Production simulation method and device for wind, solar and thermal energy storage base

Abstract

The present application discloses a production simulation method and device for a wind, solar, thermal and storage base, wherein the method comprises: generating a power grid model based on the topological information of the base access power grid, then generating power constraints based on the power operation mode, then generating a production simulation optimization model based on the power grid model and the power constraints, and finally solving and calculating the production simulation optimization model based on a preset objective function to obtain a power operation curve. By obtaining the power operation curve, the present application can guide the power operation of the wind, solar, thermal and storage base according to the power operation curve, thereby saving economic costs, increasing real-time benefits, reducing carbon emissions, and improving the safe operation level of the base.

Description

Technical Field

[0001] The present application relates to the field of smart grids, and in particular to a production simulation method and device for a wind, solar, and thermal energy storage base. Background Art

[0002] A wind, solar, thermal, and energy storage base refers to a large-scale energy complex that integrates wind power generation, photovoltaic power generation, thermal power generation, and energy storage. Controlling the production operations of these bases can reduce carbon emissions, increase real-time revenue, and improve their safe operation. Therefore, it is possible to simulate the production of these bases and, based on the simulation results, implement operational control of these bases. Summary of the Invention

[0003] The present application aims to solve one of the technical problems in the related art at least to a certain extent.

[0004] To this end, the purpose of this application is to reduce the economic cost and carbon emissions of wind, solar and thermal storage bases, improve the real-time benefits and safe operation level of wind, solar and thermal storage bases, and propose a production simulation method for wind, solar and thermal storage bases.

[0005] Another purpose of this application is to propose a production simulation device for a wind, solar and thermal energy storage base.

[0006] To achieve the above objectives, this application proposes a production simulation method for a wind-solar-thermal energy storage base, including:

[0007] Generate a power grid model based on the base access power grid topology information;

[0008] Generate power constraints based on the power operation mode;

[0009] generating a production simulation optimization model according to the power grid model and the power supply constraint conditions;

[0010] Based on a preset objective function, the production simulation optimization model is solved and calculated to obtain a power supply operation curve.

[0011] In a possible implementation, generating a power grid model according to the base access power grid topology information includes:

[0012] Equivalently equate the power grid outside the base to a simplified area;

[0013] generating a power grid model according to the logical connection relationship between the simplified area and the base;

[0014] The power grid model includes the following power constraint formula:

[0015] 0≤P load，t ≤P line，max

[0016] P load，t =P base，t

[0017] Among them, P line，max To simplify the power limit of the regional-base line, P load，t To simplify the power required by regional loads, P base，t is the output power of the base at time t.

[0018] In a possible implementation, generating power constraints according to the power operation mode includes:

[0019] Generate wind turbine power constraints based on wind turbine power operation mode;

[0020] Generate photovoltaic power supply constraints according to the photovoltaic power supply operation mode;

[0021] Generate energy storage power supply constraints according to the energy storage power supply operation mode;

[0022] Generate lighter power constraints based on the lighter power operation mode.

[0023] In a possible implementation, the wind turbine power supply constraint condition includes:

[0024] 0≤P wind，t ≤P wind，max

[0025] 0≤|P wind，t+1 -P wind，t |≤P′ wind

[0026] Among them, P wind，max is the installed power of the wind turbine power supply, P′ wind is the climbing power of the fan power supply, P wind，t is the operating power of the fan power supply at time t, P wind，t+1 is the operating power of the fan power supply at time t+1.

[0027] In a possible implementation, the photovoltaic power supply constraint conditions include:

[0028] 0≤P solar，t ≤P solar，max

[0029] Among them, P solar，max is the installed power of photovoltaic power source, P solar，t is the operating power of the photovoltaic power source at time t.

[0030] In a possible implementation, the energy storage power supply constraint condition includes:

[0031] Psoc，t =SOC t -SOC t-1

[0032] SOC0=SOC n

[0033] SOC min ≤SOC t ≤SOC max

[0034] P min ≤P soc，t ≤P max

[0035] Among them, P soc，t is the charge and discharge power of the energy storage power supply at time t, SOC t is the SOC value of the energy storage power supply at time t, SOC t-1 is the SOC value of the energy storage power supply at time t-1, SOC0 is the SOC value of the energy storage power supply at the initial moment, SOC n is the SOC value at the end of the energy storage power supply, SOC min The maximum discharge depth of the energy storage power supply, SOC max is the maximum charging depth of the energy storage power supply, P min is the minimum charge and discharge power of the energy storage power supply, P max It is the maximum charge and discharge power of the energy storage power supply.

[0036] In a possible implementation, the lighter power supply constraint condition includes:

[0037] If P thermal，t >0

[0038] P thermal，min ≤P thermsl，t ≤P thermal，max

[0039] If P thermal，t >0, and P thermal，t+1 >0

[0040] P thermal，down ≤P thermal，t+1 -P thermal，t ≤P thermal，up

[0041] Among them, P thermal，t is the operating power of the lighter power supply at time t, P thermal，min is the minimum technical output power of the lighter power supply, P thermal，max is the installed power of the lighter power supply, P thermal，down is the downhill climbing power of the lighter power supply, P thermal，up It is the climbing power of the lighter power supply.

[0042] In a possible implementation, the production simulation optimization model includes the following model constraints:

[0043]

[0044] Among them, N is the number of base lighter power sources, M is the number of base wind turbine power sources, P is the number of base photovoltaic power sources, S is the number of base energy storage power sources, P thermal，t is the operating power of the lighter power supply at time t, P wind，t is the operating power of the fan power supply at time t, P solar，t is the operating power of the photovoltaic power source at time t, P base，t is the output power of the base at time t.

[0045] In a possible implementation, the preset objective function includes:

[0046]

[0047]

[0048] Among them, C start is the lighter power supply startup cost, C work，t is the operating cost of the lighter power supply at time t, C end is the cost of shutting down the lighter power supply, C thermal，t is the cost of the lighter power supply at time t.

[0049] To achieve the above objectives, the present application proposes a wind-solar-thermal energy storage base production simulation device, comprising:

[0050] The first generation module is used to generate a power grid model according to the topology information of the base access power grid;

[0051] A second generating module is used to generate power supply constraint conditions according to the power supply operation mode;

[0052] A third generating module is used to generate a production simulation optimization model according to the power grid model and the power supply constraint condition;

[0053] The solution calculation module is used to solve the production simulation optimization model based on a preset objective function to obtain a power supply operation curve.

[0054] Beneficial effects of this application:

[0055] In an embodiment of the present application, a power grid model is generated based on the topological information of the base access power grid, and then power constraints are generated based on the power operation mode. Then, a production simulation optimization model is generated based on the power grid model and the power constraints. Finally, based on a preset objective function, the production simulation optimization model is solved and calculated to obtain a power operation curve. By obtaining the power operation curve, the present application can guide the power operation of the wind, solar, and thermal storage base according to the power operation curve, thereby saving economic costs, increasing real-time benefits, reducing carbon emissions, and improving the safe operation level of the base.

[0056] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0058] Figure 1 Flowchart of a wind-solar-fired storage base production simulation method according to an embodiment of the present application;

[0059] Figure 2 This is a structural schematic diagram of a wind-solar-fired storage base production simulation device according to an embodiment of the present application. DETAILED DESCRIPTION

[0060] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments in this application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0061] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention 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 in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.

[0062] The following describes the wind, solar, and thermal storage base production simulation method and device proposed according to the embodiment of the present application with reference to the accompanying drawings. First, the wind, solar, and thermal storage base production simulation method proposed according to the embodiment of the present application will be described with reference to the accompanying drawings.

[0063] Figure 1 This is a flow chart of a wind-solar-thermal storage base production simulation method according to an embodiment of the present application.

[0064] like Figure 1 As shown, the production simulation method of the wind-solar-thermal storage base includes:

[0065] Step S110: Generate a power grid model based on the topology information of the base access power grid.

[0066] In an embodiment of the present application, the topology information of the power grid to which the base is connected can be obtained, and then a power grid model can be generated based on the topology information of the power grid to which the base is connected. The power grid to which the base is connected can be a provincial power grid, and the power grid model includes the power constraint relationship between the base and the access power grid.

[0067] Step S120: generating power constraint conditions according to the power operation mode.

[0068] In an embodiment of the present application, a power supply operation model may be obtained, wherein the power supply may include a wind turbine power supply, a photovoltaic power supply, a fire extinguisher power supply, and an energy storage power supply. The power supply operation model may then be used to generate power supply constraints.

[0069] It is understandable that operating the power supply according to the power supply constraint conditions can ensure safe and stable power supply operation.

[0070] Step S130: generating a production simulation optimization model based on the power grid model and power supply constraints.

[0071] In the embodiment of the present application, after generating the power grid model and power supply constraints, a production simulation optimization model can be generated based on the power grid model and power supply constraints. It should be noted that the production simulation optimization model can be used to determine the optimal number of wind turbine power sources, photovoltaic power sources, combustion engine power sources, and energy storage power sources to be operated while meeting the base's output power requirements.

[0072] Step S140 : Based on a preset objective function, the production simulation optimization model is solved and calculated to obtain a power supply operation curve.

[0073] In an embodiment of the present application, a preset objective function can be obtained, and the preset objective function can be a cost function based on the economic efficiency of the base. For example, when the marginal cost of operating the wind turbine power supply, photovoltaic power supply, and energy storage power supply is low, the preset objective function can only consider the number of lighter power supplies in operation. After obtaining the preset objective function, the production simulation optimization model can be solved and calculated based on the preset objective function. For example, when the preset objective function only considers the number of lighter power supplies in operation, the production simulation optimization model can be solved and calculated. In this way, by solving and calculating the production simulation optimization model, a power supply operation curve can be obtained. Among them, the power supply operation curve can be the output power of the wind turbine power supply, photovoltaic power supply, lighter power supply, and energy storage power supply at time t.

[0074] In an embodiment of the present application, a power grid model is generated based on the topological information of the base access power grid, and then power constraints are generated based on the power operation mode. Then, a production simulation optimization model is generated based on the power grid model and the power constraints. Finally, based on a preset objective function, the production simulation optimization model is solved and calculated to obtain a power operation curve. By obtaining the power operation curve, the present application can guide the power operation of the wind, solar, and thermal storage base according to the power operation curve, thereby saving economic costs, increasing real-time benefits, reducing carbon emissions, and improving the safe operation level of the base.

[0075] In one possible implementation, generating a power grid model based on the topology information of the base access power grid includes:

[0076] The power grid outside the base is equivalent to a simplified area;

[0077] Generate a power grid model based on the simplified logical connection relationship between regions and bases;

[0078] The power grid model includes the following power constraint formula:

[0079] 0≤P load，t ≤P line，max

[0080] P load，t =P base，t

[0081] Among them, P line，max To simplify the power limit of the regional-base line, P load，t To simplify the power required by regional loads, P base，t is the output power of the base at time t.

[0082] In the embodiment of the present application, the power grid outside the base can be equivalent to a simplified area, and then the power grid model can be generated based on the logical connection relationship between the simplified area and the base. Taking the provincial power grid as an example, the provincial power grid can be equivalent to a simplified area, and the logical connection relationship between the simplified area and the base can be represented by a tie line, which is consistent with the actual power grid operation. It is understandable that the power grid model can include power constraint formulas for the base and the simplified area, as follows:

[0083] 0≤P load，t ≤P line，max

[0084] P load，t =P base，t

[0085] Among them, P line，max To simplify the power limit of the regional-base line, P load，t To simplify the power required by regional loads, P base，tis the output power of the base at time t.

[0086] The power constraint formula shows that the power required by the simplified area load is less than or equal to the power limit of the simplified area-base interconnection line, and the power required by the simplified area load is equal to the base output power. This ensures safe and stable operation of the base by controlling the power of the base and the simplified area.

[0087] In one possible implementation, generating power constraints according to the power operation mode includes:

[0088] Generate wind turbine power constraints based on wind turbine power operation mode;

[0089] Generate photovoltaic power supply constraints according to the photovoltaic power supply operation mode;

[0090] Generate energy storage power supply constraints according to the energy storage power supply operation mode;

[0091] Generate lighter power constraints based on the lighter power operation mode.

[0092] In this embodiment of the present application, considering that the base includes wind turbine power sources, photovoltaic power sources, lighter power sources, and energy storage power sources, constraints corresponding to each power source type can be generated. Specifically, wind turbine power source constraints can be generated based on the wind turbine power source operating mode; photovoltaic power source constraints can be generated based on the photovoltaic power source operating mode; energy storage power source constraints can be generated based on the energy storage power source operating mode; and lighter power source constraints can be generated based on the lighter power source operating mode. In this way, constraints corresponding to each power source type can be generated based on the power source operating model, ensuring the safe and stable operation of each type of power source.

[0093] In a possible implementation, the wind turbine power supply constraint includes:

[0094] 0≤P wind，t ≤P wind，max

[0095] 0≤|P wind，t+1 -P wind，t |≤P′ wind

[0096] Among them, P wind，mmax is the installed power of the wind turbine power supply, P′ wind is the climbing power of the fan power supply, P wind，t is the operating power of the fan power supply at time t, P wind，t+1 is the operating power of the fan power supply at time t+1.

[0097] In the embodiment of the present application, the wind turbine power supply constraint condition may be:

[0098] 0≤P wind，t ≤P wind，max

[0099] 0≤|P wind，t+1 -P wind，t |≤P′ wind

[0100] Among them, P wind，max is the installed power of the wind turbine power supply, P′ wind is the climbing power of the fan power supply, P wind，t is the operating power of the fan power supply at time t, P wind，t+1 is the operating power of the fan power supply at time t+1.

[0101] The fan power constraints indicate that the fan power at time t should be less than or equal to its installed power, and the absolute difference between the fan power at time t and the fan power at time t+1 should be less than or equal to its ramp power. This allows the fan power constraints to be used to constrain its operation, ensuring safe and stable operation.

[0102] In a possible implementation, photovoltaic power supply constraints include:

[0103] 0≤P solar，t ≤P solar，max

[0104] Among them, P solar，max is the installed power of photovoltaic power source, P solar，t is the operating power of the photovoltaic power source at time t.

[0105] In the embodiment of the present application, the photovoltaic power supply constraint condition may be:

[0106] 0≤P solar，t ≤P solar，max

[0107] Among them, P solar，max is the installed power of photovoltaic power source, P solar，t is the operating power of the photovoltaic power source at time t.

[0108] The PV power supply constraints indicate that the operating power of the PV power supply at time t must be less than or equal to the installed power of the PV power supply. This allows the PV power supply's operation to be constrained based on the constraints, ensuring its safe and stable operation.

[0109] In a possible implementation, the energy storage power supply constraint conditions include:

[0110] P soc，t =SOCt -SOC t-1

[0111] SOC0=SOC n

[0112] SOC min ≤SOC t ≤SOC max

[0113] P min ≤P soc，t ≤P max

[0114] Among them, P soc，t is the charge and discharge power of the energy storage power supply at time t, SOC t is the SOC value of the energy storage power supply at time t, SOC t-1 is the SOC value of the energy storage power supply at time t-1, SOC0 is the SOC value of the energy storage power supply at the initial moment, SOC n is the SOC value at the end of the energy storage power supply, SOC min The maximum discharge depth of the energy storage power supply, SOC max is the maximum charging depth of the energy storage power supply, P min is the minimum charge and discharge power of the energy storage power supply, P max It is the maximum charge and discharge power of the energy storage power supply.

[0115] In the embodiment of the present application, the energy storage power supply constraint condition may be:

[0116] P soc，t =SOC t -SOC t-1

[0117] SOC0=SOC n

[0118] SOC min ≤SOC t ≤SOC max

[0119] P min ≤P soc，t ≤P max

[0120] Among them, P soc，t is the charge and discharge power of the energy storage power supply at time t, SOC t is the SOC value of the energy storage power supply at time t, SOC t-1 is the SOC value of the energy storage power supply at time t-1, SOC0 is the SOC value of the energy storage power supply at the initial moment, SOC n is the SOC value at the end of the energy storage power supply, SOC minThe maximum discharge depth of the energy storage power supply, SOC max is the maximum charging depth of the energy storage power supply, P min is the minimum charge and discharge power of the energy storage power supply, P max It is the maximum charge and discharge power of the energy storage power supply.

[0121] The energy storage power supply constraints show that the charge and discharge power of the energy storage power supply at time t is equal to the SOC value (State of Charge) of the energy storage power supply at time t minus the SOC value of the energy storage power supply at time t-1. The energy storage power supply's initial SOC value must be equal to the energy storage power supply's SOC value at the end time. The energy storage power supply's SOC value at time t should be greater than or equal to the energy storage power supply's maximum depth of discharge and less than or equal to the energy storage power supply's maximum depth of charge. The energy storage power supply's charge and discharge power at time t should be greater than or equal to the energy storage power supply's minimum charge and discharge power and less than or equal to the energy storage power supply's maximum charge and discharge power. In this way, the energy storage power supply's operation can be constrained based on the energy storage power supply constraints, thereby ensuring its safe and stable operation.

[0122] In one possible implementation, the lighter power supply constraints include:

[0123] If P thermal，t >0

[0124] P thermal，min ≤P thermal，t ≤P thermal，max

[0125] If P thermal，t >0, and P thermal，t+1 >0

[0126] P thermal，down ≤P thermal，t＋1 -P thermal，t ≤P thermal，up

[0127] Among them, P thermal，t is the operating power of the lighter power supply at time t, P thermal，min is the minimum technical output power of the lighter power supply, P thermal，max is the installed power of the lighter power supply, P thermal，down is the downhill climbing power of the lighter power supply, P thermal，up It is the climbing power of the lighter power supply.

[0128] In the embodiment of the present application, the lighter power supply constraint condition may be:

[0129] If P thermal，t >0

[0130] P thermal，min ≤P thermal，t ≤P thermal，max

[0131] If P thermal，t >0, and P thermal，t+1 >0

[0132] P thermal，down ≤P thermal，t+1 -P thermal，t ≤P thermal，up

[0133] Among them, P thermal，t is the operating power of the lighter power supply at time t, P thermal，min is the minimum technical output power of the lighter power supply, P thermal，max is the installed power of the lighter power supply, P thermal，down is the downhill climbing power of the lighter power supply, P thermal，up It is the climbing power of the lighter power supply.

[0134] The lighter power constraints indicate that if the lighter power at time t is greater than 0, the lighter power at that time should be greater than or equal to the lighter power's minimum technical output and less than or equal to the lighter power's installed power. Furthermore, if the lighter power at time t is greater than 0 and the lighter power at time t+1 is greater than 0, the difference between the lighter power at time t+1 and the lighter power at time t should be greater than or equal to the lighter power's down-ramp power and less than or equal to the lighter power's up-ramp power. In this way, the lighter power constraints can be used to constrain its operation, ensuring safe and stable operation.

[0135] In one possible implementation, the production simulation optimization model includes the following model constraints:

[0136]

[0137] Among them, N is the number of base lighter power sources, M is the number of base wind turbine power sources, P is the number of base photovoltaic power sources, S is the number of base energy storage power sources, P thermal，t is the operating power of the lighter power supply at time t, P wind，t is the operating power of the fan power supply at time t, P solar，t is the operating power of the photovoltaic power source at time t, P base，t is the output power of the base at time t.

[0138] In an embodiment of the present application, the production simulation optimization model may include model constraints, as shown in the following formula:

[0139]

[0140] Among them, N is the number of base lighter power sources, M is the number of base wind turbine power sources, P is the number of base photovoltaic power sources, S is the number of base energy storage power sources, P thermal，t is the operating power of the lighter power supply at time t, P wind，t is the operating power of the fan power supply at time t, P solar，t is the operating power of the photovoltaic power source at time t, P base，t is the output power of the base at time t.

[0141] The model constraints show that the base's output power at time t is equal to the sum of the operating power of the base's N gas generators, M wind turbines, and P photovoltaic units at that time, minus the operating power of the base's S energy storage units at that time. In other words, the base exports electricity while meeting its energy storage needs. This allows the model constraints to constrain base operations, monitor the base's output power in real time, and ensure reliable operation.

[0142] In a possible implementation, the preset objective function includes:

[0143]

[0144]

[0145] Among them, C start is the lighter power supply startup cost, C work，t is the operating cost of the lighter power supply at time t, C end is the cost of shutting down the lighter power supply, C thermal，t is the cost of the lighter power supply at time t.

[0146] In the embodiment of the present application, since the marginal cost of wind turbine power supply, photovoltaic power supply and energy storage power supply is relatively low, the preset objective function can only consider the cost of the lighter power supply. The preset objective function can be as follows:

[0147]

[0148]

[0149] Among them, C start is the lighter power supply startup cost, C work，t is the operating cost of the lighter power supply at time t, C end is the cost of shutting down the lighter power supply, C thermal，t is the cost of the lighter power supply at time t.

[0150] The preset objective function shows that the startup cost, operating cost, and shutdown cost of the lighter power supply can be determined based on the operating power of the lighter power supply at time t and time t+1, respectively. This allows the lighter power supply cost at time t to be determined, and the objective function for minimizing the lighter power supply cost can be set based on the number of lighter power supplies and operating time. In this way, the preset objective function can be used to minimize the lighter power supply cost, thereby minimizing the base operating cost, thereby saving economic costs, increasing real-time revenue, and reducing carbon emissions.

[0151] In order to implement the above embodiment, Figure 2 As shown, this embodiment also provides a wind, solar, thermal and energy storage base production simulation device 200, which includes: a first generation module 210, a second generation module 220, a third generation module 230, and a solution calculation module 240.

[0152] A first generating module 210 is configured to generate a power grid model according to the topology information of the base access power grid;

[0153] A second generating module 220 is configured to generate power constraints according to the power operation mode;

[0154] The third generation module 230 is used to generate a production simulation optimization model based on the power grid model and power supply constraints;

[0155] The solution calculation module 240 is used to solve the production simulation optimization model based on a preset objective function to obtain a power supply operation curve.

[0156] According to the wind, solar, thermal and storage base production simulation device of the embodiment of the present application, the first generation module is used to generate a power grid model based on the base access power grid topology information; the second generation module is used to generate power constraints based on the power operation mode; the third generation module is used to generate a production simulation optimization model based on the power grid model and the power constraints; the solution calculation module is used to solve the production simulation optimization model based on a preset objective function to obtain a power operation curve. By obtaining the power operation curve, the present application can guide the power operation of the wind, solar, thermal and storage base according to the power operation curve, thereby saving economic costs, increasing real-time benefits, reducing carbon emissions, and improving the safe operation level of the base.

[0157] It should be noted that the above explanation of the embodiment of the wind, solar, thermal and storage base production simulation method is also applicable to the wind, solar, thermal and storage base production simulation device of this embodiment, and will not be repeated here.

[0158] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of such features. Throughout the description of this application, "plurality" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0159] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", 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 application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0160] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A production simulation method for a wind, solar, and thermal energy storage base, characterized in that: include: Generate a power grid model based on the base access power grid topology information; Generate power constraints based on the power operation mode; generating a production simulation optimization model according to the power grid model and the power supply constraint conditions; Based on the preset objective function, the production simulation optimization model is solved and calculated to obtain the power supply operation curve Generating power constraints according to the power operation mode includes: Generate wind turbine power constraints based on wind turbine power operation mode; Generate photovoltaic power supply constraints according to the photovoltaic power supply operation mode; Generate energy storage power supply constraints according to the energy storage power supply operation mode; Generate lighter power constraints based on the lighter power operation mode; It is characterized in that the wind turbine power supply constraint conditions include: 0≤P wind，t ≤P wind，max 0≤|P wind，t+1 -P wind，t |≤P′ wind Among them, P wind，max is the installed power of the wind turbine power supply, P′ wind is the climbing power of the fan power supply, P wind，t is the operating power of the fan power supply at time t, P wind，t+1 is the operating power of the fan power supply at time t+1; The photovoltaic power supply constraints include: 0≤P solar，t ≤P solar，max Among them, P solar，max is the installed power of photovoltaic power source, P solar，t is the operating power of the photovoltaic power source at time t; The energy storage power supply constraints include: P soc，t =SOC t -SOC t-1 SOC0=SOC n SOC min ≤SOC t ≤SOC max P min ≤P soc，t ≤P max Among them, P soc，t is the charge and discharge power of the energy storage power supply at time t, SOC t is the SOC value of the energy storage power supply at time t, SOC t-1 is the SOC value of the energy storage power supply at time t-1, SOC0 is the SOC value of the energy storage power supply at the initial moment, SOC n is the SOC value of the energy storage power supply at the end time, SOC min The maximum discharge depth of the energy storage power supply, SOC max is the maximum charging depth of the energy storage power supply, P min is the minimum charge and discharge power of the energy storage power supply, P max is the maximum charge and discharge power of the energy storage power supply; The lighter power supply constraints include: If P thermal，t >0 P thermal，min ≤P thermal，t ≤P thermal，max If P thermal，t >0, and P thermal，t+1 >0 P thermal，down ≤P thermal，t+1 -P thermal，t ≤P thermal，up Among them, P thermal，t is the operating power of the lighter power supply at time t, P thermal，min is the minimum technical output power of the lighter power supply, P thermal，max is the installed power of the lighter power supply, P thermal，down is the downhill climbing power of the lighter power supply, P thermal，up It is the climbing power of the lighter power supply.

2. The wind-solar-fired energy storage base production simulation method according to claim 1, characterized in that: The generating of the grid model according to the topological information of the base access grid includes: Equivalently equate the power grid outside the base to a simplified area; generating a power grid model according to the logical connection relationship between the simplified area and the base; The power grid model includes the following power constraint formula: 0≤P load，t ≤P line，max P load，t =P base，t Among them, P line，max To simplify the power limit of the regional-base line, P load，t To simplify the power required by regional loads, P base，t is the output power of the base at time t.

3. The wind-solar-fired energy storage base production simulation method according to claim 1, characterized in that: The production simulation optimization model includes the following model constraints: Among them, N is the number of base lighter power sources, M is the number of base wind turbine power sources, P is the number of base photovoltaic power sources, S is the number of base energy storage power sources, P thermal，t is the operating power of the lighter power supply at time t, P wind，t is the operating power of the fan power supply at time t, P solar，t is the operating power of the photovoltaic power source at time t, P base，t is the output power of the base at time t.

4. The wind-solar-fired energy storage base production simulation method according to claim 1, characterized in that: The preset objective function includes: Among them, C start is the lighter power supply startup cost, C work，t is the operating cost of the lighter power supply at time t, C end is the cost of shutting down the lighter power supply, C thermal，t is the cost of the lighter power supply at time t.

5. A wind, solar and thermal energy storage base production simulation device, characterized in that: include: The first generation module is used to generate a power grid model according to the topology information of the base access power grid; A second generating module is used to generate power supply constraint conditions according to the power supply operation mode; A third generating module is used to generate a production simulation optimization model according to the power grid model and the power supply constraint condition; A solution calculation module, used to solve and calculate the production simulation optimization model based on a preset objective function to obtain a power supply operation curve; Generating power constraints according to the power operation mode includes: Generate wind turbine power constraints based on wind turbine power operation mode; Generate photovoltaic power supply constraints according to the photovoltaic power supply operation mode; Generate energy storage power supply constraints according to the energy storage power supply operation mode; Generate lighter power constraints based on the lighter power operation mode; It is characterized in that the wind turbine power supply constraint conditions include: 0≤P wind，t ≤P wind，max 0≤|P wind，t+1 -P wind，t |≤P′ wind Among them, P wind，max is the installed power of the wind turbine power supply, P′ wind is the climbing power of the fan power supply, P wind，t is the operating power of the fan power supply at time t, P wind，t+1 is the operating power of the fan power supply at time t+1; The photovoltaic power supply constraints include: 0≤P solar，t ≤P solar，max Among them, P solar，max is the installed power of photovoltaic power source, P solar，t is the operating power of the photovoltaic power source at time t; The energy storage power supply constraints include: P soc，t =SOC t -SOC t-1 SOC0=SOC n SOC min ≤SOC t ≤SOC max P min ≤P soc，t ≤P max Among them, P soc，t is the charge and discharge power of the energy storage power supply at time t, SOC t is the SOC value of the energy storage power supply at time t, SOC t-1 is the SOC value of the energy storage power supply at time t-1, SOC0 is the SOC value of the energy storage power supply at the initial moment, SOC n is the SOC value of the energy storage power supply at the end time, SOC min The maximum discharge depth of the energy storage power supply, SOC max is the maximum charging depth of the energy storage power supply, P min is the minimum charge and discharge power of the energy storage power supply, P max is the maximum charge and discharge power of the energy storage power supply; The lighter power supply constraints include: If P thermal，t >0 P thermal，min ≤P thermal，t ≤P thermal，max If P thermal，t >0, and P thermal，t+1 >0 P thermal，down ≤P thermal，t+1 -P thermal，t ≤P thermal，up Among them, P thermal，t is the operating power of the lighter power supply at time t, P thermal，min is the minimum technical output power of the lighter power supply, P thermal，max is the installed power of the lighter power supply, P thermal，down is the downhill climbing power of the lighter power supply, P thermal，up It is the climbing power of the lighter power supply.

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