A method, system and readable medium for optimal operation of a power grid containing wind, solar, hydro and storage

Abstract

This invention belongs to the field of power grid operation technology, and relates to a method, system, and readable medium for optimizing the operation of a power grid including wind, solar, hydro, and storage systems. The method includes the following steps: analyzing the complementary characteristics of the wind-solar-hydro-storage system based on seasonal characteristics; formulating an operation strategy for the wind-solar-hydro-storage system during the dry season based on the complementary characteristics; establishing an optimized operation model for the wind-solar-hydro-storage system based on the dry season operation strategy and the actual operating characteristics of the hydropower station; and optimizing the power grid operation process including wind, solar, hydro, and storage systems based on the optimized operation model. This reduces the impact of uncertainties in wind and solar resources on the power grid, standardizes the stochastic behavior of the source and load sides, and improves the economic efficiency of power grid operation.

Description

Technical Field

[0001] This invention relates to a method, system, and readable medium for optimizing the operation of a power grid, which includes wind, solar, hydro, and storage systems, and belongs to the field of power grid operation technology. Background Technology

[0002] With social development, the research and application of new clean energy sources such as wind and solar power are becoming increasingly widespread, and they have broad development prospects. However, with the rapid growth of the installed capacity of new energy sources, the volatility and intermittency of their output have brought great challenges to the safe operation of the power grid. Wind power, photovoltaic power, and hydropower have natural spatiotemporal complementary characteristics, which can make up for the shortcomings of single energy source operation on the grid.

[0003] However, wind and solar power resources are characterized by high randomness and intermittency. This volatility can cause numerous problems for system scheduling and operation. While hydropower has low unit costs, it is also highly susceptible to seasonal fluctuations. Traditional hydropower stations release a certain volume of water daily during the dry season to generate electricity in order to maintain stable downstream water levels, paying little attention to optimized hydropower operation and failing to make reasonable operational scheduling arrangements based on the specific characteristics of wind, solar, and hydropower resources. Summary of the Invention

[0004] To address the aforementioned problems, the present invention aims to provide a method, system, and readable medium for optimizing the operation of a power grid that incorporates wind, solar, hydro, and storage technologies. This reduces the impact of uncertainties in wind and solar resources on the power grid, regulates the stochastic behavior of the source and load sides, and improves the economic efficiency of power grid operation.

[0005] To achieve the above objectives, the present invention proposes the following technical solution: a method for optimizing the operation of a power grid including wind, solar, hydro, and storage systems, comprising the following steps: analyzing the complementary characteristics of the wind-solar-hydro-storage system based on seasonal characteristics; formulating an operation strategy for the wind-solar-hydro-storage system during the dry season based on the complementary characteristics of the wind-solar-hydro-storage system; establishing an optimized operation model for the wind-solar-hydro-storage system based on the operation strategy for the wind-solar-hydro-storage system during the dry season and in conjunction with the actual operating characteristics of the hydropower station; and optimizing the operation process of the power grid including wind, solar, hydro, and storage systems based on the optimized operation model.

[0006] Furthermore, the complementary features of the wind-solar-hydro-storage system are as follows: in winter when wind power is high, wind and solar combined energy storage is used to ensure the power supply of the basic load, while hydropower is used to adjust the load curve of the power grid; in summer when wind power is low, hydropower is used first to ensure the power supply of the basic load, while wind, solar and energy storage are used to ensure the power supply of peak load.

[0007] Furthermore, the method for generating the operation strategy of the wind-solar-hydro-storage system during the dry season is as follows: based on the weekly load curve... P L Weekly wind power output curve P WTWeekly photovoltaic power output curve P PV This forms the equivalent load curve for the week. P EL The equivalent load curve within the week P EL The portion less than zero is used to charge the battery energy storage system; when the required power exceeds the maximum charging power... P c,max If wind and solar power curtailment occurs, then wind and solar power curtailment operations will be carried out; the equivalent load curve within the specified week... P EL The portion greater than zero is used to determine the hydropower generation capacity. P HP Maximum discharge power of battery energy storage system P d,max Whether the sum is greater than the daily average equivalent load for the corresponding time, an operation strategy for the wind-solar-hydro-storage system during the dry season is generated based on the judgment result.

[0008] Furthermore, the operating strategy for the wind-solar-hydro-storage system during the dry season is as follows: if the hydropower generation capacity is... P HP Maximum discharge power of battery energy storage system P d,max If the sum of these values ​​is greater than the daily average equivalent load for the corresponding time, then the battery energy storage system will be calculated according to (…). P EL -P HP Discharge; if the hydropower generation capacity is... P HP Maximum discharge power of battery energy storage system P d,max If the sum of the loads is less than the daily average equivalent load for the corresponding time, then load shedding operations need to be performed on the wind, solar, hydro, and storage system.

[0009] Furthermore, the intra-week equivalent load curve P EL The calculation formula is:

[0010]

[0011] in, yes t Equivalent load at any time; yes t Weekly load; yes t Wind power output during the week; yes t Photovoltaic output during the week; α is a correction coefficient reflecting the dispatcher's degree of acceptance of the forecast results.

[0012] Furthermore, the optimized operation model of the wind-solar-hydro-storage system is as follows:

[0013]

[0014] in, It is the objective function, min f The target function is the minimum value required, which is the optimal operation scheme of the wind-solar-hydro-storage system; T is the operation scheduling cycle, which is set to 168 hours (one week) in this invention, and the optimization scheduling is carried out in hourly units. Q t yes t Water consumption at any given time; Q P This is the estimated water consumption for the month. K It is a penalty factor; P t shedding yes t Load shedding at any given time; yes t Load during the week.

[0015] Furthermore, the constraints of the optimized operation model of the wind-solar-hydro-storage system are as follows: the power balance constraint is:

[0016]

[0017] in, , and These are the equivalent load, hydropower output, and energy storage charging and discharging during time period t, respectively. yes t Load shedding at any given time; N HP It refers to the amount of hydropower; N BESS It's the amount of energy stored. It refers to the power of wind and solar power curtailment; the water balance constraint is:

[0018]

[0019] in, yes t Inbound flow at time -1; V t-1 yes t Storage capacity at time -1; yes t Storage capacity at any given time; Q t-1 yes t Water flow rate at time -1; the charging and discharging power constraints of the battery energy storage system are:

[0020]

[0021] in, It is energy storage charging and discharging. That is the maximum charging power. This is the minimum charging power. It is the minimum discharge power. This is the maximum discharge power; the capacity constraints of the battery energy storage system are:

[0022]

[0023] in, It refers to the capacity of the battery energy storage system. It is the minimum capacity of a battery energy storage system; It is the maximum capacity of the battery energy storage system.

[0024] Furthermore, the formula for calculating the capacity of the battery energy storage system is as follows:

[0025]

[0026] in, It is the capacity of the battery energy storage system at time t. σ It is the self-discharge rate of the battery energy storage system. P t BESS It is the charging and discharging power during time period t. η It refers to charge / discharge efficiency.

[0027] This invention also discloses a power grid optimization operation system incorporating wind, solar, hydro, and storage systems, comprising: a complementary feature analysis module for analyzing the complementary features of the wind, solar, hydro, and storage systems based on seasonal characteristics; an operation strategy formulation module for formulating an operation strategy for the wind, solar, hydro, and storage systems during the dry season based on the complementary features of the wind, solar, hydro, and storage systems; a model building module for establishing an optimized operation model for the wind, solar, hydro, and storage systems based on the operation strategy for the wind, solar, hydro, and storage systems during the dry season and in conjunction with the actual operation characteristics of the hydropower station; and an optimized operation module for optimizing the power grid operation process incorporating wind, solar, hydro, and storage systems based on the optimized operation model.

[0028] The present invention also discloses a computer-readable storage medium storing a computer program, which is executed by a processor to implement the above-mentioned method for optimizing the operation of a power grid including wind, solar, hydro, and storage.

[0029] The present invention has the following advantages due to the adoption of the above technical solutions: The present invention constructs a medium- and long-term operation strategy for wind-solar-hydro-storage power grid suitable for the dry season, and establishes an optimized operation model with the goal of minimizing the operating water consumption and monthly planned water consumption, thereby reducing the impact of the uncertainty of wind and solar resources on the power grid, standardizing the random behavior of the source and load sides, and improving the economic efficiency of power grid operation. Attached Figure Description

[0030] Figure 1 This is a flowchart of a power grid optimization operation method incorporating wind, solar, hydro, and storage in one embodiment of the present invention;

[0031] Figure 2 This is a schematic diagram of the weekly load curve and the weekly equivalent load curve in one embodiment of the present invention, wherein the lighter-colored line at the top of the diagram is the weekly load curve, and the darker-colored line at the bottom of the diagram is the weekly equivalent load curve.

[0032] Figure 3 Figure 1 shows the average wind power, photovoltaic power, and load curves of a reservoir in one embodiment of the present invention. Figure 2(a) shows the first week; Figure 3(b) shows the second week; Figure 4(c) shows the third week; and Figure 5(d) shows the fourth week. In Figure 2(a), the average inflow rate of the reservoir is 3.5 m³ / s. 3 / s; the average inflow rate of the reservoir in Figure (b) is 4.4 m³ / s. 3 / s; the average inflow rate of the reservoir in Figure (c) is 3.9 m³ / s. 3 / s; the average inflow rate of the reservoir in Figure (d) is 4.2 m³ / s. 3 / s;

[0033] Figure 4 Figure (a) shows the output power of a power grid system including wind, solar, hydro, and storage systems after applying the optimization method of this invention within one month. Figure (b) shows the first week; Figure (c) shows the second week; Figure (d) shows the third week; and Figure (d) shows the fourth week.

[0034] Figure 5 This is a comparison diagram of hydropower operation schemes before and after power grid optimization in one embodiment of the present invention. Detailed Implementation

[0035] To enable those skilled in the art to better understand the technical solutions of the present invention, the present invention is described in detail through specific embodiments. However, it should be understood that the specific embodiments are provided only for a better understanding of the present invention and should not be construed as limiting the present invention. In the description of the present invention, it should be understood that the terminology used is for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0036] To address the problems of traditional hydropower stations releasing a certain volume of water daily during the dry season to maintain downstream water level stability, neglecting optimized hydropower operation, and failing to consider the specific characteristics of wind, solar, and hydropower resources for reasonable operation scheduling, this invention proposes a grid optimization operation method, system, and readable medium incorporating wind, solar, hydro, and storage. It addresses the seasonal characteristics of hydropower and the diurnal fluctuations of wind and solar power generation by constructing a medium- to long-term operation strategy suitable for the dry season. An optimized operation model is established with the goal of minimizing both operational and planned monthly water consumption, reducing the impact of wind and solar resource uncertainties on the grid, standardizing the stochastic behavior of the source and load sides, and improving the economic efficiency of grid operation. The invention will be described in detail below with reference to the accompanying drawings and embodiments.

[0037] Example 1:

[0038] This embodiment discloses a method for optimizing the operation of a power grid including wind, solar, hydro, and storage systems, comprising the following steps:

[0039] S1 analyzes the complementary characteristics of wind, solar, hydro, and storage systems based on seasonal characteristics.

[0040] Unlike wind and solar power, which are characterized by uncontrollable randomness and volatility, the water holding capacity of reservoirs can smooth out short-term fluctuations in flow, thus giving hydropower good capacity characteristics.

[0041] Therefore, the complementary characteristics of wind, solar, hydro, and energy storage systems are as follows: During the winter when wind power is high, hydropower is in its dry season and solar intensity is also low. At this time, in order to ensure that the reservoir water level does not fall below the dead water level before the end of the dry season, it is not advisable to use hydropower on a large scale. Instead, wind and solar combined energy storage should be used to ensure the power supply of the basic load, while hydropower is used to regulate the peak load curve of the power grid. During the summer when wind power is low, hydropower is in its high water season. In order to ensure that the reservoir does not exceed the flood control high water level and that its power supply is more reliable than wind and solar, hydropower should be used first to ensure the power supply of the basic load, while wind, solar, and energy storage are used to ensure the power supply of peak load.

[0042] Based on the complementary characteristics of wind, solar, hydro, and storage systems, S2 formulates operational strategies for wind, solar, hydro, and storage systems during the dry season.

[0043] In this embodiment, a month is selected as the operation decision cycle for the wind, solar, hydro, and storage system. To ensure the production safety of downstream fisheries and agriculture, a week is selected as the operation scheduling cycle for hydropower. That is, the hydropower operation arrangements for four weeks must match the hydropower scheduling plan for the corresponding month.

[0044] The method for generating the operation strategy of the wind-solar-hydro-storage system during the dry season is as follows:

[0045] S2.1 When performing optimization calculations on the operating positions of each power source, it first considers the week-end load curve. P LWeekly wind power output curve P WT Weekly photovoltaic power output curve P PV This forms the equivalent load curve for the week. P EL ;

[0046] S2.2 then appears in the equivalent load curve during the week. P EL The portion less than zero, at maximum charging power P c,max Under constraints, when charging the battery energy storage system, the required electrical power exceeds the maximum charging power. P c,max If so, then wind and solar power curtailment operations will be carried out;

[0047] S2.3 Equivalent load curve during the week P EL The portion greater than zero is used to determine the hydropower generation capacity. P HP Maximum discharge power of battery energy storage system P d,max Whether the sum of these values ​​exceeds the daily average equivalent load for the corresponding time period is used to generate an operation strategy for the wind-solar-hydro-storage system during the dry season. The dry season operation strategy for the wind-solar-hydro-storage system is as follows: if the hydropower generation capacity... P HP Maximum discharge power of battery energy storage system P d,max If the sum of these values ​​is greater than the daily average equivalent load for the corresponding time, then the battery energy storage system will be calculated according to (…). P EL -P HP Discharge; if the hydropower generation capacity is... P HP Maximum discharge power of battery energy storage system P d,max If the sum of the loads is less than the daily average equivalent load for the corresponding time period, then load shedding is required for the wind-solar-hydro-storage system. The formula for calculating the load shedding is:

[0048] in, It is to remove the load. This is the maximum discharge power. During the normal operation of an independent power grid, load shedding should be avoided as much as possible.

[0049] In reality, significant deviations in power generation forecasts can lead to a substantial discrepancy between the actual hydropower generation at the end of the month and the planned output. In particular, if wind and solar power generation falls short of expectations, hydropower may prematurely deplete its planned water usage, and energy storage may remain at low capacity, ultimately resulting in load shedding.

[0050] To simplify forecasting bias, the forecasting errors for wind and solar power are described uniformly, i.e., the equivalent load curve is selected as the basis for operational decisions. When performing optimized operation calculations, a correction coefficient α can be added to the equivalent load curve to reflect the dispatcher's level of acceptance of the forecast result. Weekly equivalent load curve. P EL The calculation formula is:

[0051]

[0052] in, yes t Equivalent load at any time; yes t Weekly load; yes t Wind power output during the week; yes t Photovoltaic output during the week; α is a correction coefficient reflecting the dispatcher's acceptance of the forecast results. When α When <1, it indicates that the dispatchers believe the overall forecast result is too high; when α A value greater than 1 indicates that the dispatchers believe the overall forecast result is too low.

[0053] Based on the operation strategy of wind-solar-hydro-storage system during the dry season and combined with the actual operation characteristics of hydropower stations, S3 establishes an optimized operation model for wind-solar-hydro-storage system.

[0054] To ensure the safety of downstream fisheries and agriculture, the objective function should be established with the goal of minimizing the difference between the monthly operating water consumption of the hydropower station and the monthly scheduled water consumption. Furthermore, to minimize the occurrence of load shedding, the time periods during which load shedding occurs should be included as a penalty function in the objective function. The optimized operation model for the wind-solar-hydro-storage system is as follows:

[0055]

[0056] in, It is the objective function, min f The target function is the minimum value required, which is the optimal operation scheme of the wind-solar-hydro-storage system; T is the operation scheduling cycle, which is set to 168 hours (one week) in this invention, and the optimization scheduling is carried out in hourly units. Q t yest Water consumption at any given time; Q P This is the estimated water consumption for the month. K It is a penalty factor; P t shedding yes t Load shedding at any given time; yes t Load during the week.

[0057] The constraints of the optimized operation model for wind-solar-hydro-storage systems are: The power balance constraints are:

[0058]

[0059] in, P t EL , and These are the equivalent load, hydropower output, and energy storage charging and discharging during time period t, respectively. P t shedding yes t Load shedding at any given time; N HP It refers to the amount of hydropower; N BESS It's the amount of energy stored. It refers to the power of wind and solar power curtailment; the water balance constraint is:

[0060]

[0061] in, yes t Inbound flow at time -1; V t-1 yes t Storage capacity at time -1; yes t Storage capacity at any given time; Q t-1 yes t Water flow rate at time -1; the charging and discharging power constraints of the battery energy storage system are:

[0062]

[0063] in, It is energy storage charging and discharging. That is the maximum charging power. This is the minimum charging power. It is the minimum discharge power. This is the maximum discharge power; the capacity constraints of the battery energy storage system are:

[0064]

[0065] in, It refers to the capacity of the battery energy storage system. It is the minimum capacity of a battery energy storage system; It is the maximum capacity of the battery energy storage system.

[0066] Furthermore, the formula for calculating the capacity of a battery energy storage system is as follows:

[0067]

[0068] in, It is the capacity of the battery energy storage system at time t. σ It is the self-discharge rate of the battery energy storage system. P t BESS It is the charging and discharging power during time period t. η It is the charge / discharge efficiency, which is generally a fixed value of 0.95.

[0069] S4 optimizes the operation of power grids containing wind, solar, hydro, and storage systems based on the optimized operation model of wind, solar, hydro, and storage systems.

[0070] To verify the proposed power grid optimization operation direction in this embodiment, a hydropower station optimization project integrating wind, solar, hydro, and storage was selected for a case study. This project is equipped with a 10MW wind power system, a 5MW photovoltaic power system, a 12MWh energy storage system, and a 10MW hydropower system. The maximum charging power of the energy storage is 2MW, and the maximum discharging power is 4MW. This hydropower station is a regulating hydropower station, with a dead water level of 30m and a corresponding reservoir capacity of 0.7 × 10⁻⁶ m. 7 m 3 The normal water level is 60m, and the corresponding reservoir capacity is 2×10. 7 m 3

[0071] Based on the predicted daily average wind, solar, and load curves for the month, wind power generation is estimated at approximately 4040 MWh, solar power generation at approximately 861 MWh, and load at approximately 5745 MWh. The average inflow for the month is 4 m³ / s. 3 / s, the water level at the beginning of the month was 55.54m, and the estimated water consumption for hydropower scheduling is 1.05×10 7 m 3 The revised weekly average wind, solar, and load curves for November are as follows: Figure 3 As shown: In Figure (a), the average inflow rate of the reservoir is 3.5 m³ / s. 3 / s; the average inflow rate of the reservoir in Figure (b) is 4.4 m³ / s. 3 / s; the average inflow rate of the reservoir in Figure (c) is 3.9 m³ / s. 3 / s; the average inflow rate of the reservoir in Figure (d) is 4.2 m³ / s. 3 / s.

[0072] like Figure 4 As shown in the figure, optimized calculations show that the total monthly water consumption of a hydropower station including wind, solar, water, and storage, under the constraints, is 1.032 × 10⁻⁶. 7 m 3 The capacity of the energy storage system fluctuates very little during the day: 1.71% on the first day, 1.42% on the second day, 1.41% on the third day, and 0% on the fourth day. In fact, the smaller the capacity fluctuation of the energy storage system, the more the monthly electricity shortage is supplemented by hydropower, making the optimized water consumption closer to the expected monthly dispatch amount.

[0073] In the first week, due to the large output of wind and solar power, and the ability of energy storage to adjust peak and valley loads through charging and discharging, hydropower stations were not needed to generate electricity. In fact, due to the limited charging capacity of energy storage, 1.45 MWh of wind power was wasted.

[0074] The situations in the second and third weeks were quite similar. From the perspective of the equivalent load curve, hydropower mainly supplemented the peak load portion. In the second week, hydropower provided an average of 44.93 MWh of electricity per day, and in the third week, it provided an average of 47.76 MWh per day. Wind power output at night basically met the nighttime load demand, so the energy storage system did not engage in significant charging activities to obtain electricity. However, during the day, the load shortfall was less than the minimum output of hydropower (0.5 MW), requiring the energy storage system to discharge. Excessive discharge would lead to large fluctuations in the capacity of the energy storage system throughout the day. Therefore, to ensure a balance between charging and discharging during the day, the hydropower station generated more electricity at certain times to charge the energy storage system, such as from 6 to 8 am in the second week and 8 am in the third week.

[0075] In the fourth week, wind and solar power output was relatively sufficient, with energy storage charging and discharging primarily making up for the small load gaps at night and in the morning. When the load gap was larger in the afternoon, hydropower stations generated electricity to supplement the peak load. Hydropower provided an average of 21.03 MWh of electricity per day during that week.

[0076] In reality, many hydropower stations release a certain volume of water daily during the dry season to generate electricity in order to ensure stable downstream water levels, paying little attention to optimized hydropower operation. A comparative analysis is needed to compare this with hydropower operation schemes obtained under this optimized operation strategy. For example... Figure 5As shown, without optimized operation of hydropower and regulation of water consumption in a power grid containing wind, solar, hydro, and energy storage, the utilization of wind and solar resources cannot be fully utilized, resulting in wind and solar curtailment when some power sources are sufficient. The capacity of the energy storage system also fluctuates greatly during the day, which is not conducive to ensuring the reliability of power supply. However, through the power grid optimization operation method containing wind, solar, hydro, and energy storage in this embodiment, the water consumption of the hydropower station ensures that the water level does not drop continuously, thereby improving the power generation efficiency of the hydropower station's water consumption.

[0077] In this embodiment, the method constructs a medium- to long-term operation strategy for a wind-solar-hydro-storage power grid suitable for the dry season, and establishes an optimized operation model with the goal of minimizing the operating water consumption and monthly planned water consumption. This reduces the impact of uncertainties in wind and solar resources on the power grid, standardizes the stochastic behavior of the source and load sides, and improves the economic efficiency of power grid operation.

[0078] Example 2:

[0079] Based on the same inventive concept, this embodiment discloses a power grid optimization operation system incorporating wind, solar, hydro, and storage, including:

[0080] The complementary feature analysis module is used to analyze the complementary features of wind, solar, hydro, and storage systems based on seasonal characteristics.

[0081] The operation strategy formulation module is used to formulate the operation strategy of the wind-solar-hydro-storage system during the dry season based on the complementary characteristics of the wind-solar-hydro-storage system.

[0082] The model building module is used to establish an optimized operation model for the wind-solar-hydro-storage system based on the operation strategy of the wind-solar-hydro-storage system during the dry season and the actual operation characteristics of the hydropower station.

[0083] The optimized operation module is used to optimize the operation of the power grid containing wind, solar, hydro and storage systems based on the optimized operation model of the wind, solar, hydro and storage system.

[0084] Example 3:

[0085] Based on the same inventive concept, this embodiment discloses a computer-readable storage medium storing a computer program, which is executed by a processor to implement the above-mentioned method for optimizing the operation of a power grid including wind, solar, hydro, and storage.

[0086] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0087] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0088] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0089] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0090] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific embodiments of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention. The above content is only a specific embodiment of this application, but the protection scope of this application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be covered within the protection scope of this application. Therefore, the protection scope of this application should be determined by the protection scope of the claims.

Claims

1. A method for optimizing the operation of a power grid incorporating wind, solar, hydro, and storage, characterized in that, Includes the following steps: Based on seasonal characteristics, analyze the complementary features of wind, solar, hydro, and storage systems; Based on the complementary characteristics of the wind-solar-hydro-storage system, a strategy for operating the wind-solar-hydro-storage system during the dry season is formulated. Based on the aforementioned dry season wind-solar-hydro-storage system operation strategy and combined with the actual operation characteristics of the hydropower station, an optimized operation model for the wind-solar-hydro-storage system is established. Based on the optimized operation model of the wind-solar-hydro-storage system, the operation process of the power grid containing wind, solar, hydro, and storage systems is optimized; The method for generating the operation strategy of the wind-solar-hydro-storage system during the dry season is as follows: Based on the weektime load curve P L Weekly wind power output curve P WT Weekly photovoltaic power output curve P PV This forms the equivalent load curve for the week. P EL ; The equivalent load curve within the week P EL The portion less than zero is used to charge the battery energy storage system; when the required power exceeds the maximum charging power... P c,max If so, then wind and solar power curtailment operations will be carried out; The equivalent load curve within the week P EL The portion greater than zero is used to determine the hydropower generation capacity. P HP Maximum discharge power of battery energy storage system P d,max Whether the sum is greater than the daily average equivalent load at the corresponding time, and generate the operation strategy of the wind-solar-hydro-storage system during the dry season based on the judgment result; The operation strategy for the wind-solar-hydro-storage system during the dry season is as follows: If the hydropower generation capacity P HP Maximum discharge power of battery energy storage system P d,max If the sum of these values ​​is greater than the daily average equivalent load for the corresponding time, then the battery energy storage system will be calculated according to (…). P EL -P HP Discharge; If the hydropower generation capacity P HP Maximum discharge power of battery energy storage system P d,max If the sum of the loads is less than the daily average equivalent load for the corresponding time, then load shedding operations need to be performed on the wind, solar, hydro, and storage system. The optimized operation model for the wind-solar-hydro-storage system is as follows: in, It is the objective function, min f The minimum value of the objective function is required, which is the optimal operation scheme of the wind-solar-hydro-storage system. T is the running scheduling cycle, and the optimized scheduling is performed in hours; Q t yes t Water consumption at any given time; Q P This is the estimated water consumption for the month. K It is a penalty factor; P t shedding yes t Load shedding at any given time; yes t Load during the week.

2. The power grid optimization operation method incorporating wind, solar, hydro, and storage as described in claim 1, characterized in that, The complementary features of the wind-solar-hydro-storage system are as follows: During the winter when wind power is abundant, wind and solar combined energy storage is used to ensure the power supply to the base load, while hydropower is used to regulate the load curve of the power grid. During the summer when wind power is low, hydropower is prioritized to ensure power supply for the base load, while wind, solar, and energy storage are used to ensure power supply for peak loads.

3. The power grid optimization operation method incorporating wind, solar, hydro, and storage as described in claim 2, characterized in that, The intra-week equivalent load curve P EL The calculation formula is: in, yes t Equivalent load at any time; yes t Weekly load; yes t Wind power output during the week; yes t Photovoltaic output during the week; α is a correction coefficient reflecting the dispatcher's degree of acceptance of the forecast results.

4. The power grid optimization operation method incorporating wind, solar, hydro, and storage as described in claim 1, characterized in that, The constraints of the optimized operation model for the wind-solar-hydro-storage system are as follows: The power balance constraint is: in, , and These are the equivalent load, hydropower output, and energy storage charging and discharging during time period t, respectively. yes t Load shedding at any given time; This refers to the amount of wind and solar power that has been curtailed. The water balance constraints are: in, yes t Inbound flow at time -1; V t-1 yes t Storage capacity at time -1; yes t Storage capacity at any given time; Q t-1 yes t Water flow rate at time -1; The charging and discharging power constraints of the battery energy storage system are as follows: in, It is energy storage charging and discharging. That is the maximum charging power. This is the minimum charging power. It is the minimum discharge power. It is the maximum discharge power; The capacity constraints of the battery energy storage system are: in, It refers to the capacity of the battery energy storage system. It is the minimum capacity of a battery energy storage system; It is the maximum capacity of the battery energy storage system.

5. The power grid optimization operation method incorporating wind, solar, hydro, and storage as described in claim 4, characterized in that, The formula for calculating the capacity of the battery energy storage system is as follows: in, It is the capacity of the battery energy storage system at time t. σ It is the self-discharge rate of the battery energy storage system. P t BESS It is the charging and discharging power during time period t. η It refers to charge / discharge efficiency.

6. A power grid optimization operation system incorporating wind, solar, hydro, and storage, characterized in that, include: The complementary feature analysis module is used to analyze the complementary features of wind, solar, hydro, and storage systems based on seasonal characteristics. The operation strategy formulation module is used to formulate the operation strategy of the wind-solar-hydro-storage system during the dry season based on the complementary characteristics of the wind-solar-hydro-storage system. The model building module is used to establish an optimized operation model for the wind-solar-hydro-storage system based on the dry season operation strategy of the wind-solar-hydro-storage system and the actual operation characteristics of the hydropower station. An optimized operation module is used to optimize the operation process of the power grid containing wind, solar, hydro and storage systems based on the optimized operation model of the wind, solar and hydro storage system. The method for generating the operation strategy of the wind-solar-hydro-storage system during the dry season is as follows: Based on the weektime load curve P L Weekly wind power output curve P WT Weekly photovoltaic power output curve P PV This forms the equivalent load curve for the week. P EL ; The equivalent load curve within the week P EL The portion less than zero is used to charge the battery energy storage system; when the required power exceeds the maximum charging power... P c,max If so, then wind and solar power curtailment operations will be carried out; The equivalent load curve within the week P EL The portion greater than zero is used to determine the hydropower generation capacity. P HP Maximum discharge power of battery energy storage system P d,max Whether the sum is greater than the daily average equivalent load at the corresponding time, and generate the operation strategy of the wind-solar-hydro-storage system during the dry season based on the judgment result; The operation strategy for the wind-solar-hydro-storage system during the dry season is as follows: If the hydropower generation capacity P HP Maximum discharge power of battery energy storage system P d,max If the sum of these values ​​is greater than the daily average equivalent load for the corresponding time, then the battery energy storage system will be calculated according to (…). P EL -P HP Discharge; If the hydropower generation capacity P HP Maximum discharge power of battery energy storage system P d,max If the sum of the loads is less than the daily average equivalent load for the corresponding time, then load shedding operations need to be performed on the wind, solar, hydro, and storage system. The optimized operation model for the wind-solar-hydro-storage system is as follows: in, It is the objective function, min f The minimum value of the objective function is required, which is the optimal operation scheme of the wind-solar-hydro-storage system. T is the running scheduling cycle, and the optimized scheduling is performed in hours; Q t yes t Water consumption at any given time; Q P This is the estimated water consumption for the month. K It is a penalty factor; P t shedding yes t Load shedding at any given time; yes t Load during the week.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which is executed by a processor to implement the power grid optimization operation method including wind, solar, hydro, and storage as described in any one of claims 1-5.

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