Source-network-load-storage integrated system scheduling method considering flexibility, equipment and medium

Abstract

The invention discloses a source-network-load-storage integrated system scheduling method considering flexibility, and the method comprises the following steps: S01, building a master-slave game double-layer structure model which is a source-network-load-storage integrated project, building a game leader optimization model based on source-load production time sequence matching in order to achieve the optimal economical efficiency, and building a game leader optimization model based on source-load production time sequence matching; the lower-layer model is an external power grid, comprises three parts of power regulation cost, plan regulation cost and power carbon cost, and is a game follower optimization model; s02, solving an equilibrium solution, namely an economic benefit equilibrium point, of the double-layer structure model by adopting a double-layer nesting mode; and S03, adjusting the scheduling of the source network load storage according to the equilibrium solution to achieve the best benefit, the method reveals the real supply and demand relationship between the integrated project and the external power grid in different time periods and different operation states, improves the flexibility of the integrated project, reduces the degree of dependence of the integrated project on the external power grid, and realizes the stable operation of the external power grid.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network system dispatching, and in particular to a source-grid-load-storage integrated system dispatching method taking flexibility into account. Background Art

[0002] Source-grid-load-storage integration refers to the formation of a coordinated system of power sources, power grids, loads and energy storage in the power system, aiming to apply more renewable energy electricity, while improving the flexibility and reliability of the power system, achieving efficient use of energy and optimizing the balance between energy supply and demand.

[0003] Source refers to power source: including thermal power, hydropower, nuclear power, wind power, photovoltaic, biomass power generation, etc.

[0004] The grid refers to the power grid: the power grid is a power supply network composed of substations, distribution stations, power lines (including cables) and other power supply facilities.

[0005] Load refers to the total power consumed by electrical equipment. The product of load and power consumption time is what we usually call "power consumption".

[0006] Storage refers to energy storage: energy storage is to store electricity when it is surplus and release it when needed, similar to a large "power bank" that ensures the stability and balance of the power grid.

[0007] In the past, the power grid system regulation mainly adopted the "source follows load" mode. When the electricity load suddenly increases, once the power generation capacity on the power supply side is insufficient, an imbalance between supply and demand will occur, which will seriously affect the safe operation of the power grid.

[0008] The development of the power grid of the new power system will form a pattern in which large power grids dominate and various power grid forms coexist. In the future, multi-level microgrids will be formed in areas of different sizes, such as households, communities, and industrial parks, to solve the problem of large-scale access and plug-and-play of new energy and new loads. The one-way process of "generation-transmission-transformation-distribution-use" of the traditional power system will be transformed into an integrated circulation process of "source-grid-load-storage", thereby increasing the proportion of new energy power generation and consumption.

[0009] However, with the large-scale grid connection of new energy, mainly wind power, the uncertainty and anti-peak characteristics faced by the power system are constantly increasing, and the power balance of the system is facing huge challenges. Sufficient flexibility and regulation capabilities have become a necessary condition for the safe and economical operation of the new power system. Sufficient flexibility and regulation capabilities mean that the power system can cope with the volatility and uncertainty of source-load at a reasonable economic cost and absorb large-scale new energy economically and efficiently. Therefore, how to ensure that the system has sufficient flexibility and regulation capabilities to cope with the dual impact of the continued growth of new energy and the original load is an important research content in the practical application of the "source-grid-load-storage" integration project.

[0010] The power source of the source-grid-load-storage integration project is new energy. It relies on energy storage to smooth out the fluctuation of new energy output and achieve daily power balance. Without considering the backup power supply of the external power grid, the controllability of the internal new energy output of the source-grid-load-storage integration is weak, and the load needs to fluctuate with the fluctuation of the internal new energy output of the source-grid-load-storage integration project. However, excessive reliance on the external power grid will make the backup capacity of the external power grid too large or the electricity price too high, which will reduce the overall economic benefits of the source-grid-load-storage integration project. When the source-grid-load-storage integration project is constructed, energy storage is generally configured at a fixed ratio, resulting in the inability of storage to fully play a role, and relying on the external power grid to supply power to the integrated project and provide backup. When the integrated project cannot meet the internal self-balance, it needs to accept the dispatch of the external power grid to supply power to the integrated project; or the integrated project supplies power to the external power grid. When accepting the dispatch of the power grid, the integrated project needs to play a game with the external power grid, and in the process of the game, it needs to find an optimal balance point of economic benefits. Summary of the invention

[0011] In order to overcome the above problems, the purpose of the present invention is to provide a scheduling method for an integrated source-grid-load-storage system taking flexibility into account. The scheduling method constructs a game relationship between the integrated source-grid-load-storage project and the external power grid, reveals the real supply and demand relationship between the integrated project and the external power grid under different time periods and different operating conditions, and realizes the flexibility supply and demand equilibrium between the integrated project and the external power grid based on the game equilibrium principle, thereby improving the flexibility of the integrated project, reducing the dependence of the integrated project on the external power grid, achieving the optimal economic benefit of the integrated project and the balance of supply and demand between the integrated project and the external power grid, thereby achieving stable operation of the external power grid.

[0012] The technical solution adopted by the present invention is: a source-grid-load-storage integrated system scheduling method taking flexibility into account, comprising the following steps:

[0013] S01: Establish a two-layer structure model of master-slave game,

[0014] The upper model is a game leader optimization model established for the source-grid-load-storage integrated project based on the source-load production timing matching, with the purpose of achieving the optimal internal economic performance of the source-grid-load-storage integrated project.

[0015] The lower model is the external power grid, which includes three parts: power regulation cost, plan adjustment cost, and power carbon cost. It is a game follower optimization model.

[0016] S02: Use a double-layer nesting method to solve the equilibrium solution of the double-layer structure model, that is, the economic benefit balance point;

[0017] S03: Adjust the dispatch of source, grid, load and storage according to the equilibrium solution to achieve the best benefit.

[0018] As a further description of the present invention, in step S01:

[0019] The game leader optimization model adjusts demand and power demand according to its own flexibility to incentivize price signals to guide the behavior of followers;

[0020] The game follower optimization model determines the optimal flexibility regulation demand and power according to the flexibility value transmitted by the incentive price and the regulation capability of the power grid itself.

[0021] As a further description of the present invention, the steps for establishing the game leader optimization model in step S01 are:

[0022] S011: Define the internal new energy volatility index of the source-grid-load-storage integrated project.

[0023] The time series of the change rate of new energy and load is used to replace the output time series of new energy and load to achieve the coupling of new energy output and load change. The internal new energy volatility index of the source-grid-load-storage integration project is:

[0024]

[0025] in,

[0026] R N (t) is the change rate of the internal renewable energy output of the source-grid-load-storage integration project at time t,

[0027] P N (t) is the power of the new energy output of the source-grid-load-storage integration project at time t,

[0028] R d ( t ) is the change rate of the internal load output of the source-grid-load-storage integration project at time t,

[0029] P d (t) is the power of the internal load output of the source-grid-load-storage integration project at time t,

[0030] r(P N ,P d ) is the Euclidean distance between the new energy output change rate sequence and the load output change rate sequence;

[0031] S012: Quantify the internal flexibility adjustment needs of renewable energy in integrated power generation, grid-load and storage projects.

[0032] After formulating the planned output of new energy on the day before according to the predicted output, the ideal output scenario of new energy that meets the volatility index is constructed by performing power equivalence on the planned output curve of new energy on the day before, with the goal of minimizing the flexible adjustment of power. The difference between the ideal output curve of new energy and the planned output curve of new energy on the day before is calculated to quantify the demand for flexible adjustment of new energy.

[0033] The construction model of the ideal output scenario of new energy that meets the volatility index is:

[0034]

[0035] in,

[0036] P N,equal To meet the ideal output sequence of new energy sources with volatility indicators,

[0037] Contribute to the day-ahead new energy plan formulated internally for the integration of source, grid, load and storage at time t,

[0038] The ideal output of new energy that meets the volatility index at time t,

[0039] To adjust the power supply in the integrated source-grid-load-storage system at time t.

[0040] R is the new energy volatility assessment index set by the external power grid;

[0041] S013: Establish a revenue model within the source-grid-load-storage integration project.

[0042] The upper optimization model is established based on the optimal internal power operation cost of the source-grid-load-storage integrated project:

[0043] maxF N =f N,in +f S,in -f l,in -f N,m -f N,ab -f N,flex

[0044]

[0045] in,

[0046] F N The maximum economic benefit of the internal power operation cost of the source-grid-load-storage integration project.

[0047] f N,in The electricity revenue of new energy within the source-grid-load-storage integration project,

[0048] fS,in The electricity revenue of the internal energy storage of the source-grid-load-storage integration project,

[0049] f l,in The electricity revenue of the internal load of the source-grid-load-storage integration project,

[0050] f N,m The maintenance cost of new energy and energy storage within the integrated source-grid-load-storage project.

[0051] f N,ab The cost of power abandonment of new energy within the integrated power-grid-load-storage project.

[0052] f N,flex The flexibility cost required outside the integrated power grid and load storage project.

[0053] r t is the market electricity price at time t,

[0054] is the energy storage power at time t inside the source-grid-load-storage integration project,

[0055] is the load power at time t inside the source-grid-load-storage integration project,

[0056] is the load flexibility response power at time t within the source-grid-load-storage integration project,

[0057] λ N,m The comprehensive operation and maintenance cost coefficient of new energy and energy storage within the source-grid-load-storage integrated project.

[0058] The total power of new energy and energy storage within the source-grid-load-storage integration project.

[0059] λ N，ab The cost of power abandonment of new energy within the integrated power-grid-load-storage project.

[0060] To help predict the new energy output at time t within the source-grid-load-storage integration project,

[0061] To flexibly adjust the electricity price of the external power grid of the source-grid-load-storage integrated project at time t,

[0062] To flexibly adjust the power of the external power grid of the source-grid-load-storage integration project at moment t.

[0063] As a further description of the present invention, the external power grid dispatch objective function, that is, the game follower optimization model is:

[0064]

[0065] in,

[0066] The electricity price cost of the external grid flexibility adjustment required by the source-grid-load-storage integration project,

[0067] The output plan adjustment cost of the external grid flexibility regulation required by the source-grid-load-storage integration project is represented by

[0068] Represents the carbon cost of external grid flexibility regulation required for the integrated source-grid-load-storage project.

[0069] As a further description of the present invention, the constraints of the game leader optimization model include new energy output constraints, flexibility adjustment direction state variable constraints, and flexibility adjustment incentive price constraints.

[0070] As a further description of the present invention, the new energy output constraint is:

[0071]

[0072] As a further description of the present invention, the flexibility adjustment direction state variable constraint is:

[0073]

[0074] As a further description of the present invention, the flexibility adjustment incentive price constraint is:

[0075]

[0076] in, is the state variable of the flexibility adjustment demand direction within the source-grid-load-storage integration at time t,

[0077] It means that the integrated source-grid-load-storage system needs to provide the external grid with flexibility to adjust the amount of electricity.

[0078] It means that the integrated source-grid-load-storage system needs to input electricity from the external power grid for flexibility adjustment.

[0079] As a further description of the present invention, the constraint condition of the external power grid dispatch objective function is:

[0080]

[0081] C C,flex represents the flexibility adjustment cost of external power grid thermal power in the source-grid-load-storage integrated project,

[0082] CS,flex represents the flexibility adjustment cost of external grid energy storage in the source-grid-load-storage integrated project,

[0083] C el,flex It represents the regulation cost of other power sources in the external power grid of the source-grid-load-storage integration project.

[0084] It represents the planned adjusted output of the external power grid power supply of the source-grid-load-storage integration project at time t,

[0085] r t,out represents the output plan adjustment price of the external grid power supply of the source-grid-load-storage integration project at time t,

[0086] represents the carbon emissions of the external power grid power supply of the source-grid-load-storage integration project at time t,

[0087] κ t represents the carbon price of the external grid power supply of the source-grid-load-storage integration project at time t,

[0088] in,

[0089]

[0090] C om represents the start-up and shutdown cost of thermal power in the external power grid of the source-grid-load-storage integrated project,

[0091] C DR represents the dispatching cost of thermal power in the external power grid of the source-grid-load-storage integrated project,

[0092] C s,out It represents the cost of flexible discharge of external grid energy storage in the source-grid-load-storage integrated project,

[0093] C s,in It represents the cost of charging the external grid energy storage flexibility of the source-grid-load-storage integrated project,

[0094] η represents the conversion efficiency of external grid energy storage in the source-grid-load-storage integrated project,

[0095] It represents the comprehensive output of other power sources in the external power grid of the source-grid-load-storage integration project.

[0096] It represents the comprehensive output coefficient of other power sources in the external power grid of the source-grid-load-storage integrated project participating in flexibility regulation.

[0097] It represents the electricity price of other power sources outside the power grid of the integrated source-grid-load-storage project participating in flexibility regulation.

[0098] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the source-grid-load-storage integrated system scheduling method taking flexibility into account when executing the computer program.

[0099] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the source-grid-load-storage integrated system scheduling method taking flexibility into account.

[0100] Beneficial effects of the present invention:

[0101] The present invention takes into account the flexibility of the source-grid-load-storage integrated system scheduling method, by adjusting demand and electricity demand as the link, to establish a master-slave game model, the upper leader of the game model is the source-grid-load-storage integrated project, the source-grid-load-storage integrated project adjusts demand and electricity demand according to its own flexibility, and guides the behavior of followers with reasonable and effective incentive price signals, the follower of the game model is the external power grid, according to the flexibility value transmitted by the incentive price and the adjustment ability of the power grid itself, the optimal flexibility adjustment demand and electricity are determined, the model further improves the flexibility of the integrated project through continuous game, reduces the dependence of the integrated project on the external power grid, achieves the optimal economic benefit of the integrated project and the balance of supply and demand with the external power grid, thereby achieving stable operation of the integrated project and the external power grid.

[0102] The present invention takes into account the flexibility of the source-grid-load-storage integrated system scheduling method, which reveals the real supply and demand relationship between the system integration project and the external power grid in different time periods and different operating conditions through the game relationship between the source-grid-load-storage integrated project and the external power grid, and realizes the flexibility supply and demand equilibrium state between the integration project and the external power grid based on the game equilibrium principle, which is the supply and demand balance of scheduling. BRIEF DESCRIPTION OF THE DRAWINGS

[0103] Figure 1 This is a flow chart of the scheduling method for the source-grid-load-storage integrated system taking into account flexibility proposed by the present invention. DETAILED DESCRIPTION

[0104] The specific implementation of the present invention is described below in conjunction with the accompanying drawings and embodiments:

[0105] It should be noted that the structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification for people familiar with this technology to understand and read, and are not used to limit the conditions under which the present invention can be implemented. Any structural modification, change in proportional relationship or adjustment of size should still fall within the scope of the technical contents disclosed in the present invention without affecting the effects and purposes that can be achieved by the present invention.

[0106] At the same time, the terms such as "upper", "lower", "left", "right", "middle" and "one" cited in this specification are only for the convenience of description and are not used to limit the scope of implementation of the present invention. Changes or adjustments to their relative relationships should be regarded as the scope of implementation of the present invention without substantially changing the technical content.

[0107] like Figure 1 As shown, it shows a specific embodiment of the present invention:

[0108] Example 1

[0109] The method for dispatching a source-grid-load-storage integrated system taking flexibility into account disclosed in the present invention comprises the following steps:

[0110] S01: Establish a two-layer structure model of master-slave game,

[0111] The upper model is a game leader optimization model established for the source-grid-load-storage integrated project based on the source-load production timing matching, with the purpose of achieving the optimal internal economic performance of the source-grid-load-storage integrated project.

[0112] The lower model is the external power grid, which includes three parts: power regulation cost, plan adjustment cost, and power carbon cost. It is a game follower optimization model.

[0113] S02: Use a double-layer nesting method to solve the equilibrium solution of the double-layer structure model, that is, the economic benefit balance point;

[0114] S03: Adjust the dispatch of source, grid, load and storage according to the equilibrium solution to achieve the best benefit.

[0115] In this embodiment, the source-grid-load-storage integration project is linked to the external power grid through external regulation demand and electricity demand, but the resources of the power grid are limited. Therefore, when the external power grid provides regulation and electricity to the integration project, it is necessary to consider the influencing factors of the external power grid itself. The internal factors are mainly the flexibility regulation costs that the power grid needs to invest when providing regulation capabilities for the integration project, which are mainly the comprehensive regulation costs of thermal power output and energy storage output; when it is necessary to provide regulation and electricity for the integration project, the adjustment costs compared with the planned output and the carbon costs generated by the regulation, the lower-level dispatching model is established on the basis of its own economic benefits, and the external power grid dispatching model ultimately becomes an economic model.

[0116] Specifically, in step S01:

[0117] The game leader optimization model adjusts demand and power demand according to its own flexibility to incentivize price signals to guide the behavior of followers;

[0118] The game follower optimization model determines the optimal flexibility regulation demand and power according to the flexibility value transmitted by the incentive price and the regulation capability of the power grid itself.

[0119] In this embodiment, a master-slave game model is established by using regulation demand and power demand as a link.

[0120] The upper-level leader of the game is an integrated project, which adjusts demand and power demand according to its own flexibility and guides the behavior of followers with reasonable and effective incentive price signals;

[0121] The followers of the game are external power grids, which determine the optimal flexibility adjustment demand and power according to the flexibility value transmitted by the incentive price and the adjustment ability of the power grid itself. Through continuous game, the flexibility of the integrated project is further improved, the dependence of the integrated project on the external power grid is reduced, the economic benefits of the integrated project are optimized, the supply and demand balance between the integrated project and the external power grid is achieved, and the stable operation of the integrated project and the external power grid is achieved.

[0122] As a further description of the present invention, the steps for establishing the game leader optimization model in step S01 are:

[0123] S011: Define the internal new energy volatility index of the source-grid-load-storage integrated project.

[0124] The time series of the change rate of new energy and load is used to replace the output time series of new energy and load to achieve the coupling of new energy output and load change. The internal new energy volatility index of the source-grid-load-storage integration project is:

[0125]

[0126] in,

[0127] R N (t) is the change rate of the internal renewable energy output of the source-grid-load-storage integration project at time t,

[0128] P N (t) is the power of the new energy output of the source-grid-load-storage integration project at time t,

[0129] R d (t) is the change rate of the internal load output of the source-grid-load-storage integration project at time t,

[0130] P d (t) is the power of the internal load output of the source-grid-load-storage integration project at time t,

[0131] r(P N ,P d ) is the Euclidean distance between the new energy output change rate sequence and the load output change rate sequence;

[0132] S012: Quantify the internal flexibility adjustment needs of renewable energy in integrated power generation, grid-load and storage projects.

[0133] After formulating the planned output of new energy on the day before according to the predicted output, the ideal output scenario of new energy that meets the volatility index is constructed by performing power equivalence on the planned output curve of new energy on the day before, with the goal of minimizing the flexible adjustment of power. The difference between the ideal output curve of new energy and the planned output curve of new energy on the day before is calculated to quantify the demand for flexible adjustment of new energy.

[0134] The construction model of the ideal output scenario of new energy that meets the volatility index is:

[0135]

[0136] in,

[0137] P N,equal To meet the ideal output sequence of new energy sources with volatility indicators,

[0138] Contribute to the day-ahead new energy plan formulated internally for the integration of source, grid, load and storage at time t,

[0139] The ideal output of new energy that meets the volatility index at time t,

[0140] To adjust the power supply in the integrated source-grid-load-storage system at time t.

[0141] R is the new energy volatility assessment index set by the external power grid;

[0142] S013: Establish a revenue model within the source-grid-load-storage integration project.

[0143] The upper optimization model is established based on the optimal internal power operation cost of the source-grid-load-storage integrated project:

[0144] maxF N =f N,in +f S,in -f l,in -f N,m -f N,ab -f N,flex

[0145]

[0146] in,

[0147] F N The maximum economic benefit of the internal power operation cost of the source-grid-load-storage integration project.

[0148] f N,in The electricity revenue of new energy within the source-grid-load-storage integration project,

[0149] f S,in The electricity revenue of the internal energy storage of the source-grid-load-storage integration project,

[0150] f l,in The electricity revenue of the internal load of the source-grid-load-storage integration project,

[0151] f N,m The maintenance cost of new energy and energy storage within the integrated source-grid-load-storage project.

[0152] f N,ab The cost of power abandonment of new energy within the integrated power-grid-load-storage project.

[0153] f N,flex The flexibility cost required outside the integrated power grid and load storage project.

[0154] r t is the market electricity price at time t,

[0155] is the energy storage power at time t inside the source-grid-load-storage integration project,

[0156] is the load power at time t inside the source-grid-load-storage integration project,

[0157] is the load flexibility response power at time t within the source-grid-load-storage integration project,

[0158] λ N,m The comprehensive operation and maintenance cost coefficient of new energy and energy storage within the source-grid-load-storage integrated project.

[0159] The total power of new energy and energy storage within the source-grid-load-storage integration project.

[0160] λ N,ab The cost of power abandonment of new energy within the integrated power-grid-load-storage project.

[0161] To help predict the new energy output at time t within the source-grid-load-storage integration project,

[0162] To flexibly adjust the electricity price of the external power grid of the source-grid-load-storage integrated project at time t,

[0163] To flexibly adjust the power of the external power grid of the source-grid-load-storage integration project at moment t.

[0164] Specifically, the external power grid dispatch objective function, that is, the game follower optimization model is:

[0165]

[0166] in,

[0167] The electricity price cost of the external grid flexibility adjustment required by the source-grid-load-storage integration project,

[0168] The output plan adjustment cost of the external grid flexibility regulation required by the source-grid-load-storage integration project is represented by

[0169] Represents the carbon cost of external grid flexibility regulation required for the integrated source-grid-load-storage project.

[0170] Specifically, the constraints of the game leader optimization model include new energy output constraints, flexibility adjustment direction state variable constraints, and flexibility adjustment incentive price constraints.

[0171] Specifically, the new energy output constraints are:

[0172]

[0173] Specifically, the flexibility adjustment direction state variable constraint is:

[0174]

[0175] Specifically, the flexibility adjustment incentive price constraint is:

[0176]

[0177] in, is the state variable of the flexibility adjustment demand direction within the source-grid-load-storage integration at time t,

[0178] It means that the integrated source-grid-load-storage system needs to provide the external grid with flexibility to adjust the amount of electricity.

[0179] It means that the integrated source-grid-load-storage system needs to input electricity from the external power grid for flexibility adjustment.

[0180] As a further description of the present invention, the constraint condition of the external power grid dispatch objective function is:

[0181]

[0182] C C,flexrepresents the flexibility adjustment cost of external power grid thermal power in the source-grid-load-storage integrated project,

[0183] C S,flex represents the flexibility adjustment cost of external grid energy storage in the source-grid-load-storage integrated project,

[0184] C el,flex It represents the regulation cost of other power sources in the external power grid of the source-grid-load-storage integration project.

[0185] It represents the planned adjusted output of the external power grid power supply of the source-grid-load-storage integration project at time t,

[0186] r t,out represents the output plan adjustment price of the external grid power supply of the source-grid-load-storage integration project at time t,

[0187] represents the carbon emissions of the external power grid power supply of the source-grid-load-storage integration project at time t,

[0188] κ t represents the carbon price of the external grid power supply of the source-grid-load-storage integration project at time t,

[0189] in,

[0190]

[0191] C om represents the start-up and shutdown cost of thermal power in the external power grid of the source-grid-load-storage integrated project,

[0192] C DR represents the dispatching cost of thermal power in the external power grid of the source-grid-load-storage integrated project,

[0193] C s,out It represents the cost of flexible discharge of external grid energy storage in the source-grid-load-storage integrated project,

[0194] C s,in It represents the cost of charging the external grid energy storage flexibility of the source-grid-load-storage integrated project,

[0195] η represents the conversion efficiency of external grid energy storage in the source-grid-load-storage integrated project,

[0196] It represents the comprehensive output of other power sources in the external power grid of the source-grid-load-storage integration project.

[0197] It represents the comprehensive output coefficient of other power sources in the external power grid of the source-grid-load-storage integrated project participating in flexibility regulation.

[0198] It represents the electricity price of other power sources outside the power grid of the integrated source-grid-load-storage project participating in flexibility regulation.

[0199] Example 2

[0200] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the source-grid-load-storage integrated system scheduling method taking flexibility into account as described in Example 1 when executing the computer program.

[0201] Example 3

[0202] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the source-grid-load-storage integrated system scheduling method taking flexibility into account as described in Example 1.

[0203] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0204] The present invention is described with reference to the flowcharts and / or block diagrams of the methods and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0205] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0206] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0207] The preferred embodiments of the present invention are described in detail above in conjunction with the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge scope of ordinary technicians in this field without departing from the purpose of the present invention.

[0208] Many other changes and modifications may be made without departing from the concept and scope of the present invention.It should be understood that the present invention is not limited to the specific embodiments, and the scope of the present invention is defined by the appended claims.

Claims

1. A dispatching method for a source-grid-load-storage integrated system taking flexibility into account, characterized in that: The following steps are involved: S01: Establish a two-layer structure model of master-slave game, The upper model is a game leader optimization model established for the source-grid-load-storage integrated project based on the source-load production timing matching, with the purpose of achieving the optimal internal economic performance of the source-grid-load-storage integrated project. The lower model is the external power grid, which includes three parts: power regulation cost, plan adjustment cost, and power carbon cost. It is a game follower optimization model. S02: Use a double-layer nesting method to solve the equilibrium solution of the double-layer structure model, that is, the economic benefit balance point; S03: Adjust the dispatch of source, grid, load and storage according to the equilibrium solution to achieve the best benefit.

2. The method for dispatching a source-grid-load-storage integrated system taking flexibility into account according to claim 1, characterized in that: In step S01: The game leader optimization model adjusts demand and power demand according to its own flexibility to incentivize price signals to guide the behavior of followers; The game follower optimization model determines the optimal flexibility regulation demand and power according to the flexibility value transmitted by the incentive price and the regulation capability of the power grid itself.

3. The method for dispatching a source-grid-load-storage integrated system taking flexibility into account according to claim 1, characterized in that: The steps for establishing the game leader optimization model in step S01 are: S011: Define the internal new energy volatility index of the source-grid-load-storage integrated project. The time series of the change rate of new energy and load is used to replace the output time series of new energy and load to achieve the coupling of new energy output and load change. The internal new energy volatility index of the source-grid-load-storage integration project is: in, R N (t) is the change rate of the internal renewable energy output of the source-grid-load-storage integration project at time t, P N (t) is the power of the new energy output of the source-grid-load-storage integration project at time t, R d (t) is the change rate of the internal load output of the source-grid-load-storage integration project at time t, P d (t) is the power of the internal load output of the source-grid-load-storage integration project at time t, r(P N ,P d ) is the Euclidean distance between the new energy output change rate sequence and the load output change rate sequence; S012: Quantify the internal flexibility adjustment needs of renewable energy in integrated power generation, grid-load and storage projects. After formulating the planned output of new energy on the day before according to the predicted output, the ideal output scenario of new energy that meets the volatility index is constructed by performing power equivalence on the planned output curve of new energy on the day before, with the goal of minimizing the flexible adjustment of power. The difference between the ideal output curve of new energy and the planned output curve of new energy on the day before is calculated to quantify the demand for flexible adjustment of new energy. The construction model of the ideal output scenario of new energy that meets the volatility index is: in, P N,equal To meet the ideal output sequence of new energy sources with volatility indicators, Contribute to the day-ahead new energy plan formulated internally for the integration of source, grid, load and storage at time t, The ideal output of new energy that meets the volatility index at time t, To adjust the power supply in the integrated source-grid-load-storage system at time t. R is the new energy volatility assessment index set by the external power grid; S013: Establish a revenue model within the source-grid-load-storage integration project. The upper optimization model is established based on the optimal internal power operation cost of the source-grid-load-storage integrated project: maxF N =f N,in +f S,in -f l,in -f N,m -f N,ab -f N,flex in, F N The maximum economic benefit of the internal power operation cost of the source-grid-load-storage integration project. f N,in The electricity revenue of new energy within the source-grid-load-storage integration project, f S,in The electricity revenue of the internal energy storage in the source-grid-load-storage integration project, f l,in The electricity revenue of the internal load of the source-grid-load-storage integration project, f N,m The maintenance cost of new energy and energy storage within the integrated source-grid-load-storage project. f N,ab The cost of power abandonment of new energy within the integrated power-grid-load-storage project. f N,flex The flexibility cost required outside the integrated power grid and load storage project. r t is the market electricity price at time t, is the energy storage power at time t inside the source-grid-load-storage integration project, is the load power at time t inside the source-grid-load-storage integration project, is the load flexibility response power at time t within the source-grid-load-storage integration project, λ N,m The comprehensive operation and maintenance cost coefficient of new energy and energy storage within the source-grid-load-storage integrated project. The total power of new energy and energy storage within the source-grid-load-storage integration project. λ N,ab The cost of power abandonment of new energy within the integrated power-grid-load-storage project. To help predict the new energy output at time t within the source-grid-load-storage integration project, To flexibly adjust the electricity price of the external power grid of the source-grid-load-storage integrated project at time t, To flexibly adjust the power of the external power grid of the source-grid-load-storage integration project at moment t.

4. The method for dispatching a source-grid-load-storage integrated system taking flexibility into account according to claim 1, characterized in that: The external power grid dispatch objective function, that is, the game follower optimization model is: in, The electricity price cost of the external grid flexibility adjustment required by the source-grid-load-storage integration project, The output plan adjustment cost of the external grid flexibility regulation required by the source-grid-load-storage integration project is represented by Represents the carbon cost of external grid flexibility regulation required for the integrated source-grid-load-storage project.

5. The method for dispatching a source-grid-load-storage integrated system taking flexibility into account according to claim 2, characterized in that: The constraints of the game leader optimization model include new energy output constraints, flexibility adjustment direction state variable constraints, and flexibility adjustment incentive price constraints.

6. The method for dispatching a source-grid-load-storage integrated system taking flexibility into account according to claim 5, characterized in that: The new energy output constraints are: The flexibility adjustment direction state variable constraint is: The flexibility adjustment incentive price constraint is: in, is the state variable of the flexibility adjustment demand direction within the source-grid-load-storage integration at time t, It means that the integrated source-grid-load-storage system needs to provide the external grid with flexibility to adjust the amount of electricity. This means that the integrated source-grid-load-storage system needs to input electricity from the external power grid for flexibility adjustment.

7. The method for dispatching a source-grid-load-storage integrated system taking flexibility into account according to claim 4, characterized in that: The constraints of the external power grid dispatch objective function are: C C,flex represents the flexibility adjustment cost of external power grid thermal power in the source-grid-load-storage integrated project, C S,flex represents the flexibility adjustment cost of external grid energy storage in the source-grid-load-storage integrated project, C el,flex It represents the regulation cost of other power sources in the external power grid of the source-grid-load-storage integration project. It represents the planned adjusted output of the external power grid power supply of the source-grid-load-storage integration project at time t, r t,out represents the output plan adjustment price of the external grid power supply of the source-grid-load-storage integration project at time t, represents the carbon emissions of the external power grid power supply of the source-grid-load-storage integration project at time t, κ t represents the carbon price of the external grid power supply of the source-grid-load-storage integration project at time t, in, C om represents the start-up and shutdown cost of thermal power in the external power grid of the source-grid-load-storage integrated project, C DR represents the dispatching cost of thermal power in the external power grid of the source-grid-load-storage integrated project, C s,out It represents the cost of flexible discharge of external grid energy storage in the source-grid-load-storage integrated project, C s,in It represents the cost of charging the external grid energy storage flexibility of the source-grid-load-storage integrated project, η represents the conversion efficiency of external grid energy storage in the source-grid-load-storage integrated project, It represents the comprehensive output of other power sources in the external power grid of the source-grid-load-storage integration project. It represents the comprehensive output coefficient of other power sources in the external power grid of the source-grid-load-storage integrated project participating in flexibility regulation. It represents the electricity price of other power sources outside the power grid of the integrated source-grid-load-storage project participating in flexibility regulation.

8. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the source-grid-load-storage integrated system scheduling method taking flexibility into account as described in any one of claims 1 to 3 is implemented.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the source-grid-load-storage integrated system scheduling method taking flexibility into account as described in any one of claims 1 to 3 is implemented.

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