Scheduling method and device of energy equipment and nonvolatile storage medium

Abstract

The invention discloses a scheduling method and device of energy equipment and a nonvolatile storage medium. The method comprises the following steps: acquiring respective corresponding predicted output power of cold and heat energy equipment and electric energy equipment in a target energy system in the current day; inputting the predicted output power of the cold and hot energy equipment within a first preset duration from the current moment into the cold and hot energy scheduling model, and adjusting the output power of the cold and hot energy equipment within the first preset duration from the current moment; and inputting the cold and hot energy predicted output power correction value and the predicted output power of the electric energy equipment within a second preset duration from the current moment into an electric energy scheduling model, and adjusting the output power of the electric energy equipment within the second preset duration from the current moment. According to the method and the device, the technical problem of relatively low scheduling flexibility and adaptability caused by scheduling different energy equipment by using a single time scale and a fixed time interval is solved.

Description

Technical Field

[0001] The present invention relates to the field of new energy and energy-saving technologies, and in particular to a scheduling method and device for energy equipment and a non-volatile storage medium. Background Art

[0002] An integrated energy system with multi-energy coupling and coordinated supply is one of the key technical directions to alleviate the contradiction between energy supply and demand and promote low carbonization, and it is also one of the important development trends in the energy field. The integrated energy system includes multiple subsystems such as electrical cooling and heating. For example, the power supply subsystem needs to achieve real-time balance of electric energy, so its scheduling time interval is usually in seconds or minutes, which belongs to a fast dynamic system; while the heating and gas supply subsystems are usually scheduled in hours due to factors such as the pipe storage characteristics of gas pipelines, thermal inertia of heat networks and building complexes, and belong to a slow dynamic system. Due to the differences in the scheduling time intervals of various equipment and their respective operating characteristics, the scheduling optimization problem of the integrated energy system becomes very complicated, involving optimization problems of multiple time scales and multiple energy flows.

[0003] At present, the intraday two-layer optimization model of the integrated energy system has the following main shortcomings: ① The scheduling model has a single time scale. The existing technology often adopts a scheduling model with a single time scale, which cannot effectively take into account the differences in the fast and slow dynamic characteristics of different subsystems in the integrated energy system. This leads to the inability to fully consider the coordinated operation between different subsystems in the scheduling process, affecting the scheduling effect and the overall performance of the system; ② Lack of dynamic time interval scheduling method. The existing technology often adopts a fixed scheduling time interval, and cannot flexibly adjust the time interval according to the real-time operation situation. Due to the complexity and dynamics of the integrated energy system, the fixed time interval scheduling method may not be able to effectively respond to the real-time changes in the system operation, affecting the flexibility and adaptability of the scheduling.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] Embodiments of the present invention provide a method, apparatus and non-volatile storage medium for scheduling energy equipment, so as to at least solve the technical problem that scheduling different energy equipment using a single time scale and fixed time intervals results in low scheduling flexibility and adaptability.

[0006] According to one aspect of an embodiment of the present invention, a scheduling method for energy equipment is provided, including: obtaining the predicted output power corresponding to each of the cold and heat energy equipment and the electric energy equipment in the target energy system within the day; inputting the predicted output power of the cold and heat energy equipment within a first preset time period from the current moment into the cold and heat energy scheduling model, and determining a correction value of the cold and heat energy predicted output power of the cold and heat energy equipment within the first preset time period from the current moment; based on the correction value of the cold and heat energy predicted output power, adjusting the output power of the cold and heat energy equipment within the first preset time period from the current moment, and generating a start instruction; based on the start instruction, inputting the correction value of the cold and heat energy predicted output power and the predicted output power of the electric energy equipment within a second preset time period from the current moment into the electric energy scheduling model, and determining a first electric energy predicted output power correction value of the electric energy equipment within the second preset time period from the current moment, wherein the first preset time period is greater than the second preset time period; based on the first electric energy predicted output power correction value, adjusting the output power of the electric energy equipment within the second preset time period from the current moment.

[0007] Optionally, the predicted output power of the cold and heat energy equipment and the electric energy equipment in the target energy system on the day is obtained, including: based on the output power of the cold and heat energy equipment and the electric energy equipment on the previous day, determining the predicted output power of the cold and heat energy equipment and the electric energy equipment on the day.

[0008] Optionally, before inputting the predicted output power of the cold and heat energy equipment within a first preset time period starting from the current moment into the cold and heat energy scheduling model, it includes: determining the cold and heat energy scheduling model based on a first preset relationship and a first constraint condition, wherein the first preset relationship is used to calculate the minimum total cost of the operation of the cold and heat energy equipment, and the first constraint condition includes a constraint on the operating power of the cold and heat energy equipment and a constraint on the inflow power and outflow power of the cold and heat bus.

[0009] Optionally, before inputting the predicted output power correction value of cold and heat energy and the predicted output power of the electric energy equipment within a second preset time period from the current moment into the electric energy scheduling model based on the start instruction, it includes: determining the electric energy scheduling model based on a second preset relationship and a second constraint, wherein the second preset relationship is used to calculate the minimum total cost of the operation of the electric energy equipment, and the second constraint includes a constraint on the operating power of the electric energy equipment, a constraint on the power inflow and outflow of the power bus, and a constraint on the power of the power interconnection line.

[0010] Optionally, determine the moment after the current moment has passed the second preset time as the first moment; at the first moment, input the predicted output power correction value of cold and heat energy and the predicted output power of the electric energy equipment from the first moment to the second preset time into the electric energy scheduling model, and determine the second electric energy predicted output power correction value of the electric energy equipment from the first moment to the second preset time; based on the second electric energy predicted output power correction value, adjust the output power of the electric energy equipment from the first moment to the second preset time; repeat the above steps until the first preset time has passed from the current moment.

[0011] Optionally, in the case where a first preset time has passed from the current moment, the method includes: determining the moment after the first preset time has passed from the current moment as the second moment; generating a rolling instruction; based on the rolling instruction, starting from the second moment, repeating the above steps within the previous first preset time, and adjusting the output power of the cold and heat energy equipment from the second moment after the first preset time and the output power of the electric energy equipment from the second moment after the second preset time.

[0012] According to another aspect of an embodiment of the present invention, a scheduling device for energy equipment is also provided, including: an acquisition module, used to obtain the predicted output power corresponding to the cold and heat energy equipment and the electric energy equipment in the target energy system on the same day; a first determination module, used to input the predicted output power of the cold and heat energy equipment within a first preset time period from the current moment into the cold and heat energy scheduling model, and determine the cold and heat energy predicted output power correction value of the cold and heat energy equipment within the first preset time period from the current moment; a first adjustment module, used to adjust the cold and heat energy equipment from the current moment to the first preset time period based on the cold and heat energy predicted output power correction value. The output power within the preset time length is adjusted and a start instruction is generated; a second determination module is used to input the cold and heat energy predicted output power correction value and the predicted output power of the electric energy equipment from the current moment through the second preset time length into the electric energy scheduling model based on the start instruction, and determine the first electric energy predicted output power correction value of the electric energy equipment from the current moment through the second preset time length, wherein the first preset time length is greater than the second preset time length; a second adjustment module is used to adjust the output power of the electric energy equipment from the current moment through the second preset time length based on the first electric energy predicted output power correction value.

[0013] According to another aspect of an embodiment of the present invention, a non-volatile storage medium is provided, the non-volatile storage medium including a stored program, wherein when the program is running, the device where the non-volatile storage medium is located is controlled to execute any one of the above-mentioned energy device scheduling methods.

[0014] According to another aspect of the embodiments of the present invention, a computer device is provided. The computer device includes a processor, and the processor is used to run a program. When the program is run, any one of the above-mentioned energy device scheduling methods is executed.

[0015] According to yet another aspect of an embodiment of the present invention, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, any one of the above-mentioned energy device scheduling methods is implemented.

[0016] In an embodiment of the present invention, a scheduling method for energy equipment is adopted, by obtaining the predicted output power corresponding to the cold and heat energy equipment and the electric energy equipment in the target energy system on the same day; the predicted output power of the cold and heat energy equipment within a first preset time period from the current moment is input into the cold and heat energy scheduling model, and a correction value of the cold and heat energy predicted output power of the cold and heat energy equipment within the first preset time period from the current moment is determined; based on the correction value of the cold and heat energy predicted output power, the output power of the cold and heat energy equipment in the first preset time period from the current moment is adjusted, and a start instruction is generated; based on the start instruction, the correction value of the cold and heat energy predicted output power and the predicted output power of the electric energy equipment within a second preset time period from the current moment are input into the electric energy scheduling model, and the first electric energy predicted output power correction value of the electric energy equipment within the second preset time period from the current moment is determined, wherein the first preset time period is greater than the second preset time period; based on the first electric energy predicted output power correction value, the output power of the electric energy equipment within the second preset time period from the current moment is adjusted. The purpose of dividing the intraday scheduling model into two layers, adopting scheduling time intervals of different lengths, dynamically adjusting the time intervals, and rollingly revising the day-ahead plan was achieved, thereby achieving the technical effect of improving the flexibility and adaptability of the integrated energy system scheduling, and further solving the technical problem of low scheduling flexibility and adaptability caused by using a single time scale and fixed time interval to schedule different energy equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0018] Figure 1 A hardware structure block diagram of a computer terminal for implementing a scheduling method for energy equipment is shown;

[0019] Figure 2 is a flow chart of a method for scheduling energy equipment provided according to an embodiment of the present invention;

[0020] Figure 3 is a diagram of a multi-region integrated energy system architecture provided according to an optional embodiment of the present invention;

[0021] Figure 4 A time domain control strategy diagram for intraday scheduling of an integrated energy system based on model predictive control according to an optional embodiment of the present invention;

[0022] Figure 5 A daily double-layer scheduling strategy diagram of an integrated energy system based on model predictive control according to an optional embodiment of the present invention;

[0023] Figure 6 It is a structural diagram of a scheduling device for energy equipment provided according to an embodiment of the present invention. DETAILED DESCRIPTION

[0024] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0026] According to an embodiment of the present invention, an embodiment of a scheduling method for energy equipment is provided. It should be noted that the steps shown in the flowchart of 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 can be executed in an order different from that shown here.

[0027] The method embodiment provided in the first embodiment of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Figure 1 The hardware structure block diagram of a computer terminal for implementing a scheduling method for energy equipment is shown. Figure 1As shown, the computer terminal 10 may include one or more (102a, 102b, ..., 102n are used to illustrate) processors (the processor may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 104 for storing data. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the BUS bus), a network interface, a power supply and / or a camera. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0028] It should be noted that the one or more processors and / or other data processing circuits described above may generally be referred to herein as "data processing circuits". The data processing circuits may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. In addition, the data processing circuit may be a single independent processing module, or may be incorporated in whole or in part into any of the other components in the computer terminal 10. As described in the embodiments of the present application, the data processing circuit acts as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).

[0029] The memory 104 can be used to store software programs and modules of application software, such as program instructions / data storage devices corresponding to the scheduling method of energy equipment in the embodiment of the present invention. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, the scheduling method of energy equipment for the above-mentioned application program is realized. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor, and these remote memories may be connected to the computer terminal 10 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0030] The display may be, for example, a touch screen liquid crystal display (LCD) that enables a user to interact with a user interface of the computer terminal 10 .

[0031] Figure 2 is a flow chart of a method for dispatching energy equipment according to an embodiment of the present invention. Figure 2 As shown, the method comprises the following steps:

[0032] Step S201, obtaining the predicted output power corresponding to each of the cold and heat energy equipment and the electric energy equipment in the target energy system on the day.

[0033] In this step, the target energy system may be a comprehensive energy system, and the cold and heat energy equipment and the electric energy equipment are part of the comprehensive energy system. Figure 3 1 is a diagram of a multi-region integrated energy system architecture provided according to an optional embodiment of the present invention. Figure 3 As shown in the figure, the integrated energy system includes three subsystems: cooling, heating and electricity. The energy input ends mainly include grid electricity, distributed energy (DG), gas turbines (GT), gas boilers (GB) and fuel cells (FC). The communication equipment of each system mainly includes electric boilers (EB), electric refrigerators (EC) and absorption refrigerators (AC). Each subsystem is equipped with energy storage equipment, which are batteries, heat storage tanks and cold storage tanks. Among them, the cooling and heating energy equipment includes gas turbines, gas boilers, electric boilers, electric refrigerators and absorption refrigerators, and the electric energy equipment includes distributed energy and fuel cells. The integrated energy system also includes electric loads, cooling loads, heat loads and system loads. The system load includes uncontrollable basic loads and controllable flexible loads, among which the flexible loads include: shiftable loads, transferable loads and reducible loads. In the scheduling of the energy system, the system operation status of the previous day can be used to predict the system scheduling status of the day and generate a day-ahead scheduling plan. The day-ahead scheduling plan can include the predicted output power of each device, the scheduling of energy storage equipment and the operating status of the load. Among them, considering the complexity of load switching and operation, the operating status of load that can be cut, load that can be shifted, and load that can be transferred are all determined by the day-ahead dispatch plan and do not participate in the correction of the day-ahead forecast value within the day. Similarly, in the correction of the day-ahead dispatch plan within the day, due to frequent power fluctuations, the energy storage equipment has basically reached the maximum number of charge and discharge times in the day-ahead dispatch plan. Therefore, the energy storage equipment does not participate in the correction of the day-ahead forecast value within the day.

[0034] Step S202: input the predicted output power of the cold and heat energy equipment within a first preset time period from the current moment into the cold and heat energy scheduling model to determine a correction value of the predicted output power of the cold and heat energy equipment within the first preset time period from the current moment.

[0035] In this step, the goal of the cold and heat energy scheduling model is to ensure the lowest operating cost of the cold and heat energy equipment, and to schedule the cold and heat energy equipment while meeting the constraints of the operation of the cold and heat energy equipment, so as to obtain the optimal output power of the cold and heat energy equipment. The content that the cold and heat energy scheduling model wants to adjust can be the correction of the day-ahead scheduling plan. The predicted output power of the cold and heat energy equipment from the current moment through the first preset time length in the day-ahead scheduling plan is input into the cold and heat energy scheduling model to obtain the cold and heat energy predicted output power correction value of the cold and heat energy equipment from the current moment through the first preset time length. For example, the first preset time length can be 1 hour. Within 1 hour, the system scheduling plan in the prediction domain and the control domain can be obtained. The scheduling plan of the control domain is executed according to the obtained cold and heat energy predicted output power correction value, and it is sent to the lower-level electric energy scheduling model to wait for its scheduling end instruction. At the same time, the prediction domain and the control domain are rolling optimized to the next first preset time length. Among them, the control domain and prediction domain are both concepts related to time. The time scale of the control domain and prediction domain of the upper-level cold and hot energy scheduling model is 1 hour; the time scale of the control domain and prediction domain of the lower-level electric energy scheduling model is 15 minutes; prediction is to predict the load information of the next time period, and control is to solve the optimization model based on the predicted load information, which can be understood as tracking control.

[0036] Step S203: Based on the predicted output power correction value of the cold and heat energy, the output power of the cold and heat energy equipment in the first preset time period starting from the current moment is adjusted, and a start instruction is generated.

[0037] In this step, according to the correction value of the predicted output power of the cold and heat energy, the scheduling plan corresponding to the predicted output power of the cold and heat energy equipment within the first preset time period from the current moment is adjusted, and the cold and heat energy equipment is scheduled to obtain the optimal output power of the cold and heat energy equipment within the first preset time period. At the same time, the optimization result is sent to the lower-level power scheduling model, and a start instruction is generated to start the work of the lower-level power scheduling model.

[0038] Step S204, based on the start instruction, input the cold and heat energy predicted output power correction value and the predicted output power of the electric energy equipment from the current moment to the second preset time length into the electric energy scheduling model, and determine the first electric energy predicted output power correction value of the electric energy equipment from the current moment to the second preset time length, wherein the first preset time length is greater than the second preset time length.

[0039] In this step, the goal of the electric energy scheduling model is to ensure the lowest operating cost of the electric energy equipment, and to schedule the electric energy equipment while satisfying the constraints of the operation of the electric energy equipment, so as to obtain the optimal output power of the electric energy equipment. The content that the electric energy scheduling model wants to adjust can be the correction of the day-ahead scheduling plan. The predicted output power of the electric energy equipment from the current moment to the second preset time length in the day-ahead scheduling plan is input into the electric energy scheduling model to obtain the first electric energy predicted output power correction value of the electric energy equipment from the current moment to the second preset time length. For example, the second preset time length can be 15 minutes. The lower-level electric energy scheduling model waits for the scheduling plan instruction of the upper-level model control domain. Within 15 minutes, the first electric energy predicted output power correction value of the electric energy equipment from the current moment to the second preset time length is obtained. According to the corrected value of the predicted output power, the optimal scheduling strategy of the current layer of the electric system is determined.

[0040] Step S205: Based on the first electric energy predicted output power correction value, the output power of the electric energy equipment within a second preset time period starting from the current moment is adjusted.

[0041] In this step, based on the first electric energy predicted output power correction value, the scheduling plan corresponding to the predicted output power of the electric energy equipment within the second preset time period starting from the current moment is adjusted, and the electric energy equipment is scheduled to obtain the optimal output power of the electric energy equipment within the second preset time period.

[0042] Through the above steps, the purpose of dividing the intraday scheduling model into two layers, adopting scheduling time intervals of different lengths, dynamically adjusting the time intervals, and rollingly revising the day-ahead plan is achieved, thereby achieving the technical effect of improving the flexibility and adaptability of the integrated energy system scheduling, and further solving the technical problem of low scheduling flexibility and adaptability caused by using a single time scale and fixed time interval to schedule different energy equipment.

[0043] As an optional embodiment, the predicted output power of the cold and heat energy equipment and the electric energy equipment in the target energy system on the day is obtained, including: based on the output power of the cold and heat energy equipment and the electric energy equipment on the previous day, determining the predicted output power of the cold and heat energy equipment and the electric energy equipment on the day.

[0044] Optionally, the predicted output power of the cold and heat energy equipment and the electric energy equipment corresponding to each other on the same day can be obtained through the day-ahead scheduling plan. The day-ahead scheduling plan refers to the planning and arrangement of the operation of various links such as power generation, transmission, transformation, and distribution on the next day based on load demand, power generation capacity and other relevant factors one day before the operation of the energy system, with the aim of ensuring the balance between power supply and demand and reducing operating costs to a certain extent. The day-ahead scheduling plan in the embodiment of the present invention may include energy storage scheduling, flexible load, planned output of hot and cold energy equipment and planned output of electric energy equipment, wherein the planned output of hot and cold energy equipment and the planned output of electric energy equipment represent the predicted output power of the cold and heat energy equipment and the electric energy equipment corresponding to each other on the same day.

[0045] As an optional embodiment, before the predicted output power of the cold and heat energy equipment within a first preset time period starting from the current moment is input into the cold and heat energy scheduling model, it includes: determining the cold and heat energy scheduling model based on a first preset relationship and a first constraint condition, wherein the first preset relationship is used to calculate the minimum total cost of the cold and heat energy equipment operation, and the first constraint condition includes a constraint on the operating power of the cold and heat energy equipment and a constraint on the inflow power and outflow power of the cold and heat bus.

[0046] Optionally, the objective function of the cold and heat energy scheduling model mainly considers the total cost of cold and heat energy equipment scheduling, including: gas turbine operating cost; gas boiler operating cost; electric boiler operating cost; electric refrigerator operating cost; absorption refrigerator operating cost; gas turbine power generation income; electric boiler power consumption cost; electric refrigerator power consumption cost. The constraints of the cold and heat energy scheduling model mainly include cold and heat energy equipment operation constraints and cold and hot bus power balance constraints.

[0047] For example, the objective function of the cooling and heating energy scheduling model can be:

[0048]

[0049] in, They are the incremental operating costs of gas turbines, gas boilers, electric boilers, electric chillers, and absorption chillers, respectively, and their calculation methods are consistent with day-ahead dispatch; The incremental revenue from electricity generation from gas turbines; and They are the incremental electricity consumption costs of electric boilers and electric refrigerators during the daily period, and are calculated as follows:

[0050]

[0051] in, is the average price of electricity purchased, The power increment of the gas turbine; and The increase in power consumption of electric boilers and electric refrigerators.

[0052] The constraints for building the cooling and heating energy scheduling model can include the following steps:

[0053] The operation constraints of the cold and heat energy equipment must be met, that is, after the power is adjusted, the output of each device, that is, the output power, cannot exceed the upper and lower limits of the output, so it should meet the following requirements:

[0054]

[0055] in, They are the day-ahead dispatching planned outputs of gas turbines, gas boilers, electric boilers, electric refrigerators, and absorption refrigerators; The output of each device should also meet the up and down ramp rates, so it should meet:

[0056]

[0057] To meet the power balance of the thermal bus, that is, to maintain the balance between the power flowing into and out of the thermal bus, the following conditions should be met:

[0058]

[0059] in, is the heat production power increment of the gas turbine; is the heat consumption power increment of the absorption refrigerator; The power increment required for heat load in short-term forecast and day-ahead forecast.

[0060] To meet the power balance of the cooling bus, that is, to maintain the balance between the power flowing into and out of the cooling bus, the following conditions should be met:

[0061]

[0062] in, The power increment required for cooling load in short-term forecast and day-ahead forecast.

[0063] As an optional embodiment, before the predicted output power correction value of cold and heat energy and the predicted output power of the electric energy equipment within a second preset time period from the current moment are input into the electric energy scheduling model based on the start instruction, it includes: determining the electric energy scheduling model based on a second preset relationship and a second constraint condition, wherein the second preset relationship is used to calculate the minimum total cost of the operation of the electric energy equipment, and the second constraint condition includes a constraint on the operating power of the electric energy equipment, a constraint on the power inflow and outflow of the power bus, and a constraint on the power of the power interconnection line.

[0064] Optionally, the objective function of the power dispatch model mainly considers the total cost of power equipment dispatch, including: system power purchase cost; distributed power supply operation cost; fuel cell cost. The constraints of the lower-level power dispatch model described in the present invention mainly include power connection line constraints between the power grid and the system; distributed power supply output constraints; fuel cell output constraints; power bus power balance constraints.

[0065] For example, the objective function of the power dispatch model can be:

[0066]

[0067] in, The incremental cost of purchasing electricity for the system. The incremental operating cost of distributed power generation is is the incremental cost of fuel cells, The calculation is consistent with that of day-ahead scheduling.

[0068] The constraints of the power dispatch model can be constructed by the following steps:

[0069] The power tie line constraints between the power grid and the system must be met. After the power purchase and sales of the system change, it still cannot exceed the maximum power allowable value of the tie line between the power grid and the system, and the tie line cannot be in the power purchase and sales state at the same time during the same period, that is, it must meet the following requirements:

[0070]

[0071] in, and are the increments of purchased and sold electricity power respectively; and They are the transaction status of purchasing and selling electricity respectively.

[0072] Meet the output constraints of distributed power sources. After power adjustment, the output of wind turbines and photovoltaic units, that is, the output power, should not exceed the maximum output allowed in each period, so it should meet the following requirements:

[0073]

[0074] in, and They are the day-ahead dispatch plan outputs of wind turbines and photovoltaics respectively; and are the output increments of wind turbines and photovoltaics respectively; and They are the daily dispatch forecast values ​​of wind turbines and photovoltaics respectively.

[0075] Meet the fuel cell output constraints. After power adjustment, the fuel cell output cannot exceed the upper and lower limits of the output, and should meet the maximum up and down ramp rates, and should meet:

[0076]

[0077] in, Contribute to the day-ahead dispatch plan for fuel cells; Increase the output of fuel cells; It is the start and stop state of the fuel cell; △t2=15min.

[0078] Satisfy the power bus power balance constraint. According to the power bus inflow and outflow power balance, it should satisfy:

[0079]

[0080] in, It is the difference between the short-term forecast of electric load and the day-ahead forecast in the jth period.

[0081] As an optional embodiment, the moment after the current moment has passed the second preset time period is determined as the first moment; at the first moment, the predicted output power correction value of cold and heat energy and the predicted output power of the electric energy equipment from the first moment to the second preset time period are input into the electric energy scheduling model to determine the second electric energy predicted output power correction value of the electric energy equipment from the first moment to the second preset time period; based on the second electric energy predicted output power correction value, the output power of the electric energy equipment from the first moment to the second preset time period is adjusted; and the above steps are repeated until the first preset time period has passed from the current moment.

[0082] Optionally, since the response rate of the cold and heat energy equipment is slow, while the response rate of the electric energy equipment is fast, if a single time interval is used as the preset duration of the scheduling, the coordinated operation between the cold and heat energy system and the electric energy system cannot be fully considered during the scheduling process, affecting the scheduling effect and the overall performance of the system. Therefore, different time intervals can be set as the preset duration of the scheduling. For the cold and heat energy scheduling model, the operation time interval is the first preset duration, which can be 1 hour. For the electric energy scheduling model, the operation time interval is the second preset duration, which can be 15 minutes. Therefore, the time window of the electric energy scheduling is short. After multiple time windows are dynamically rolled and optimized, when the time window of the electric energy scheduling overlaps with the end time of the time window of the cold and heat energy scheduling, the rolling optimization is stopped. Among them, the overlap means that the electric energy scheduling time is 15 minutes, the cold and heat energy scheduling time is 1 hour, and the time for the electric energy scheduling model to complete 4 15-minute rolling scheduling is consistent with the time for the cold and heat energy scheduling model to complete 1 hour scheduling.

[0083] As an optional embodiment, in the case where a first preset time has passed from the current moment, the method includes: determining the moment after the first preset time has passed from the current moment as the second moment; generating a rolling instruction; based on the rolling instruction, starting from the second moment, repeating the above steps within the previous first preset time, and adjusting the output power of the cold and heat energy equipment from the second moment after the first preset time and the output power of the electric energy equipment from the second moment after the second preset time.

[0084] Optionally, when the time window for electric energy scheduling overlaps with the end time of the time window for cold and hot energy scheduling, the rolling optimization is stopped, and a rolling instruction is sent to the cold and hot energy scheduling model to enter the next time window of the cold and hot energy scheduling model, i.e., repeated scheduling and execution within 1 hour, thereby realizing dynamic rolling scheduling of equipment in each subsystem in the energy system. Figure 4 is a time domain control strategy diagram for intraday scheduling of an integrated energy system based on model predictive control according to an optional embodiment of the present invention, such as Figure 4 As shown in the figure, for the upper-level cold and heat energy scheduling model, the time interval is 1h. The system scheduling plan in the prediction domain and the control domain is obtained within the time interval. The scheduling plan of the control domain is executed according to the optimization result, and it is sent to the lower-level electric energy scheduling model, waiting for its scheduling end instruction; the prediction domain and the control domain are rolling optimized to the next time interval, and the above process is repeated. For the lower-level electric energy scheduling model, the time interval is 15min, waiting for the control domain scheduling plan instruction of the upper-level model, and determining the optimization scheduling strategy of the electric system at this level based on it. The lower-level scheduling time window is short. After dynamic rolling optimization of multiple time windows, when the lower-level scheduling time window overlaps with the end time of the upper-level time window, the rolling optimization is stopped, and the scheduling end instruction is sent to the upper layer, and the next time window of the upper layer is entered to repeat scheduling and execution. Among them, the control domain and prediction domain time scales of the upper-level cold and heat energy scheduling model are 1 hour; the control domain and prediction domain time scales of the lower-level electric energy scheduling model are 15min; prediction is to predict the load information of the next period, and control is to solve the optimization model based on the predicted load information, which can be understood as tracking control.

[0085] As an optional embodiment, the present invention provides a daily double-layer dynamic rolling planning model for an integrated energy system based on model predictive control. Figure 5 : is a two-layer scheduling strategy diagram for a comprehensive energy system based on model predictive control according to an optional embodiment of the present invention. Figure 5As shown, the forecast objects of day-ahead dispatch can include photovoltaic, wind farms and loads, and the day-ahead dispatch plan can include energy storage dispatch, flexible load, planned output of thermal energy equipment, and planned output of cooling energy equipment. The upper-level dispatch model is designed to handle the fluctuations of cooling and heating power with a slower response rate. The forecast object is the hot and cold load. The variables can be GT output, GB output, EB output, AC output and EC output. The constraints used are related to equipment operation and bus power balance. The lower-level dispatch model is used to control the fluctuations of electric power with a faster response rate. The forecast object is distributed power sources. The variables can be power purchase and sale, DG output and FC output. The constraints used are related to DG operation, FC operation and bus power balance.

[0086] The process is based on the day-ahead scheduling plan. The fast and slow layers adopt different scheduling time interval lengths, and establish the instruction cycle time interval decision index in the slow layer. Through the rolling update of the distributed power output and the ultra-short-term prediction information of the load power, the day-ahead plan value is corrected in an incremental balance manner, and the output of the controllable components in the system is adjusted to achieve dynamic correction of the slow layer instruction cycle time. Compared with the related art, the present invention can have many advantages. For example, the decision index of the dynamic time interval can determine whether the system needs to issue an adjustment instruction according to the system state: when the system deviation is large, it can help real-time scheduling; when the system deviation is small, it can reduce unnecessary scheduling. For another example, the order of optimizing cold and hot gas energy at the upper scale and optimizing electric energy at the lower scale is adopted to realize the hierarchical management of energy, solving the problem of time scale selection of multi-modal heterogeneous systems. In addition, the energy difference characteristics can be maximized. The upper layer uses 1h as the scheduling time base and adds a dynamic time interval. The lower layer uses 15min as the scheduling time interval to meet the requirements of electrical real-time energy balance, which can take into account the optimization of supply and demand balance and equipment adjustment times at the same time.

[0087] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence, because according to the present invention, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0088] Through the description of the above implementation methods, those skilled in the art can clearly understand that the scheduling method of energy equipment according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0089] According to an embodiment of the present invention, there is also provided a scheduling device for energy equipment for implementing the above-mentioned scheduling method for energy equipment. Figure 6 is a structural block diagram of a scheduling device for energy equipment provided according to an embodiment of the present invention, such as Figure 6 As shown, the scheduling device of the energy equipment includes: an acquisition module 61, a first determination module 62, a first adjustment module 63, a second determination module 64 and a second adjustment module 65. The scheduling device of the energy equipment is described below.

[0090] The acquisition module 61 is used to obtain the predicted output power corresponding to the cold and heat energy equipment and the electric energy equipment in the target energy system on the same day.

[0091] The first determination module 62 is connected to the acquisition module 61, and is used to input the predicted output power of the cold and heat energy equipment within a first preset time period from the current moment into the cold and heat energy scheduling model, and determine the correction value of the cold and heat energy predicted output power of the cold and heat energy equipment within the first preset time period from the current moment.

[0092] The first adjustment module 63 is connected to the first determination module 62, and is used to adjust the output power of the cold and heat energy equipment in the first preset time period starting from the current moment based on the cold and heat energy predicted output power correction value, and generate a start instruction.

[0093] The second determination module 64 is connected to the first adjustment module 63, and is used to input the cold and heat energy predicted output power correction value and the predicted output power of the electric energy equipment within a second preset time period from the current moment into the electric energy scheduling model based on the start instruction, and determine the first electric energy predicted output power correction value of the electric energy equipment within the second preset time period from the current moment, wherein the first preset time period is greater than the second preset time period.

[0094] The second adjustment module 65 is connected to the second determination module 64, and is used to adjust the output power of the electric energy equipment within a second preset time period starting from the current moment based on the first electric energy predicted output power correction value.

[0095] It should be noted that the acquisition module 61, the first determination module 62, the first adjustment module 63, the second determination module 64 and the second adjustment module 65 correspond to steps S201 to S205 in the embodiment, and the examples and application scenarios implemented by the multiple modules and the corresponding steps are the same, but are not limited to the contents disclosed in the above embodiment. It should be noted that the above modules, as part of the device, can be run in the computer terminal 10 provided in the embodiment.

[0096] An embodiment of the present invention may provide a computer device. Optionally, in this embodiment, the computer device may be located in at least one network device among multiple network devices of a computer network. The computer device includes a memory and a processor.

[0097] Among them, the memory can be used to store software programs and modules, such as the program instructions / modules corresponding to the scheduling method and device of the energy equipment in the embodiment of the present invention. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, that is, realizing the scheduling method of the above-mentioned energy equipment. The memory may include a high-speed random access memory, and may also include a 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 may further include a memory remotely arranged relative to the processor, and these remote memories may be connected to the computer terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0098] The processor can call the information and application programs stored in the memory through the transmission device to perform the following steps: obtain the predicted output power corresponding to the cold and heat energy equipment and the electric energy equipment in the target energy system on the same day; input the predicted output power of the cold and heat energy equipment within the first preset time period from the current moment into the cold and heat energy scheduling model, and determine the cold and heat energy predicted output power correction value of the cold and heat energy equipment within the first preset time period from the current moment; based on the cold and heat energy predicted output power correction value, adjust the output power of the cold and heat energy equipment in the first preset time period from the current moment, and generate a start instruction; based on the start instruction, input the cold and heat energy predicted output power correction value and the predicted output power of the electric energy equipment within the second preset time period from the current moment into the electric energy scheduling model, determine the first electric energy predicted output power correction value of the electric energy equipment within the second preset time period from the current moment, wherein the first preset time period is greater than the second preset time period; based on the first electric energy predicted output power correction value, adjust the output power of the electric energy equipment within the second preset time period from the current moment.

[0099] Optionally, the processor may also execute the program code of the following steps: obtaining the predicted output power of the cold and heat energy equipment and the electric energy equipment in the target energy system on the day, including: determining the predicted output power of the cold and heat energy equipment and the electric energy equipment on the day based on the output power of the cold and heat energy equipment and the electric energy equipment on the previous day.

[0100] Optionally, the processor may also execute program code for the following steps: before inputting the predicted output power of the cold and heat energy equipment within a first preset time period starting from the current moment into the cold and heat energy scheduling model, including: determining the cold and heat energy scheduling model based on a first preset relationship and a first constraint, wherein the first preset relationship is used to calculate the minimum total cost of the operation of the cold and heat energy equipment, and the first constraint includes a constraint on the operating power of the cold and heat energy equipment and a constraint on the inflow and outflow power of the cold and heat bus.

[0101] Optionally, the processor may also execute program code for the following steps: before inputting the predicted output power correction value of cold and heat energy and the predicted output power of the electric energy equipment within a second preset time period from the current moment into the electric energy scheduling model based on a start instruction, including: determining the electric energy scheduling model based on a second preset relationship and a second constraint, wherein the second preset relationship is used to calculate the minimum total cost of the operation of the electric energy equipment, and the second constraint includes constraints on the operating power of the electric energy equipment, constraints on the power inflow and outflow of the power bus, and constraints on the power of the power interconnection line.

[0102] Optionally, the processor may also execute the program code of the following steps: determining the moment after the current moment has passed the second preset time as the first moment; at the first moment, inputting the predicted output power correction value of cold and heat energy and the predicted output power of the electric energy equipment from the first moment to the second preset time into the electric energy scheduling model, and determining the second predicted output power correction value of electric energy from the first moment to the second preset time; adjusting the output power of the electric energy equipment from the first moment to the second preset time based on the second predicted output power correction value; repeating the above steps until the first preset time has passed from the current moment.

[0103] Optionally, the processor may also execute program code for the following steps: when a first preset time has passed from the current moment, the steps include: determining the moment after the first preset time has passed from the current moment as the second moment; generating a scrolling instruction; based on the scrolling instruction, starting from the second moment, repeating the above steps within the previous first preset time, and adjusting the output power of the cold and heat energy equipment from the second moment after the first preset time and the output power of the electric energy equipment from the second moment after the second preset time.

[0104] By adopting an embodiment of the present invention, a scheduling method for energy equipment is provided, which obtains the predicted output power corresponding to the cold and heat energy equipment and the electric energy equipment in the target energy system on the same day; inputs the predicted output power of the cold and heat energy equipment within a first preset time period from the current moment into the cold and heat energy scheduling model, and determines the correction value of the cold and heat energy predicted output power of the cold and heat energy equipment within the first preset time period from the current moment; based on the correction value of the cold and heat energy predicted output power, adjusts the output power of the cold and heat energy equipment in the first preset time period from the current moment, and generates a start instruction; based on the start instruction, inputs the correction value of the cold and heat energy predicted output power and the predicted output power of the electric energy equipment within a second preset time period from the current moment into the electric energy scheduling model, and determines the first electric energy predicted output power correction value of the electric energy equipment within the second preset time period from the current moment, wherein the first preset time period is greater than the second preset time period; based on the first electric energy predicted output power correction value, adjusts the output power of the electric energy equipment within the second preset time period from the current moment. The purpose of dividing the intraday scheduling model into two layers, adopting scheduling time intervals of different lengths, dynamically adjusting the time intervals, and rollingly revising the day-ahead plan was achieved, thereby achieving the technical effect of improving the flexibility and adaptability of the integrated energy system scheduling, and further solving the technical problem of low scheduling flexibility and adaptability caused by using a single time scale and fixed time interval to schedule different energy equipment.

[0105] A person of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing the hardware related to the terminal device through a program, and the program can be stored in a non-volatile storage medium, and the storage medium may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0106] The embodiment of the present invention further provides a non-volatile storage medium. Optionally, in this embodiment, the non-volatile storage medium can be used to store the program code executed by the scheduling method of the energy device provided in the above embodiment.

[0107] Optionally, in this embodiment, the non-volatile storage medium may be located in any computer terminal in a computer terminal group in a computer network, or in any mobile terminal in a mobile terminal group.

[0108] Optionally, in this embodiment, the non-volatile storage medium is configured to store program codes for executing the following steps: obtaining the predicted output power corresponding to the cold and heat energy equipment and the electric energy equipment in the target energy system on the same day; inputting the predicted output power of the cold and heat energy equipment within a first preset time period from the current moment into the cold and heat energy scheduling model, and determining the cold and heat energy predicted output power correction value of the cold and heat energy equipment within the first preset time period from the current moment; based on the cold and heat energy predicted output power correction value, adjusting the output power of the cold and heat energy equipment in the first preset time period from the current moment, and generating a start instruction; based on the start instruction, inputting the cold and heat energy predicted output power correction value and the predicted output power of the electric energy equipment within a second preset time period from the current moment into the electric energy scheduling model, and determining the first electric energy predicted output power correction value of the electric energy equipment within the second preset time period from the current moment, wherein the first preset time period is greater than the second preset time period; based on the first electric energy predicted output power correction value, adjusting the output power of the electric energy equipment within the second preset time period from the current moment.

[0109] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for executing the following steps: obtaining the predicted output power corresponding to each of the cold and heat energy equipment and the electric energy equipment in the target energy system on the day, including: determining the predicted output power corresponding to each of the cold and heat energy equipment and the electric energy equipment on the day based on the output power of the cold and heat energy equipment and the electric energy equipment on the previous day.

[0110] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for executing the following steps: before inputting the predicted output power of the cold and thermal energy equipment within a first preset time period starting from the current moment into the cold and thermal energy scheduling model, including: determining the cold and thermal energy scheduling model based on a first preset relationship and a first constraint, wherein the first preset relationship is used to calculate the minimum total cost of the operation of the cold and thermal energy equipment, and the first constraint includes a constraint on the operating power of the cold and thermal energy equipment and a constraint on the inflow and outflow power of the cold and thermal bus.

[0111] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for executing the following steps: before inputting the predicted output power correction value of cold and heat energy and the predicted output power of the electric energy equipment within a second preset time period from the current moment into the electric energy scheduling model based on a start instruction, including: determining the electric energy scheduling model based on a second preset relationship and a second constraint, wherein the second preset relationship is used to calculate the minimum total cost of the operation of the electric energy equipment, and the second constraint includes a constraint on the operating power of the electric energy equipment, a constraint on the power inflow and outflow of the power bus, and a constraint on the power of the power interconnection line.

[0112] Optionally, in this embodiment, the non-volatile storage medium is configured to store program codes for executing the following steps: determining the moment after the current moment has passed the second preset time as the first moment; at the first moment, inputting the predicted output power correction value of cold and hot energy and the predicted output power of the electric energy equipment from the first moment to the second preset time into the electric energy scheduling model, and determining the second electric energy predicted output power correction value of the electric energy equipment from the first moment to the second preset time; based on the second electric energy predicted output power correction value, adjusting the output power of the electric energy equipment from the first moment to the second preset time; repeating the above steps until stopping when the first preset time has passed from the current moment.

[0113] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for executing the following steps: in the case where a first preset time has passed from the current moment, including: determining the moment when the current moment has passed the first preset time as the second moment; generating a rolling instruction; based on the rolling instruction, starting from the second moment, repeating the above steps within the previous first preset time, and adjusting the output power of the cold and heat energy equipment from the second moment after the first preset time and the output power of the electric energy equipment from the second moment after the second preset time.

[0114] An embodiment of the present invention further provides a computer program product, including a computer program. Optionally, in this embodiment, when the computer program is executed by a processor, it can achieve: obtaining the predicted output power corresponding to each of the cold and heat energy equipment and the electric energy equipment in the target energy system within the day; inputting the predicted output power of the cold and heat energy equipment within a first preset time period from the current moment into the cold and heat energy scheduling model, and determining the cold and heat energy predicted output power correction value of the cold and heat energy equipment within the first preset time period from the current moment; based on the cold and heat energy predicted output power correction value, adjusting the output power of the cold and heat energy equipment in the first preset time period from the current moment, and generating a start instruction; based on the start instruction, inputting the cold and heat energy predicted output power correction value and the predicted output power of the electric energy equipment within a second preset time period from the current moment into the electric energy scheduling model, determining the first electric energy predicted output power correction value of the electric energy equipment within the second preset time period from the current moment, wherein the first preset time period is greater than the second preset time period; based on the first electric energy predicted output power correction value, adjusting the output power of the electric energy equipment within the second preset time period from the current moment.

[0115] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0116] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0117] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0118] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0119] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0120] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a non-volatile storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0121] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for dispatching energy equipment, characterized in that: include: Obtain the predicted output power of the cold and heat energy equipment and electric energy equipment in the target energy system on the same day; Inputting the predicted output power of the cold and heat energy equipment within a first preset time period from the current moment into the cold and heat energy scheduling model, and determining a correction value of the cold and heat energy predicted output power of the cold and heat energy equipment within the first preset time period from the current moment; Based on the cold and heat energy predicted output power correction value, adjusting the output power of the cold and heat energy device in the first preset time period starting from the current moment, and generating a start instruction; Based on the start instruction, the predicted output power correction value of the cold and hot energy and the predicted output power of the electric energy equipment from the current moment to the second preset time length are input into the electric energy scheduling model to determine the first predicted output power correction value of the electric energy equipment from the current moment to the second preset time length, wherein the first preset time length is greater than the second preset time length; Based on the first electric energy predicted output power correction value, the output power of the electric energy equipment within the second preset time period starting from the current moment is adjusted.

2. The method according to claim 1, characterized in that The obtaining of the predicted output power of the cold and heat energy equipment and the electric energy equipment in the target energy system respectively on the day includes: Based on the output powers of the cold and heat energy equipment and the electric energy equipment on the previous day, the predicted output powers of the cold and heat energy equipment and the electric energy equipment corresponding to each other on the current day are determined.

3. The method according to claim 1, characterized in that: Before inputting the predicted output power of the cold and heat energy equipment within a first preset time period from the current moment into the cold and heat energy scheduling model, it includes: The cold and heat energy scheduling model is determined based on a first preset relationship and a first constraint, wherein the first preset relationship is used to calculate the minimum total cost of the operation of the cold and heat energy equipment, and the first constraint includes constraints on the operating power of the cold and heat energy equipment and constraints on the inflow and outflow power of the cold and heat bus.

4. The method according to claim 1, characterized in that Before inputting the cold and heat energy predicted output power correction value and the predicted output power of the electric energy equipment within a second preset time period from the current moment into the electric energy scheduling model based on the start instruction, the method includes: The electric energy dispatching model is determined based on a second preset relationship and a second constraint, wherein the second preset relationship is used to calculate the minimum total cost of the operation of the electric energy equipment, and the second constraint includes constraints on the operating power of the electric energy equipment, constraints on the power inflow and outflow of the power bus, and constraints on the power of the power interconnection line.

5. The method according to any one of claims 1 to 4, characterized in that: Also includes: Determine the moment when the current moment passes through the second preset time length as the first moment; At the first moment, the predicted output power correction value of the cold and hot energy and the predicted output power of the electric energy equipment from the first moment through the second preset time length are input into the electric energy scheduling model to determine a second predicted output power correction value of the electric energy equipment from the first moment through the second preset time length; Based on the second electric energy predicted output power correction value, adjusting the output power of the electric energy device from the first moment to the second preset time period; Repeat the above steps until the first preset time has passed since the current moment.

6. The method according to claim 5, characterized in that In the case where the first preset time has passed since the current moment, the method includes: Determine the moment when the current moment passes through the first preset time length as the second moment; Generate scrolling instructions; Based on the scrolling instruction, starting from the second moment, the above steps within the previous first preset time period are repeated to adjust the output power of the cold and heat energy equipment from the second moment to the first preset time period and the output power of the electric energy equipment from the second moment to the second preset time period.

7. A dispatching device for energy equipment, characterized in that: include: An acquisition module is used to obtain the predicted output power of the cold and heat energy equipment and the electric energy equipment in the target energy system on the same day; A first determination module is used to input the predicted output power of the cold and heat energy device from the current moment to the first preset time length into the cold and heat energy scheduling model, and determine the cold and heat energy predicted output power correction value of the cold and heat energy device from the current moment to the first preset time length; A first adjustment module, configured to adjust the output power of the cold and heat energy device in the first preset time period starting from the current moment based on the cold and heat energy predicted output power correction value, and generate a start instruction; A second determination module is used to input the cold and heat energy predicted output power correction value and the predicted output power of the electric energy equipment from the current moment to the electric energy scheduling model based on the start instruction, and determine the first electric energy predicted output power correction value of the electric energy equipment from the current moment to the second preset time length, wherein the first preset time length is greater than the second preset time length; The second adjustment module is used to adjust the output power of the electric energy device within the second preset time period starting from the current moment based on the first electric energy predicted output power correction value.

8. A non-volatile storage medium, characterized in that: The non-volatile storage medium includes a stored program, wherein when the program is executed, the device where the non-volatile storage medium is located is controlled to execute the scheduling method for energy equipment according to any one of claims 1 to 6.

9. A computer device, characterized in that: include: Memory and processor, The memory stores a computer program; The processor is used to execute the computer program stored in the memory, and when the computer program is running, the processor executes the scheduling method of energy equipment described in any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the scheduling method of the energy equipment described in any one of claims 1 to 6 is implemented.

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