Multi-energy system capacity configuration method based on horizontal pumped storage

Abstract

The invention relates to a multi-energy system capacity configuration method based on horizontal pumped storage, and the method comprises the steps: carrying out the horizontal pumped storage transformation of adjustable hydropower in a multi-energy system in a research region, and then carrying out the solving of a constructed capacity configuration optimization model, and obtaining the optimal wind power and photovoltaic installed capacity. Therefore, the multi-energy system can give full play to the complementary characteristics of various energy forms under the strong adjusting capacity of the horizontal pumped storage power station, the fluctuation of wind power and photoelectricity can be effectively stabilized, wind and light resources are fully utilized, the energy utilization efficiency is improved, and safe and economical operation of the power system is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of power system engineering, and in particular to a method for configuring the capacity of a multi-energy system based on horizontal pumped storage. Background Art

[0002] Wind power and photovoltaic power generation have many advantages such as cleanliness and pollution-free, and with the continuous development of technology, wind power and photovoltaic power generation have been widely used as renewable energy generation technologies around the world. However, due to weather, day and night, seasonal changes and other reasons, wind and solar power generation has the natural characteristic of large volatility. Although the existing technology can use hydropower stations to smooth the volatility of wind and solar power to improve the safety and reliability of the power system, the regulation capacity of conventional hydropower is limited, so the installed capacity of wind farms and photovoltaic power stations in the power system cannot be too large, making it difficult to fully utilize wind and solar resources, resulting in waste of resources. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a method for configuring the capacity of a multi-energy system based on horizontal pumped storage, which can fully utilize wind and solar resources to improve economic benefits and enhance the safety and stability of the operation of the multi-energy system.

[0004] The technical solution adopted by the present invention to solve the above technical problems is: a method for configuring the capacity of a multi-energy system based on horizontal pumped storage, wherein the multi-energy system includes a power generation subsystem and an energy storage subsystem, wherein the power generation subsystem includes a wind farm, a photovoltaic power station, a thermal power plant, a non-adjustable hydropower station and an adjustable hydropower station, wherein the energy storage subsystem includes a battery, wherein the adjustable hydropower station includes a horizontal pumped storage power station obtained by arranging a pumping station of an adjustable hydropower station that meets set conditions; the capacity configuration method includes the following steps:

[0005] S1, build a capacity configuration optimization model, where the objective function is as follows:

[0006]

[0007] Where t represents the tth scheduling period, T represents the total number of scheduling periods within the set scheduling period, and T is a natural number greater than or equal to 1. represents the planned output of the multi-energy system in the tth dispatch period issued by the power grid, They represent the output of wind farm and photovoltaic power station in the multi-energy system in the tth dispatch period, They represent the output of adjustable hydropower stations and non-adjustable hydropower stations in the multi-energy system in the tth dispatch period, represents the output of the thermal power plant in the multi-energy system in the tth dispatch period, represents the output of the energy storage subsystem in the multi-energy system in the tth scheduling period, Indicates the amount of wind and solar power abandoned in the tth scheduling period;

[0008] The constraints include:

[0009] V i,min ≤V i ≤V i,max

[0010] P pt ≥λP load +P wp

[0011]

[0012] 0≤N wind ≤N wind,max

[0013] 0≤N pv ≤N pv,max

[0014]

[0015] In the above formula, V i represents the storage capacity of the ith adjustable hydropower station, V i,min 、V i,max They represent the minimum and maximum storage capacities of the ith adjustable hydropower station, P pt represents the regulating capacity of the adjustable hydropower station, P load is the overall load of the power grid, P wp is the reserve constraint caused by the addition of multi-energy systems to the grid, P max Indicates the maximum capacity of wind power and photovoltaic power that the grid can accept, represents the output of the ith adjustable hydropower station, They represent the minimum output and maximum output of the ith adjustable hydropower station respectively. When the adjustable hydropower station is a horizontal pumped storage power station, The value of is the opposite of the rated total pumping power of the corresponding pumping station. Otherwise The value of is 0. represents the maximum output of the wind farm in the multi-energy system, Indicates the maximum output of the photovoltaic power station in the multi-energy system, Represents the maximum output of the energy storage subsystem, N wind represents the installed capacity of wind farm in multi-energy system, N pv represents the installed capacity of multi-energy system photovoltaic power station, where and According to the wind and solar resource data of the study area and the installed capacity of wind farm N wind and installed capacity of photovoltaic power station N pv Get, N wind,maxrepresents the maximum permissible installed capacity of wind power in a multi-energy system, N pv,max represents the maximum permissible installed capacity of a multi-energy system photovoltaic power station, P f (t') represents the load of the multi-energy system at time t', It represents the amount of wind and solar power abandoned by the multi-energy system at time t';

[0016] S2, collect and obtain the wind and solar resource data during the dispatch period of the study area;

[0017] S3, calculating the output of the thermal power plant and the output of the non-adjustable hydropower station during the dispatch period according to the output characteristic curves of the thermal power plant and the non-adjustable hydropower station;

[0018] S4, taking the installed capacity of the wind farm and the installed capacity of the photovoltaic power station as optimization variables, calling the capacity configuration optimization model, and using the optimization algorithm to solve the installed capacity of the wind farm and the installed capacity of the photovoltaic power station corresponding to the optimal objective function value.

[0019] Furthermore, the horizontal pumped-storage power station is obtained by arranging a pumping station from an adjustable hydropower station that meets set conditions, wherein the set conditions include: there is a tailwater connection between the tailwater level of the adjustable hydropower station and the normal water storage level of the downstream adjacent hydropower station; the adjustable hydropower station has a regulating storage capacity above daily regulation; the net water head of the adjustable hydropower station is greater than or equal to 30m; and there are site conditions for installing a pumping station.

[0020] Furthermore, the adjustable hydropower station that meets the set conditions is arranged to obtain a horizontal pumped storage power station, wherein the number of pumps in the pumping station is determined as follows:

[0021] Calculate the rated total pumping power P of the pumping station: P = 9.81*(3.65VH) / (3.6ηh);

[0022] Calculate the number of water pumps Y: Y = P / p;

[0023] In the above formula, V represents the maximum regulating storage capacity of the horizontal pumped storage power station, H represents the rated pumping head, h represents the annual equivalent pumping hours of the horizontal pumped storage, η represents the designed pumping efficiency of the pump, and p represents the rated power of the pump.

[0024] Furthermore, in step S4, an optimization algorithm is used to solve the wind farm installed capacity and photovoltaic power station installed capacity corresponding to the optimal objective function value, and a particle swarm algorithm is specifically used for solving.

[0025] Compared with the prior art, the advantages of the present invention are:

[0026] The method of the present invention transforms the adjustable hydropower in the multi-energy system of the study area into horizontal pumped storage, and then solves the constructed capacity configuration optimization model to obtain the optimal wind power and photovoltaic installed capacity, so that the multi-energy system can give full play to the complementary characteristics of various energy forms under the powerful regulation ability of the horizontal pumped storage power station, and at the same time effectively smooth the volatility of wind power and photovoltaic power, make full use of wind and solar resources, improve energy utilization efficiency, and thus ensure the safe and economical operation of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is the wind power output characteristic curve.

[0028] Figure 2 It is the photovoltaic output characteristic curve.

[0029] Figure 3 Output characteristic curves of runoff small hydropower and garbage power generation.

[0030] Figure 4 is the annual load power curve.

[0031] Figure 5 This is a schematic diagram of load tracking in a typical month and day in spring after capacity configuration is performed using the present invention.

[0032] Figure 6 This is a schematic diagram of load tracking for a typical month and day in summer after capacity configuration is performed using the present invention.

[0033] Figure 7 This is a schematic diagram of load tracking in a typical month and day in autumn after capacity configuration is performed using the present invention.

[0034] Figure 8 This is a schematic diagram of load tracking in a typical month and day in winter after capacity configuration is performed using the present invention. DETAILED DESCRIPTION

[0035] The present invention is further described in detail below in conjunction with the embodiments of the drawings, examples of which are shown in the 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 drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0036] In the description of the present application, it should be noted that for directional words, such as the terms "center", "lateral", "longitudinal", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise" and the like indicating directions and positional relationships are based on the directions or positional relationships shown in the drawings, which are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and cannot be understood as limiting the specific protection scope of the present application. The terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, 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, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0037] The present invention relates to a method for configuring the capacity of a multi-energy system based on horizontal pumped storage. The multi-energy system comprises a power generation subsystem and an energy storage subsystem, wherein the power generation subsystem comprises a wind farm, a photovoltaic power station, a thermal power plant, a non-adjustable hydropower station and an adjustable hydropower station, the energy storage subsystem comprises a storage battery, wherein the adjustable hydropower station comprises a horizontal pumped storage power station obtained by arranging a pumping station of an adjustable hydropower station that meets set conditions; the capacity configuration method comprises the following steps:

[0038] S1, build a capacity configuration optimization model, where the objective function is as follows:

[0039]

[0040] Where t represents the tth scheduling period, T represents the total number of scheduling periods within the set scheduling period, and T is a natural number greater than or equal to 1. represents the planned output of the multi-energy system in the tth dispatch period issued by the power grid, They represent the output of wind farm and photovoltaic power station in the multi-energy system in the tth dispatch period, They represent the output of adjustable hydropower stations and non-adjustable hydropower stations in the multi-energy system in the tth dispatch period, represents the output of the thermal power plant in the multi-energy system in the tth dispatch period, represents the output of the energy storage subsystem in the multi-energy system in the tth scheduling period, Indicates the amount of wind and solar power abandoned in the tth scheduling period;

[0041] The constraints include:

[0042] V i,min ≤Vi ≤V i,max

[0043] P pt ≥λP load +P wp

[0044]

[0045]

[0046] 0≤N wind ≤N wind,max

[0047] 0≤N pv ≤N pv,max

[0048]

[0049] In the above formula, V i represents the storage capacity of the ith adjustable hydropower station, V i,min 、V i,max They represent the minimum and maximum storage capacities of the ith adjustable hydropower station, P pt It represents the regulating capacity of the adjustable hydropower station, that is, the output range of the adjustable hydropower station, P load is the overall load of the power grid, that is, the sum of the planned outputs of multiple energy systems during the dispatch period, P wp is the reserve constraint caused by the addition of multi-energy systems to the grid, P max Indicates the maximum capacity of wind power and photovoltaic power that the power grid can accept, that is, the real-time load data of the multi-energy system. represents the output of the ith adjustable hydropower station, They represent the minimum output and maximum output of the ith adjustable hydropower station respectively. When the adjustable hydropower station is a horizontal pumped storage power station, The value of is the opposite of the rated total pumping power of the corresponding pumping station. Otherwise The value of is 0. It represents the maximum output of the wind farm in the multi-energy system, that is, the output of the wind farm in the multi-energy system under ideal wind conditions. It represents the maximum output of the photovoltaic power station in the multi-energy system, that is, the output of the photovoltaic power station under ideal lighting conditions. Represents the maximum output of the energy storage subsystem, N wind represents the installed capacity of wind farm in multi-energy system, N pv represents the photovoltaic installed capacity of the multi-energy system photovoltaic power station, according to the wind and solar resource data and wind power installed capacity N in the study area wind and installed capacity of photovoltaic power station N pv Can be obtained separately and Under the condition of known light intensity, the calculation of photovoltaic power station output according to the installed capacity of photovoltaic power station belongs to the existing technology, and the calculation of wind power output also belongs to the existing technology. wind,max represents the maximum permissible installed capacity of wind power in a multi-energy system, N pv,max Indicates the maximum permissible installed capacity of photovoltaic power generation in a multi-energy system, N wind,max 、N pv,max It can be determined based on factors such as geographical conditions and peak load. f (t') represents the load of the multi-energy system at time t', represents the amount of wind and solar power abandoned by the multi-energy system at time t', They represent the output of the wind farm, photovoltaic power station, thermal power plant, non-adjustable hydropower station, adjustable hydropower station, and energy storage power station at time t' respectively. It should be noted that the above parameters such as the reservoir capacity of the hydropower station and the output limit of the hydropower station can be obtained from the relevant design parameters or calculated, which belongs to the prior art;

[0050] S2, collect and obtain the wind and solar resource data during the dispatch period of the study area;

[0051] S3, calculating the output of the thermal power plant and the output of the non-adjustable hydropower station during the dispatch period according to the output characteristic curves of the thermal power plant and the non-adjustable hydropower station;

[0052] S4, taking the installed capacity of the wind farm and the installed capacity of the photovoltaic power station as optimization variables, calling the capacity configuration optimization model, and using the optimization algorithm to solve the installed capacity of the wind farm and the installed capacity of the photovoltaic power station corresponding to the optimal objective function value.

[0053] In the present embodiment, the above-mentioned horizontal pumped-storage power station is obtained by arranging a pumping station by the adjustable hydropower station that meets the set conditions, wherein the set conditions include: there is a tailwater connection between the tailwater level of the adjustable hydropower station and the normal water storage level of the downstream adjacent hydropower station, and whether there is a tailwater connection can be obtained based on empirical observations; the adjustable hydropower station has a regulating storage capacity above daily regulation, and it is better when the adjustable hydropower station has a seasonal regulating storage capacity; the net water head of the adjustable hydropower station is greater than or equal to 30m; there are site conditions for installing a pumping station. As a technician in this field, after knowing that a pumping station is to be installed, he should be aware of the relevant site requirements such as site width and geological conditions, which are not described in detail here.

[0054] It should be noted that the wind and solar resources in a region can be approximately considered to be unchanged. Of course, the wind and solar power prediction method can also be used to use historical wind and solar resource data to predict the wind and solar resource data for a certain period of time in the future. Future load data can also be predicted based on historical load data. This belongs to the existing technology and will not be described in detail here.

[0055] In this embodiment, the above-mentioned adjustable hydropower station that meets the set conditions is arranged to obtain a horizontal pumped storage power station, wherein the number of pumps in the pumping station is determined as follows:

[0056] Calculate the rated total pumping power P of the pumping station: P = 9.81*(3.65VH) / (3.6ηh);

[0057] Calculate the number of water pumps Y: Y = P / p;

[0058] In the above formula, V represents the maximum regulating storage capacity of the horizontal pumped storage power station. The maximum regulating storage capacity can be determined through empirical comparison based on the regulating capacity of the adjustable hydropower station and the principle of having little impact on the normal operation of the hydropower station. H represents the rated pumping head, h represents the annual equivalent pumping hours of the horizontal pumped storage power station. In practice, the peak and valley characteristics of electricity load and other forms of pumped storage power stations can be comprehensively considered to determine the annual equivalent pumping hours of the horizontal pumped storage power station based on experience and scientific selection. η represents the designed pumping efficiency of the pump, and p represents the rated power of the pump.

[0059] In this embodiment, the wind farm installed capacity and photovoltaic power station installed capacity corresponding to the optimal objective function value in the above step S4 can be solved by using a particle swarm algorithm. Since the specific principle and process of the particle swarm algorithm belong to the prior art, the solution process is simply listed as follows in this embodiment:

[0060] S41, randomly determine the initial installed capacity of wind farms and photovoltaic power stations;

[0061] S42, setting initial parameters, the initial population can be set to 200, the maximum number of iterations can be set to 300, and the parent population is randomly initialized;

[0062] S43 randomly generates the parent population, and after non-dominated sorting, each individual is assigned a non-dominated rank;

[0063] S44, the first generation of offspring population is obtained through three basic operations: selection, crossover and mutation;

[0064] S45, merge all individuals of the parent population and the child population into a new population, perform non-dominated sorting on the combined population, and calculate the local crowding degree of each individual;

[0065] S46, sorting from high to low according to the non-dominated level, selecting individuals one by one until the total number of individuals reaches the set value to form a new parent population;

[0066] S47, when the number of iterations reaches the set number of generations, the solution set corresponding to the optimal objective function value is obtained, and the optimal wind farm installed capacity and photovoltaic power station installed capacity can be obtained.

[0067] The following is a brief introduction to the operation of the multi-energy system.

[0068] 1. Load shedding of thermal power (including waste power generation): Analyze the characteristics of thermal power plants such as waste power generation, which have a relatively stable and controllable daily output process. Given their daily output process, the power supply and demand difference curve after the first load shedding is obtained by subtracting the thermal power output in the corresponding period from the output in the period of the daily load curve 1;

[0069] 2. New energy (including wind power and photovoltaic) load shedding: Based on the installed capacity of wind power and photovoltaic power and their daily output coefficient, the daily output process of wind power and photovoltaic power is calculated, and the power supply and demand difference curve 2 after the second load shedding is obtained by subtracting the time period output of wind power and photovoltaic power from the time period output of the power supply and demand difference curve 1;

[0070] 3. Non-adjustable hydropower load shedding: According to the regulation capacity of each hydropower station, the hydropower stations are divided into adjustable hydropower stations (daily regulation and above) and non-adjustable hydropower stations (runoff power stations and small hydropower stations). The non-adjustable hydropower stations obtain the daily average output based on the historical runoff or operation data analysis, and the power supply and demand difference curve 3 after the third load shedding is obtained by subtracting the average output from the time period output of the power supply and demand difference curve 2;

[0071] 4. Supply and demand balance adjustment of adjustable hydropower (including horizontal pumped storage power stations): For adjustable hydropower, the total daily power generation is obtained based on the analysis of historical runoff data or operation data, and the daily maximum and minimum outputs of the adjustable hydropower station are determined by comprehensively considering the ecological flow of the power station as well as the water level, flow, and output amplitude limit. When the adjustable hydropower is a horizontal pumped storage power station, its minimum output can be a negative value, that is, the opposite of the power of the pumping station of the horizontal pumped storage power station. Then, the adjustable hydropower output process is optimized based on the principle of minimizing the sum of the squares of the difference between the power supply and demand difference curve 3 and the adjustable hydropower output process. In the actual operation process, the initial adjustable hydropower output process can be obtained by scaling the total daily power generation and the power supply and demand difference curve 3, and then corrected according to the limiting conditions, and then the power supply and demand difference curve 4 is obtained by subtracting the adjustable hydropower output process from the power supply and demand difference curve 3;

[0072] 5. Balance adjustment of energy storage supply and demand: According to the principle of charge and discharge balance within the day of the energy storage power station (i.e., the charge and discharge state at the end of the day returns to the charge and discharge state at the beginning of the day), the energy storage output process is optimized by minimizing the square sum of the difference between the power supply and demand difference curve 4 and the energy storage daily output process. In the actual operation process, the "area method" can also be used for calculation, that is, the peak-cutting area of ​​the power supply and demand difference curve 4 is equal to the available energy storage capacity of the energy storage power station, and the discharge power after considering the discharge loss is equal to the valley filling area of ​​the power supply and demand difference curve 4. Then, the power supply and demand difference curve 5 is obtained by subtracting the energy storage power station output process from the power supply and demand difference curve 4, and P is used to calculate the power supply and demand difference curve 5. beIt indicates that when the power supply-demand difference curve 5 is a positive value, it means that there is a gap in the power supply of the multi-energy system and electricity needs to be purchased from outside; when the power supply-demand difference curve 5 is a negative value, it means that the power supply of the multi-energy system is in excess and needs to be exported.

[0073] The method of the present invention is further explained below by taking a certain research area as an example. There are 4 cascades of adjustable hydropower stations in this area, with a total installed capacity of 282.5MW. The installed capacity of the 4 cascade hydropower stations is 4×20MW, 3×30MW, 3×21MW and 3×16.5MW respectively. There is also 127MW of non-adjustable hydropower. In this implementation, a pumping station is installed on the second-level hydropower station in the cascade for horizontal pumped storage transformation. It also includes a conventional garbage power generation plant, i.e. a 7.5MW thermal power plant and a 318MWh chemical energy storage power station. Conventional 3MW wind turbines and 1MW photovoltaic power generation arrays are selected, and the load uses the local prefecture-level city load data.

[0074] A 3MW wind turbine and a 1MW photovoltaic array are selected. By analyzing the output of the wind and solar units for 8760 hours in a year, their output characteristics can be obtained, as shown in the attached figure. Figure 1 , 2 shown.

[0075] By the attached Figure 1 , 2 It can be seen that the volatility of wind power generation is very large, while the volatility of photovoltaic power generation is relatively small. Wind and solar power also have certain complementary benefits in seasons. Photovoltaic power output is large in summer, but wind power output is small in summer. In the long term, wind turbines have the characteristics of large output in winter and small output in summer; in the short term, wind turbines have the characteristics of large output at night and small output during the day. Although wind power and photovoltaic power have certain regularities in terms of seasons and days, there is a certain mismatch between the two, which means that there is a mismatch between the power supply and demand between the system load and the output of wind power and photovoltaic power.

[0076] The installed capacity of non-adjustable hydropower, i.e. runoff hydropower, in which the power grid participates is 127MW. There are 46 small runoff hydropower stations, which cannot generate electricity at full load throughout the year. When the power supply guarantee rate is 80%, it generally only reaches normal operation for about 180 days, and generally generates electricity evenly within 24 hours a day; in the dry season, such as autumn and winter, the rainfall decreases, the power supply guarantee rate is less than 50%, and sometimes even no electricity can be generated. In the flood season, such as spring and summer, the water volume is abundant, and the water volume is usually the most abundant in June, and the power generation output can reach 90% of the total installed capacity. Changes in precipitation directly affect the power generation of hydropower stations; the total installed capacity of garbage power generation is 7.5MW, and the power generation power is relatively stable, which can stably reach 60% (4.5MW) of the total installed capacity. The output characteristics of runoff small hydropower and garbage power generation are shown in the attached figure. Figure 3 shown.

[0077] By analyzing the load for 8760 hours in 2021, the annual load power curve of the study area is shown in the attached figure. Figure 4 As shown in the figure, we can see that the load output fluctuates greatly within a year, showing the characteristics of small load in winter and spring and large load in summer and autumn. The load is the largest in August and the smallest in February. The average load changes are relatively small in March, April, May and June, and are relatively stable. The load reaches a peak in August and then gradually decreases, reaching the lowest in December. The monthly average load from July to September is greater than 400MW, which belongs to the season with large load. The monthly average load from December to February of the following year is less than 350MW, which belongs to the season with small load.

[0078] By using the existing wind and solar output characteristics, existing data on various energy sources such as water, storage and thermal power generation, and using the optimization algorithm to solve the multi-energy system capacity optimization configuration model, it can be obtained that the wind power installed capacity in 2021 is 540MW, the photovoltaic power station installed capacity is 905MW, the power deviation is 0.424MW / h, and the total power supply cost in the study area is 170,511,630 yuan. By calculating the daily output characteristics of the multi-energy system data in 2021, the daily load diagram of the multi-energy system tracking load in typical months of the four seasons of spring, summer, autumn and winter throughout the year is obtained as follows Figures 5 to 8 Before the horizontal pumped storage transformation of the second-level hydropower in the cascade, the installed capacity of wind power was 498MW, the installed capacity of photovoltaic power stations was 834MW, the power deviation was 0.531MW / h, and the total cost of electricity supply was 390,545,222.5 yuan. By comparison, it can be seen that after the horizontal pumped storage transformation of the second-level hydropower in the cascade was carried out using the method of the present invention, the power deviation of the multi-energy system was greatly reduced, the total cost of electricity supply in the study area was greatly reduced, and the safety and economy of the power system were effectively improved. This embodiment verifies the method of the present invention based on the known data in 2021, and has good technical effects. In the subsequent planning and construction of the power system, the method of the present invention can be used to rationally plan the installed capacity of wind power and photovoltaics to improve the economy and safety of the system.

[0079] The present invention aims to study the capacity configuration optimization of a wind-solar storage multi-energy complementary system based on horizontal pumped storage, so as to overcome the intermittency of wind and photovoltaic resources, improve the stability of the system, and maximize the use of these resources to meet load demand, reduce the amount of wind and solar abandonment, and improve the economic performance of the system. Specifically:

[0080] The present invention proposes to establish a multi-energy complementary system based on horizontal pumped storage, establish a target function for capacity configuration by setting constraints for each subsystem; analyze the output characteristics of different power generation subsystems to obtain the regular characteristics and complementary characteristics of different systems, and finally make each subsystem match the load demand to the best, thereby improving the stability of the system; in the process of optimizing the system capacity configuration, the present invention not only considers various output characteristics and load characteristics, but also considers the power deviation of the configuration results, thereby maximizing the economy while ensuring the stability of the system.

[0081] Although embodiments of the present invention have been shown and described, those skilled in the art will appreciate 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.

Claims

1. A method for configuring the capacity of a multi-energy system based on horizontal pumped storage, characterized in that: The multi-energy system includes a power generation subsystem and an energy storage subsystem, wherein the power generation subsystem includes a wind farm, a photovoltaic power station, a thermal power plant, a non-adjustable hydropower station and an adjustable hydropower station, and the energy storage subsystem includes a battery, wherein the adjustable hydropower station includes a horizontal pumped storage power station obtained by arranging a pumping station by an adjustable hydropower station that meets the set conditions; the capacity configuration method includes the following steps: S1, build a capacity configuration optimization model, where the objective function is as follows: Where t represents the tth scheduling period, T represents the total number of scheduling periods within the set scheduling period, T is a natural number greater than or equal to 1, and P t L represents the planned output of the multi-energy system in the tth dispatching period issued by the power grid, P t wind , P t pv They represent the output of wind farm and photovoltaic power station in the multi-energy system in the tth dispatch period, P t pt , P t spt They represent the output of the adjustable hydropower station and the non-adjustable hydropower station in the multi-energy system in the tth dispatch period, respectively, t th represents the output of the thermal power plant in the multi-energy system in the tth dispatch period, P t st represents the output of the energy storage subsystem in the multi-energy system in the tth scheduling period, Indicates the amount of wind and solar power abandoned in the tth scheduling period; in Constraints include: In i,min ≤V i ≤V i,max P pt ≥λP load +P wp 0≤N wind ≤N wind,max 0≤N pv ≤N pv,max In the above formula, V i represents the storage capacity of the ith adjustable hydropower station, V i,min 、V i,max They represent the minimum and maximum storage capacities of the ith adjustable hydropower station, P pt represents the regulating capacity of the adjustable hydropower station, P load is the overall load of the power grid, P wp is the reserve constraint caused by the addition of multi-energy systems to the grid, P max Indicates the maximum capacity of wind power and photovoltaic power that the grid can accept, represents the output of the ith adjustable hydropower station, They represent the minimum output and maximum output of the ith adjustable hydropower station respectively. When the adjustable hydropower station is a horizontal pumped storage power station, The value of is the opposite of the rated total pumping power of the corresponding pumping station. Otherwise The value of is 0. represents the maximum output of the wind farm in the multi-energy system, Indicates the maximum output of the photovoltaic power station in the multi-energy system, Represents the maximum output of the energy storage subsystem, N wind represents the installed capacity of wind farm in multi-energy system, N pv represents the installed capacity of multi-energy system photovoltaic power station, where and According to the wind and solar resource data of the study area and the installed capacity of wind farm N wind and installed capacity of photovoltaic power station N pv Calculated, N wind,max represents the maximum permissible installed capacity of wind power in a multi-energy system, N pv,max represents the maximum permissible installed capacity of a multi-energy system photovoltaic power station, P f (t') represents the load of the multi-energy system at time t', It represents the amount of wind and solar power abandoned by the multi-energy system at time t'; S2, obtain the wind and solar resource data of the study area during the scheduling period; S3, calculating the output of the thermal power plant and the output of the non-adjustable hydropower station during the dispatch period according to the output characteristic curves of the thermal power plant and the non-adjustable hydropower station; S4, taking the installed capacity of the wind farm and the installed capacity of the photovoltaic power station as optimization variables, calling the capacity configuration optimization model, and using the optimization algorithm to solve the installed capacity of the wind farm and the installed capacity of the photovoltaic power station corresponding to the optimal objective function value.

2. A method for configuring the capacity of a multi-energy system based on horizontal pumped storage according to claim 1, characterized in that: The horizontal pumped-storage power station is obtained by arranging a pumping station by the adjustable hydropower station that meets the set conditions, wherein the set conditions include: the tail water level of the adjustable hydropower station is connected with the normal water storage level of the downstream adjacent hydropower station, the adjustable hydropower station has a regulating storage capacity above daily regulation, the net water head of the adjustable hydropower station is greater than or equal to 30m, and there are site conditions for installing the pumping station.

3. A method for configuring the capacity of a multi-energy system based on horizontal pumped storage according to claim 2, characterized in that: The adjustable hydropower station that meets the set conditions is arranged to obtain a horizontal pumped storage power station, wherein the number of pumps in the pumping station is determined as follows: Calculate the rated total pumping power P of the pumping station: P = 9.81*(3.65VH) / (3.6ηh); Calculate the number of water pumps Y: Y = P / p; In the above formula, V represents the maximum regulating storage capacity of the horizontal pumped storage power station, H represents the rated pumping head, h represents the annual equivalent pumping hours of the horizontal pumped storage, η represents the designed pumping efficiency of the pump, and p represents the rated power of the pump.

4. A method for configuring the capacity of a multi-energy system based on horizontal pumped storage according to claim 1, characterized in that: In step S4, an optimization algorithm is used to solve the wind farm installed capacity and photovoltaic power station installed capacity corresponding to the optimal objective function value, and a particle swarm algorithm is specifically used for solving.

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