Solar-assisted coal-fired unit optimal scheduling method, device and system combined with peak regulation

Abstract

The invention discloses a method, a device and a system for optimized dispatching of a solar-assisted coal-fired unit in combination with peak regulation, and belongs to the technical field of optimized dispatching of power systems. The scheduling method comprises the steps of obtaining a power supply of a power grid for a solar-assisted coal-fired unit and a regional power grid served by the solar-assisted coal-fired unit, and constructing a system operation model based on the power supply; obtaining output parameters of the new energy power supply system, and constructing a peak regulation balance model; combining the peak regulation balance model and the system operation model to construct a scheduling model; and based on the target function of the scheduling model, solving the scheduling model to obtain a scheduling strategy. According to the method, a peak regulation collaborative scheduling module in which wind and light new energy participates in grid connection is established, the consumption amount of the new energy is improved, the peak regulation capacity of the solar photo-thermal side and the peak regulation capacity of the coal-fired side are fully excavated and exerted, the solar photo-thermal side and the coal-fired side are matched with renewable energy sources, and a more flexible operation regulation and control strategy for achieving system peak regulation is obtained.

Description

Technical Field

[0001] The present invention belongs to the technical field of power system optimization and dispatching, and specifically relates to a method, device and system for optimizing and dispatching a solar-assisted coal-fired unit combined with peak load regulation. Background Art

[0002] Renewable energy is developing rapidly, gradually replacing coal-fired power plants as the main energy source. However, with the intermittent, random and anti-peak characteristics of renewable energy, thermal power units are facing huge impacts, low-load operation, peak load regulation has become the norm, and frequent start and stop have increased the peak load regulation demand of the power system.

[0003] Coal-fired power plants can cooperate with renewable energy, take on more regulatory tasks, increase renewable energy consumption, and ensure stable grid operation. Therefore, improving the flexibility of existing coal-fired power plants, especially reducing the minimum power load, is a viable option to increase the penetration of renewable energy and avoid frequent startup and shutdown of coal-fired power plants.

[0004] The solar-coal complementary power generation system, also known as the solar-assisted coal-fired power generation system, is a thermal system that is coupled by a conventional coal-fired power generation system and a solar-thermal power generation system. A molten salt heat storage system is set up in the system to store the excess heat of the heating medium when there is sufficient sunlight. At night or when solar energy is insufficient, the heat storage molten salt is used to release heat to heat the medium, thereby achieving stable output power of the unit. Solar-assisted coal-fired units can achieve flexible operation of the units to maximize the utilization of solar energy, reduce the phenomenon of abandoned light, and achieve flexible operation of coal-fired units.

[0005] However, solar-assisted coal-fired units contain multiple types of energy, and there are energy storage and release processes. The structure is complex and difficult to control when participating in peak load regulation. The scheduling plan of solar-assisted coal-fired units is not flexible enough and the effect is not good, which makes it difficult to meet power regulation and resource allocation. Summary of the invention

[0006] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art and to provide a method, device and system for optimizing the scheduling of solar-assisted coal-fired units combined with peak load regulation, so as to solve the problem in the prior art that the scheduling scheme of solar-assisted coal-fired units is not flexible enough and is difficult to meet power regulation and resource allocation.

[0007] In order to achieve the above object, the present invention adopts the following technical solutions:

[0008] A method for optimizing the dispatching of a solar-assisted coal-fired unit combined with peak load regulation comprises the following steps:

[0009] Obtaining a power supply from a power grid, the power supply comprising a solar-assisted coal-fired unit and a new energy power supply system; the solar-assisted coal-fired unit comprising a connected solar thermal module and a heat storage system; constructing a system operation model based on the power supply; the system operation model comprising a new energy operation model and a solar-assisted coal-fired unit operation model;

[0010] Obtain output parameters of the new energy power supply system and construct a peak load balance model; the peak load balance model includes power supply balance constraints, heat storage system balance constraints and solar heat storage module energy flow balance constraints;

[0011] Combine the peak load balance model and system operation model to build a scheduling model;

[0012] Based on the objective function of the scheduling model, the scheduling model is solved to obtain the scheduling strategy.

[0013] A further improvement of the present invention is:

[0014] Preferably, the new energy power supply system includes a wind power system and a photovoltaic system.

[0015] Preferably, the system operation model includes a unit output constraint model, a unit climbing constraint model and an energy storage system operation constraint model.

[0016] Preferably, the unit output constraint model is:

[0017]

[0018] The unit climbing constraint model is:

[0019]

[0020] The energy storage system operation constraint model is:

[0021]

[0022] in, represents the output of unit i at time t; is a 0-1 variable indicating the online status of unit i at time t, 1 means online; P i,max and P i,min Respectively represent the upper and lower limits of the output of unit i; ΔP i,max and ΔP i,min Respectively represent the maximum up and down climbing power of unit i, Q solar,max is the maximum heat release power of the heat storage system, The solar energy heat stored in the thermal storage system in period t; is the solar heat output by the thermal storage system in period t.

[0023] Preferably, the peak load balancing model is:

[0024]

[0025] in, are the power generation corresponding to time period t, and are the heat storage of the heat storage system at the end of the tth and t–1th periods, respectively; The solar energy heat stored in the thermal storage system in period t; is the solar heat output by the thermal storage system in period t. The heat absorbed by the heat transfer oil in the solar thermal field during the current period; The amount of abandoned light in the solar thermal field in the current period; Provide heat for the unit. is the user's thermal demand at time t; is the maximum output of photovoltaic new energy at the t moment; is the maximum output of wind power at moment t.

[0026] Preferably, the objective function of the scheduling model is:

[0027] F1=min(F coal +F o +F Q +F s +F q +F sell )

[0028]

[0029] Among them, F coal is the coal consumption cost; F o F is the operation and maintenance cost; Q is the cost of the heat storage tank; F s Compensation cost for peak load regulation; F q Penalty cost for wind and solar power curtailment; F sell Profits from providing electricity and heat for the units; is the coal consumption of the unit; C is the carbon content in the coal; 3.67 is the ratio of carbon dioxide produced by complete combustion of each unit of carbon.

[0030] Preferably, the coal consumption cost is:

[0031]

[0032] in, for the price of coal; is the coal consumption of the unit at time t;

[0033] The operation and maintenance costs are:

[0034]

[0035] in, and They are the operation and maintenance costs per unit power generation of wind power, photovoltaic power, and solar-coal complementary units; are the power generation corresponding to time period t respectively;

[0036] The cost of the heat storage tank is:

[0037]

[0038] Among them, c1 is the unit initial investment price; Q max is the maximum heat storage capacity; R is the discount rate; Y is the service life of the heat storage tank;

[0039] The peak load compensation cost is:

[0040]

[0041] in, Unit compensation price for the complementary participation of light coal in peak load regulation service; and The minimum output of the basic peak load regulation unit and the output during period t;

[0042] The penalty cost for wind and solar power abandonment is:

[0043]

[0044] in, and are the penalty cost coefficients for wind and solar abandonment, respectively; and is the amount of wind and solar power abandoned in period t;

[0045] The power generation and heating income of the unit is:

[0046]

[0047] in, The electricity price for solar-assisted coal-fired units; and They are the heat prices for the unit and solar heating respectively.

[0048] Preferably, the scheduling model is solved and calculated by using an NSGA-II optimization algorithm.

[0049] A solar-assisted coal-fired unit optimization dispatching device combined with peak load regulation, comprising:

[0050] An operation model unit is provided to obtain a power supply of the power grid, wherein the power supply includes a solar-assisted coal-fired unit and a new energy power supply system; the solar-assisted coal-fired unit includes a connected solar thermal module and a heat storage system; a system operation model is constructed based on the power supply; the system operation model includes a new energy operation model and a solar-assisted coal-fired unit operation model;

[0051] A peak-shaving model unit obtains output parameters of the new energy power supply system and constructs a peak-shaving balance model; the peak-shaving balance model includes power supply balance constraints, heat storage system balance constraints, and solar heat storage module energy flow balance constraints;

[0052] The scheduling model unit combines the peak load balance model and the system operation model to build a scheduling model;

[0053] Solve the unit, solve the scheduling model, and obtain the scheduling strategy.

[0054] A solar-assisted coal-fired unit optimization scheduling system combined with peak load regulation, characterized in that it comprises a solar-assisted coal-fired unit and a new energy power supply system; the solar-assisted coal-fired unit comprises a connected solar thermal module and a heat storage system, and the solar thermal module supplies power to the heat storage system;

[0055] The new energy system and the heat storage system are connected to a load together.

[0056] Compared with the prior art, the present invention has the following beneficial effects:

[0057] The present invention discloses an optimization scheduling method for solar-assisted coal-fired units combined with peak shaving. The scheduling method targets solar-assisted coal-fired units and the regional power grid they serve, analyzes the power grid source-load characteristics and the peak shaving operation method of solar-assisted coal-fired units; constructs a system operation model; obtains power grid load and new energy output parameters; constructs a peak shaving balance model; coordinately schedules the peak shaving balance model and the system operation model to construct a power system scheduling model for peak shaving; solves the power system scheduling model for peak shaving based on parameters to obtain a system scheduling strategy. The method establishes a peak shaving coordinated scheduling module for wind and solar new energy to participate in the grid connection, improves the new energy consumption, fully explores and gives play to the peak shaving capabilities of the solar thermal side and the coal-fired side, and cooperates with renewable energy to obtain a system peak shaving and a more flexible operation and control strategy. The method realizes the coordinated scheduling of various resources, improves the new energy consumption of the system, reduces the operating cost of the system, and improves energy utilization efficiency.

[0058] Furthermore, the system operation model takes into account the unit's output constraint model, the unit's climbing constraint model and the energy storage system constraint model, and fully considers the operation status of the entire unit during the regulation process. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 A flow chart showing the method for optimizing the dispatching of solar-assisted coal-fired units considering peak load regulation according to the present invention is shown;

[0060] Figure 2 A schematic structural diagram of a solar-assisted coal-fired unit provided by an embodiment of the present disclosure is shown;

[0061] Among them, 1. Wind power system; 2. Photovoltaic system; 3. Inverter; 4. Tower solar thermal collector; 5. Cold molten salt tank; 6. Hot molten salt tank; 7. Heat exchanger; 8. Boiler; 9. High-pressure cylinder; 10. Medium-pressure cylinder; 11. Low-pressure cylinder; 12. Heater; 13. Deaerator; 14. Condenser; 15. Generator; 16. Load. DETAILED DESCRIPTION

[0062] The present invention is further described in detail below in conjunction with the accompanying drawings:

[0063] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0064] See also Figure 1 The first aspect of the present invention discloses a method for optimizing the scheduling of a solar-assisted coal-fired unit considering peak load regulation, comprising the following steps:

[0065] S1, obtaining a power supply from a power grid, wherein the power supply includes a solar-assisted coal-fired unit and a new energy power supply system; the solar-assisted coal-fired unit includes a connected solar thermal module and a heat storage system; a system operation model is constructed based on the power supply; the system operation model includes a new energy operation model and a solar-assisted coal-fired unit operation model;

[0066] S2, obtaining the output parameters of the new energy power supply system and constructing a peak load balance model; the peak load balance model includes a power supply balance constraint, a heat storage system balance constraint and a solar heat storage module energy flow balance constraint;

[0067] S3, combining the peak load balance model and the system operation model to build a scheduling model;

[0068] S4, based on the objective function of the scheduling model, solve the scheduling model and obtain the scheduling strategy.

[0069] In one possible implementation, in S1, the optimal scheduling method for solar-assisted coal-fired units considering peak load regulation is that wind power output and photovoltaic output are used as external input conditions to share user power load with the solar-assisted coal-fired power generation system.

[0070] In one possible implementation, in S1, the system operation model includes wind power, photovoltaic system operation models and solar-assisted coal-fired unit operation models.

[0071] The system operation model includes:

[0072] Wind power and photovoltaic system operation constraint model:

[0073]

[0074] Among them, P pv,a and P wp,a They represent the maximum output of wind power and photovoltaic new energy respectively.

[0075] Unit output constraint model:

[0076]

[0077] Unit climbing constraint model:

[0078]

[0079] in, represents the output of unit i at time t; is a 0-1 variable indicating the online status of unit i at time t, 1 means online; P i,max and P i,min Respectively represent the upper and lower limits of the output of unit i; ΔP i,max and ΔP i,min Respectively represent the maximum up and down climbing power of unit i.

[0080] Energy storage system operation constraint model:

[0081]

[0082] Among them, Q solar,max is the maximum heat release power of the heat storage system.

[0083] In one possible implementation, in S2, the peak load balancing model includes wind, light, and solar energy assisted coal output balance constraints, heat storage system balance constraints, and solar thermal module energy flow balance constraints.

[0084]

[0085]

[0086] in, and are the heat storage of the heat storage system at the end of the tth and t–1th periods, respectively; The solar energy heat stored in the thermal storage system in period t; is the solar heat output by the thermal storage system in period t. The heat absorbed by the heat transfer oil in the solar thermal field during the current period; The amount of abandoned light in the solar thermal field in the current period; are the power generation corresponding to time period t respectively.

[0087] In one possible implementation, in S3, the objective function 1 of the solar-assisted coal-fired unit dispatch model considering peak load regulation is to minimize the sum of the operation cost, peak load regulation cost, wind and solar power abandonment penalty cost and the unit's power generation and heating income, and the objective function 2 is to minimize the carbon emission intensity, as shown in the following formula:

[0088] F1=min(F coal +F o +F Q +F s +F q +F sell )

[0089]

[0090] Among them, F coal is the coal consumption cost; F o F is the operation and maintenance cost; Q is the cost of the heat storage tank; F s Compensation cost for peak load regulation; F q Penalty cost for wind and solar power curtailment; F sell Profits from providing electricity and heat for the units; is the coal consumption of the unit; C is the carbon content in the coal; 3.67 is the ratio of carbon dioxide produced by complete combustion of each unit of carbon.

[0091] The operating cost F1 of solar-assisted coal-fired units includes:

[0092] The coal consumption cost is:

[0093]

[0094] in, for the price of coal; is the coal consumption of the unit at time t.

[0095] The operation and maintenance costs are:

[0096]

[0097] in, and They are the operation and maintenance costs per unit power generation of wind power, photovoltaic power, and solar-coal complementary units; are the power generation corresponding to time period t respectively.

[0098] The cost of the thermal storage tank is:

[0099]

[0100] Among them, c1 is the unit initial investment price; Q max is the maximum heat storage capacity; r is the discount rate; Y is the service life of the heat storage tank.

[0101] Peak load compensation cost

[0102]

[0103] in, Unit compensation price for the complementary participation of light coal in peak load regulation service; and is the minimum output of the basic peak load regulation unit and the output during period t

[0104] Wind and solar power abandonment penalty cost: The abandoned wind and solar power are equivalent to penalty costs and taken into account in the system cost to improve the absorption capacity of wind and photovoltaic power generation:

[0105]

[0106] in, and are the penalty cost coefficients for wind and solar abandonment, respectively; and is the amount of wind and solar power abandoned in period t.

[0107] Revenue from power generation and heating

[0108]

[0109] in, The electricity price for solar-assisted coal-fired units; and They are the heat prices for the unit and solar heating respectively.

[0110] Combined with the above formula, it can be seen that the objective function 1 of the solar-assisted coal-fired unit scheduling model considering peak load regulation is to minimize the sum of coal consumption cost, operation and maintenance cost, heat storage tank cost, peak load regulation cost, wind and solar power abandonment penalty cost and unit power generation and heating income, including:

[0111]

[0112] in, for the price of coal; is the coal consumption of the unit at time t; and They are the operation and maintenance costs per unit power generation of wind power, photovoltaic power, and solar-coal complementary units; are the power generation corresponding to time period t; c1 is the unit initial investment price; Q max is the maximum heat storage capacity; r is the discount rate; Y is the service life of the heat storage tank; Unit compensation price for the complementary participation of light coal in peak load regulation service; and The minimum output of the basic peak load regulation unit and the output during period t; and are the penalty cost coefficients for wind and solar abandonment, respectively; and is the amount of wind and solar power abandoned in period t; The electricity price for solar-assisted coal-fired units; and They are the heat prices for the unit and solar heating respectively.

[0113] In a possible implementation, the solar-assisted coal-fired unit scheduling model considering peak load regulation is solved and calculated using the NSGA-II optimization algorithm.

[0114] The second aspect of the present invention discloses a solar-assisted coal-fired unit optimization scheduling device combined with peak load regulation, comprising:

[0115] An operation model unit is provided to obtain a power supply of the power grid, wherein the power supply includes a solar-assisted coal-fired unit and a new energy power supply system; the solar-assisted coal-fired unit includes a connected solar thermal module and a heat storage system; a system operation model is constructed based on the power supply; the system operation model includes a new energy operation model and a solar-assisted coal-fired unit operation model;

[0116] A peak-shaving model unit obtains output parameters of the new energy power supply system and constructs a peak-shaving balance model; the peak-shaving balance model includes power supply balance constraints, heat storage system balance constraints, and solar heat storage module energy flow balance constraints;

[0117] The scheduling model unit combines the peak load balance model and the system operation model to build a scheduling model;

[0118] Solve the unit, solve the scheduling model, and obtain the scheduling strategy.

[0119] The third aspect of the present invention discloses Figure 2 The solar-assisted coal-fired unit optimization scheduling system combined with peak load regulation is shown, including a wind power system 1, a photovoltaic system 2 and a solar-assisted coal-fired unit. The wind power system 1, the photovoltaic system 2 and the solar-assisted coal-fired unit are all connected to a load 16 to supply power to the load 16 together.

[0120] The solar-assisted coal-fired unit includes a tower solar thermal collection and storage subsystem and a coal-fired cogeneration subsystem, wherein the tower solar thermal collection and storage subsystem includes a tower solar thermal collection device 4, a cold molten salt tank 5, a hot molten salt tank 6 and a heat exchanger 7; wherein, along the direction of fluid flow, the outlet of the tower solar thermal collection device 4 is connected to the hot molten salt tank 6, the outlet of the hot molten salt tank 6 is connected to the cold end inlet of the heat exchanger 7, and the cold end outlet of the heat exchanger 7 is connected to the outlet of the cold molten salt tank 5; the hot end outlet of the heat exchanger 7 is connected to the outlet of the boiler 8, the hot end inlet of the heat exchanger 7 is connected to the steam inlet of the boiler 8, and the water vapor output from the heater 12 is supplied to the boiler 8 and the heat exchanger 7 at the same time. After the primary steam of the boiler 8 is transferred to the high-pressure cylinder 9, the exhaust steam of the high-pressure cylinder 9 is transferred to the boiler 8. After the boiler 8 performs secondary heating on the steam, the reheated steam is transferred to the intermediate-pressure cylinder 10. The intermediate-pressure cylinder 10 transfers the exhaust steam to the low-pressure cylinder 11. The high-pressure cylinder 9, the intermediate-pressure cylinder 10 and the low-pressure cylinder 11 jointly drive the generator 15 to work, and the electricity output by the generator 15 enters the power grid.

[0121] The wind power system 1 and the photovoltaic system 2 are processed by the inverter 3 and then enter the power grid.

[0122] On the one hand, the exhaust steam of the low-pressure cylinder is cooled by the condenser 14, and the condensed water enters the heater 12 and is heated by the exhaust steam extracted from the high, medium and low-pressure cylinders, so that the feed water temperature reaches the feed water temperature at the boiler inlet, and the heating process is processed by the deaerator 13. The heater 12 uses part of the steam extracted from a certain intermediate stage of the steam turbine to add feed water, thereby increasing the feed water temperature and reducing the heat absorption of the feed water in the boiler, thereby improving the thermal efficiency of the unit.

[0123] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. In addition, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "multiple" means two or more. In the description of the present invention, the first feature "above" or "below" the second feature may include the first and second features being in direct contact, or the first and second features not being in direct contact but being in contact through another feature between them.

[0124] In the description of the present invention, “on”, “over” and “above” a first feature from a second feature includes the first feature being directly above and obliquely above the second feature, or simply means that the first feature is horizontally higher than the second feature.

[0125] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0126] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0127] Although the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the claims and their equivalents.

[0128] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for optimizing the dispatching of solar-assisted coal-fired units combined with peak load regulation, characterized in that: The following steps are involved: Obtaining a power supply from a power grid, the power supply comprising a solar-assisted coal-fired unit and a new energy power supply system; the solar-assisted coal-fired unit comprising a connected solar thermal module and a heat storage system; constructing a system operation model based on the power supply; the system operation model comprising a new energy operation model and a solar-assisted coal-fired unit operation model; Obtain output parameters of the new energy power supply system and construct a peak load balance model; the peak load balance model includes power supply balance constraints, heat storage system balance constraints and solar heat storage module energy flow balance constraints; Combine the peak load balance model and system operation model to build a scheduling model; Based on the objective function of the scheduling model, the scheduling model is solved and the scheduling strategy is obtained.

2. The method for optimizing the dispatching of solar-assisted coal-fired units combined with peak load regulation according to claim 1, characterized in that: The new energy power supply system includes a wind power system and a photovoltaic system.

3. The method for optimizing the dispatching of solar-assisted coal-fired units combined with peak load regulation according to claim 1, characterized in that: The system operation model includes a unit output constraint model, a unit climbing constraint model and an energy storage system operation constraint model.

4. The method for optimizing the dispatching of solar-assisted coal-fired units combined with peak load regulation according to claim 3, characterized in that: The unit output constraint model is: The unit climbing constraint model is: The energy storage system operation constraint model is: in, represents the output of unit i at time t; is a 0-1 variable indicating the online status of unit i at time t, 1 means online; P i,max and P i,min Respectively represent the upper and lower limits of the output of unit i; ΔP i,max and ΔP i,min Respectively represent the maximum up and down climbing power of unit i, Q solar,max is the maximum heat release power of the heat storage system, The solar energy heat stored in the thermal storage system in period t; is the solar heat output by the thermal storage system in period t.

5. The method for optimizing the dispatching of solar-assisted coal-fired units combined with peak load regulation according to claim 1, characterized in that: The peak load balancing model is: in, are the power generation corresponding to time period t, and are the heat storage of the heat storage system at the end of the tth and t–1th periods, respectively; The solar energy heat stored in the thermal storage system in period t; is the solar heat output by the heat storage system in period t; The heat absorbed by the heat transfer oil in the solar thermal field during the current period; The amount of abandoned light in the solar thermal field in the current period; Provide heat for the unit. is the user's thermal demand at the tth moment; is the maximum output of photovoltaic new energy at the t moment; is the maximum output of wind power at moment t.

6. The method for optimizing the dispatching of solar-assisted coal-fired units combined with peak load regulation according to claim 1, characterized in that: The objective function of the scheduling model is: F1=min(F coal +F o +F Q +F s +F q +F sell ) Among them, F coal is the coal consumption cost; F o F is the operation and maintenance cost; Q is the cost of the heat storage tank; F s Compensation cost for peak load regulation; F q Penalty cost for wind and solar power curtailment; F sell Profits from providing electricity and heat for the units; is the coal consumption of the unit; C is the carbon content in the coal; 3.67 is the ratio of carbon dioxide produced by complete combustion of each unit of carbon.

7. The method for optimizing the dispatching of solar-assisted coal-fired units combined with peak load regulation according to claim 6, characterized in that: The coal consumption cost is: in, for the price of coal; is the coal consumption of the unit at time t; The operation and maintenance costs are: in, and They are the operation and maintenance costs per unit power generation of wind power, photovoltaic power, and solar-coal complementary units; are the power generation corresponding to time period t respectively; The cost of the heat storage tank is: Among them, c1 is the unit initial investment price; Q max is the maximum heat storage capacity; r is the discount rate; Y is the service life of the heat storage tank; The peak load compensation cost is: in, Unit compensation price for the complementary participation of light coal in peak load regulation service; and The minimum output of the basic peak load regulation unit and the output during period t; The penalty cost for wind and solar power abandonment is: in, and are the penalty cost coefficients for wind and solar abandonment, respectively; and is the amount of wind and solar power abandoned in period t; The power generation and heating income of the unit is: in, The electricity price for solar-assisted coal-fired units; and They are the heat prices for the unit and solar heating respectively.

8. The method for optimizing the dispatching of solar-assisted coal-fired units combined with peak load regulation according to claim 1, characterized in that: The scheduling model is solved and calculated by the NSGA-II optimization algorithm.

9. A solar-assisted coal-fired unit optimization scheduling device combined with peak load regulation, characterized in that: include: Running the model unit to obtain power supply from the power grid, wherein the power supply includes a solar-assisted coal-fired unit and a new energy power supply system; The solar-assisted coal-fired unit includes a connected solar thermal module and a heat storage system; a system operation model is constructed based on the power supply; the system operation model includes a new energy operation model and a solar-assisted coal-fired unit operation model; A peak-shaving model unit obtains output parameters of the new energy power supply system and constructs a peak-shaving balance model; the peak-shaving balance model includes power supply balance constraints, heat storage system balance constraints, and solar heat storage module energy flow balance constraints; The scheduling model unit combines the peak load balance model and the system operation model to build a scheduling model; The solving unit solves the scheduling model based on the objective function of the scheduling model to obtain the scheduling strategy.

10. A solar-assisted coal-fired unit optimization dispatching system combined with peak load regulation, characterized in that: It includes a solar-assisted coal-fired unit and a new energy power supply system; the solar-assisted coal-fired unit includes a connected solar thermal module and a heat storage system; The new energy system and the heat storage system are connected to a load together.

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