and the system power balance constraint, transmission line power transmission limit constraint, thermal generator ramping constraint, thermal generator active power output constraint, and new energy power station active power output constraint as constraints, construct the power system dispatch, and output the optimization result by the power system dispatch.

[0084] Here, as a preferred example, the objective function is expressed in the form of the following formula:

[0085]

[0086] In the above formula, This represents the power generation cost of the g-th thermal generator. Let g be the active power output of the g-th thermal generator during time period t.

[0087] Here, It could be about A quadratic function.

[0088] As an example, the system power balance constraint is expressed in the form of the following formula:

[0089]

[0090] In the above formula, For the active power output of the r-th renewable energy power station in time period t, Let e ​​be the normal load active power demand of the node in time period t. Let be the power of the electrolytic aluminum load j at time t.

[0091] It is worth noting that, as can be seen from the system power balance constraints expressed by the above formula, the system power balance includes parameters related to the power regulation status of the electrolytic aluminum load. That is, the process of determining the system power balance is based on the power regulation status of the electrolytic aluminum load.

[0092] By way of example, the power transmission limit constraint of the transmission line is expressed by the following formula:

[0093]

[0094] In the above formula, Let g be the power transfer allocation factor of the g-th thermal generator relative to the l-th transmission line. and These are the power transfer allocation factors of the r-th renewable energy power station relative to the l-th transmission line, respectively. f is the power transfer allocation factor of the e-th node relative to the l-th transmission line. l This represents the power transmission limit of the l-th transmission line.

[0095] Here, the power transfer distribution factor (PTDF) is used.

[0096] By way of example, the ramp constraint of the thermal generator is expressed by the following formula:

[0097]

[0098] In the above formula, For the g-th thermal generator, the downward ramp limit is... This represents the upward climbing limit of the g-th thermal generator.

[0099] By way of example, the active power output constraint of the thermal generator is expressed by the following formula:

[0100]

[0101] In the above formula, For the minimum technical output of the g-th thermal power generator, To achieve the maximum technical output of the g-th thermal power generator;

[0102] As an example, the active power output constraint of the new energy power station is expressed by the following formula:

[0103]

[0104] In the above formula, This represents the lower bound of the predicted active power output of the r-th renewable energy power station during time period t. This represents the upper limit of the predicted active power output of the r-th renewable energy power station during time period t.

[0105] To make it easier to understand, we will further explain the electrolytic aluminum load optimization and control mentioned above using a common application scenario (i.e., a case study).

[0106] The simulation test system uses a real-world regional system, the structure of which is shown in Table 1. Wind power capacity accounts for 39.36% of the total power supply. Operating parameters for some thermal power units are shown in Table 2, and operating parameters for some electrolytic aluminum loads are shown in Table 3. The dispatch cycle is 24 hours per day, with each time period lasting 1 hour. Typical daily load forecast curves and wind power forecast curves for this region are shown below. Figure 2 As shown.

[0107] Table 1. Source and load composition structure of a system in a certain region

[0108]

[0109] Table 2. Some operating parameters of thermal power units

[0110]

[0111] Table 3 Operating parameters for high-energy-consuming loads in electrolytic aluminum production

[0112]

[0113] like Figure 3 As shown, this is a histogram of the system's resource output at various times. It can be observed that during the nighttime periods of 1:00–9:00 and 23:00–24:00, wind power output is at its highest, and the electrolytic aluminum load adjusts its power upwards to absorb wind power. During the daytime, the electrolytic aluminum load can adjust its power downwards to reduce peak loads. In the example system, the wind curtailment rate can be reduced to 6.20%.

[0114] like Figure 4As shown, this illustrates the power adjustment of each electrolytic aluminum load at various times. The maximum upward adjustment range is 105% of the rated power, and the maximum downward adjustment range is 88.34% of the rated power. The corresponding upper and lower limits of the series current are 103.9% and 92.1% of the rated current, respectively. Simultaneously, the adjustment method of the electrolytic aluminum load meets its daily cycle production requirements without affecting the safety of its production process. This demonstrates that the electrolytic aluminum load optimization and control method proposed in this patent, which considers production process safety and multi-index coupling, precisely characterizes the adjustment characteristics of the electrolytic aluminum load. The effectiveness of its control method was calculated using a power system economic dispatch model, thus verifying the effectiveness of the patented model and method.

[0115] Please refer to Figure 5 The diagram illustrates a block diagram of the electrolytic aluminum load optimization and control device provided in this application. The device 200 includes:

[0116] The first determining module 201 is used to determine the coupling relationship between key indicators during the electrolytic aluminum load power adjustment process;

[0117] The second determining module 202 is used to determine the electrolytic aluminum load power adjustment status based on the coupling relationship;

[0118] The third determining module 203 is used to determine the optimization result of power system dispatch based on the power regulation status of the electrolytic aluminum load.

[0119] Since the methods mentioned above have been discussed in detail, the specific execution of the above modules will not be repeated here.

[0120] The following describes an execution device provided in an embodiment of this application. Please refer to [link / reference]. Figure 6 , Figure 6 This is a schematic diagram of an execution device provided in an embodiment of this application. The execution device 300 can specifically be an autonomous vehicle, a mobile phone, a tablet, a laptop, a desktop computer, a monitoring data processing device, etc., and is not limited thereto. The execution device 300 is used to implement... Figure 1 The corresponding embodiment executes the function of the device. Specifically, the execution device 300 includes: a receiver 301, a transmitter 302, a processor 303, and a memory 304 (wherein the execution device 300 may have one or more processors 303). Figure 6 (Taking a processor as an example), processor 303 may include application processor 3031 and communication processor 3032. In some embodiments of this application, receiver 301, transmitter 302, processor 303 and memory 304 may be connected via bus or other means.

[0121] Memory 304 may include read-only memory and random access memory, and provides instructions and data to processor 303. A portion of memory 304 may also include non-volatile random access memory (NVRAM). Memory 304 stores processor and operation instructions, executable modules, or data structures, or subsets thereof, or extended sets thereof, wherein the operation instructions may include various operation instructions for implementing various operations.

[0122] Processor 303 controls the operation of the execution device. In specific applications, the various components of the execution device are coupled together through a bus system, which may include not only the data bus, but also power buses, control buses, and status signal buses. However, for clarity, all buses are referred to as the bus system in the diagram.

[0123] The methods disclosed in the embodiments of this application can be applied to or implemented by processor 303. Processor 303 can be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of processor 303 or by instructions in software form. Processor 303 can be a general-purpose processor, a digital signal processor (DSP), a microprocessor, or a microcontroller, and may further include an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. Processor 303 can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this application can be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module can reside in a readily available storage medium in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory 304. The processor 303 reads the information from memory 304 and, in conjunction with its hardware, completes the steps of the above method.

[0124] Receiver 301 can be used to receive input digital or character information, and to generate signal inputs related to the settings and function control of the execution device. Transmitter 302 can be used to output digital or character information through the first interface; transmitter 302 can also be used to send instructions to the disk group through the first interface to modify the data in the disk group; transmitter 302 may also include a display device such as a display screen.

[0125] In this embodiment of the application, the processor 303 is used to execute... Figure 1 The method for obtaining system capacity executed by the execution device in the corresponding embodiment. The specific manner in which the application processor 3031 in processor 303 executes the above steps is the same as in this application. Figure 1 The various method embodiments are based on the same concept, and the technical effects they bring are the same as those in this application. Figure 1 The corresponding method embodiments are the same, and for details, please refer to the description in the method embodiments shown above in this application, which will not be repeated here.

[0126] The above description is merely a preferred embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application.

Claims

1. A method for optimizing and controlling the load of electrolytic aluminum, characterized in that, include: Determine the coupling relationship among key indicators during the load power regulation process of electrolytic aluminum; The key indicators mentioned include at least power, current, and temperature; Based on the aforementioned coupling relationship, the power regulation status of the electrolytic aluminum load is determined; the power regulation status is expressed as the change in power of the electrolytic aluminum load j at time t compared to time t-1. Based on the electrolytic aluminum load power regulation status, the optimization results of power system dispatch are determined; The determination of the optimization result of power system dispatch based on the electrolytic aluminum load power regulation status includes: Based on the electrolytic aluminum load power regulation status, the system power balance constraints are determined; The objective function is to minimize the power generation cost of thermal generators, the decision variable is the active power output of thermal generators, and the constraints are the system power balance constraint, the power transmission limit constraint of transmission lines, the ramping constraint of thermal generators, the active power output constraint of thermal generators, and the active power output constraint of new energy power plants. The optimization result is output by the power system dispatching.

2. The method according to claim 1, characterized in that, Determine the coupling relationship between key indicators during the regulation of electrolytic aluminum load power, including: Based on the actual production and operation characteristics of high-energy-consuming loads in electrolytic aluminum, the coupling relationship between power, current, and temperature of the electrolytic aluminum load is determined. Determine the coupling relationship between temperature and production efficiency of electrolytic aluminum load.

3. The method according to claim 2, characterized in that, The coupling relationship between power, current, and temperature of an electrolytic aluminum load is expressed by the following formula: ； ； ； ； ； ； ； In the above formula, for Constant Electrolytic Aluminum Load power, for Constant Electrolytic Aluminum Load power, for Constant Electrolytic Aluminum Load The series of currents, for Constant Electrolytic Aluminum Load The production temperature, For electrolytic aluminum load The inherent upper limit of power, For electrolytic aluminum load The inherent lower limit of power, This is the inherent upper limit of the series current for electrolytic aluminum loads. This is the inherent lower limit of the series current for electrolytic aluminum load. Equivalent resistance This is the equivalent back electromotive force. , These represent the specific heat capacity coefficient and mass of the electrolyte in the electrolytic cell, respectively. for Constant Electrolytic Aluminum Load The production temperature, for Constant Electrolytic Aluminum Load The production temperature, This is the upper temperature limit for the electrolytic aluminum load. This is the lower limit of the temperature for the electrolytic aluminum load. for The lower limit of adjustable electrolytic aluminum load power, determined by the power-temperature coupling relationship, is constantly being established. for The upper limit of the adjustable load power of electrolytic aluminum, which is determined by the power-temperature coupling relationship at all times. This refers to the time period for scheduling.

4. The method according to claim 2, characterized in that, The coupling relationship between temperature and production efficiency in electrolytic aluminum production is expressed by the following formula. ； In the above formula, For electrolytic aluminum load Rated current efficiency, The rated temperature for electrolytic aluminum production. for Constant Electrolytic Aluminum Load Current efficiency, for Constant Electrolytic Aluminum Load The temperature.

5. The method according to claim 1, characterized in that, The determination of the electrolytic aluminum load power regulation status is performed using the following formula. ； ； ； ； ； ； ； ； In the above formula, Characterization Constant Electrolytic Aluminum Load Is it in power hold mode? Characterization Constant Electrolytic Aluminum Load Is it in power up mode? Characterization Constant Electrolytic Aluminum Load Is it in power reduction mode? for Constant Electrolytic Aluminum Load power, for Constant Electrolytic Aluminum Load power, for Constant Electrolytic Aluminum Load Compared to The change in power at any given time. The upward adjustment speed of the electrolytic aluminum load per unit time is adjusted. The downward adjustment speed of the electrolytic aluminum load per unit time For electrolytic aluminum load In a scheduling cycle The maximum number of adjustments allowed within; For electrolytic aluminum load During the scheduling period Total rated output within, express Constant Electrolytic Aluminum Load production, For electrolytic aluminum load The number of electrolytic cells, It represents the electrochemical equivalent of electrolytic aluminum.

6. The method according to claim 1, characterized in that, The objective function is expressed by the following formula. ； In the above formula, This represents the power generation cost of the g-th thermal generator. Let g be the active power output of the g-th thermal generator during time period t; And / or, the system power balance constraint is expressed in the form of the following formula, ； In the above formula, For the active power output of the r-th renewable energy power station in time period t, Let e ​​be the normal load active power demand of the node in time period t. for Constant Electrolytic Aluminum Load The power; And / or, the power transmission limit constraint of the transmission line is expressed by the following formula, ； In the above formula, Let g be the power transfer allocation factor of the g-th thermal generator relative to the l-th transmission line. and These are the power transfer allocation factors of the r-th renewable energy power station relative to the l-th transmission line, respectively. Let be the power transfer allocation factor of the e-th node relative to the l-th transmission line. This represents the power transmission limit of the l-th transmission line; And / or, the ramp constraint of the thermal generator is expressed in the form of the following formula, ； In the above formula, For the g-th thermal generator, the downward ramp limit is... For the g-th thermal generator, the upward climbing limit is denoted as . And / or, the active power output constraint of the thermal generator is expressed in the form of the following formula, ； In the above formula, For the minimum technical output of the g-th thermal power generator, To achieve the maximum technical output of the g-th thermal power generator; And / or, the active power output constraint of the new energy power station is expressed in the form of the following formula, ； In the above formula, This represents the lower bound of the predicted active power output of the r-th renewable energy power station during time period t. This represents the upper limit of the predicted active power output of the r-th renewable energy power station during time period t.

7. A device for optimizing and controlling the load of electrolytic aluminum, characterized in that, include: The first determining module is used to determine the coupling relationship between key indicators during the electrolytic aluminum load power adjustment process; The key indicators mentioned include at least power, current, and temperature; The second determining module is used to determine the electrolytic aluminum load power adjustment status based on the coupling relationship; the power adjustment status is expressed as the power change of the electrolytic aluminum load j at time t compared to time t-1; The third determining module is used to determine the optimization result of power system dispatch based on the electrolytic aluminum load power regulation status; It is also used to determine system power balance constraints based on the electrolytic aluminum load power adjustment status; The objective function is to minimize the power generation cost of thermal generators, the decision variable is the active power output of thermal generators, and the constraints are the system power balance constraint, the power transmission limit constraint of transmission lines, the ramping constraint of thermal generators, the active power output constraint of thermal generators, and the active power output constraint of new energy power plants. The optimization result is output by the power system dispatching.

8. A computer-readable storage medium, characterized in that, Includes a program that, when run on a computer, causes the computer to perform the method as described in any one of claims 1 to 6.

9. An execution device, characterized in that, It includes a processor and a memory, wherein the processor is coupled to the memory; The memory is used to store programs; The processor is configured to execute a program in the memory, causing the execution device to perform the method as described in any one of claims 1 to 6.

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