Pumped storage power station optimization scheduling method based on energy and water ecological balance

Abstract

The invention provides a pumped storage power station optimization scheduling method based on energy and water ecological balance. The method comprises the following steps: S1, collecting water area ecological health index information; s2, establishing a water area ecological health database; s3, the water area ecological health state evaluation index value is transmitted to a pumped storage power station dispatching module; s4, on the basis of energy and water ecological balance, an optimal scheduling model of the pumped storage power station is established and solved; s5, collecting water ecology data after scheduling is completed, feeding back the water ecology data to a water area ecology health database, evaluating the water ecology health level after scheduling, and making a next scheduling plan; the method emphasizes that the health and stability of the water ecological environment are preferentially considered in the optimal scheduling of the pumped storage power station, and ensures that the scheduling strategy does not cause negative influence on the water ecological environment by constructing the water ecological environment health evaluation model and the water ecological condition evaluation model, thereby being beneficial to protecting the diversity and habitat of aquatic organisms, and improving the optimal scheduling efficiency of the pumped storage power station. The balance of an ecological system is maintained.

Description

Technical Field

[0001] The invention relates to an optimization dispatching method, in particular to an optimization dispatching method for a pumped storage power station based on energy and water ecological balance, and belongs to the technical field of power grid optimization operation strategy. Background Art

[0002] The ecological and environmental impact of hydropower development has become increasingly prominent and has become one of the main factors restricting its further development. How to quickly and effectively adjust and optimize the dispatching method to ensure the stability of the ecological environment while minimizing the impact on the benefits of pumped storage power generation has become an urgent problem to be solved; the dispatching of traditional pumped storage power stations mainly focuses on the peak and frequency regulation of the power system and the control of power quality, and often does not fully consider the impact on the water ecological environment. The operation of pumped storage power stations requires frequent pumping of water from the lower reservoir to the upper reservoir. This operation may change the flow pattern of natural water bodies, affect the habitat and migration routes of aquatic organisms, and thus destroy the original ecological balance. The water ecosystem provides a variety of ecological services, such as water purification and flood regulation. If the pumped storage power station is improperly dispatched, these service functions may be weakened, causing indirect impacts on human society. The deterioration of the water ecological environment in turn increases the maintenance cost of the pumped storage power station, reduces the operating efficiency of the power station, and affects the safe operation of the power station; In the context of the continuous development of hydropower, the water ecological environment is facing increasing pressure. To ensure the coordinated balance of energy and water ecology, the optimal dispatching of pumped storage power stations is becoming more and more complicated. Therefore, the dispatching strategy of pumped storage power stations that considers the balance of energy and water ecology should take into account the impact of seasonal changes and climate change on hydrological conditions, flexibly adjust the operation strategy to adapt to water resource management in different seasons and extreme climate conditions, avoid interference with the breeding and migration periods of aquatic organisms, protect the diversity and habitats of aquatic organisms, and comprehensively consider social and economic factors such as water supply demand, water quality treatment, sediment treatment and power generation benefits, to ensure that the dispatching plan meets energy demand while taking into account social and economic sustainability; Therefore, in view of the deficiencies of the prior art, the present invention proposes a pumped storage power station optimization scheduling method based on energy and water ecological balance. Summary of the invention

[0003] In view of this, the present invention provides an optimization scheduling method for a pumped storage power station based on energy and water ecological balance, aiming to achieve the optimization scheduling goals of ecological priority, economic feasibility, and dynamic balance of energy and water ecology, and at least provide a beneficial option.

[0004] The technical solution of the present invention is implemented as follows: a method for optimizing the dispatching of a pumped storage power station based on energy and water ecological balance, comprising the following steps: S1. Collection of water ecological health indicator information; S2. Establishment of water ecological health database; S3, transferring the water area ecological health status evaluation index value to the pumped storage power station dispatching module; S4. Based on the balance of energy and water ecology, establish and solve the optimal dispatching model of pumped storage power station; S5. Collect water ecological data after the scheduling is completed, feed it back to the water area ecological health database, evaluate the water ecological health level after the scheduling, and formulate the next scheduling plan.

[0005] Further preferably, in said S1, information on water area ecological health indicators is collected, such as indicator layer information such as water level, water quality, aquatic organisms and sediments.

[0006] Further preferably, in S2, a real-time and historical database is established to store the water ecological health criterion layer and indicator layer information, providing a data basis for the subsequent establishment of a water ecological environment health evaluation model.

[0007] Further preferably, the water area ecological environment health evaluation model adopts a fuzzy comprehensive evaluation method to quantify the difficult-to-quantify indicators such as water quantity, water quality and aquatic organisms of pumped-storage power stations, and successively constructs a set of comprehensive evaluation factors, determines the factor weight values, constructs an evaluation set for comprehensive evaluation, determines the single factor membership matrix, and performs fuzzy comprehensive evaluation. In the study of the optimal scheduling method of pumped-storage power stations based on the balance of energy and water ecology, the fuzzy comprehensive evaluation method is used to evaluate the health status of water area ecology, aiming to achieve a balance between energy utilization efficiency and ecological protection. This evaluation process is of great significance for guiding the rational scheduling of pumped-storage power stations, ensuring the sustainable health of the ecosystem, and optimizing energy management.

[0008] Further preferably, in S4, the optimization scheduling model of the pumped-storage power station takes into account the balance between energy and water ecology, and optimizes the scheduling of the pumped-storage power station according to the evaluation results of the water ecological environment indicators. The model combines the current day-ahead scheduling plan to evaluate the mutual influence of the water ecological situation on the power generation plan and the grid operation. In setting the objective function, the primary goal is to minimize the impact of the pumped-storage power station on the water ecological environment, minimize the impact on the benefits of pumped-storage power generation, and at the same time pursue maximization of new energy consumption and grid stability.

[0009] Further preferably, the water ecological environment health assessment model evaluates the water health status based on the Choquet fuzzy integral method, and the specific steps are as follows: (1) Construct a comprehensive evaluation factor set; (2) Determine the weights of comprehensive evaluation factors; (3) Construct a comprehensive indicator evaluation set; (4) Determine the single factor membership matrix; (5) Fuzzy comprehensive evaluation; (6) Processing of evaluation results and calculation of scores; (7) The evaluation index results are used as the objective function and constraint conditions of the pumped storage power station dispatching model.

[0010] Further preferably, the fuzzy comprehensive evaluation method is a commonly used comprehensive evaluation method that uses fuzzy mathematical principles to quantify some factors with unclear boundaries and difficult to quantify. The evaluation result is not in absolute affirmation or denial, but in a fuzzy set. Its basic principle is to quantify the indicator factors related to the evaluation target by constructing a grade evaluation set and a factor evaluation matrix, and then use the fuzzy linear transformation principle to comprehensively evaluate each indicator factor, and determine the evaluation result according to the maximum membership principle.

[0011] Further preferably, when any one of the evaluation indicators such as water quantity, water quality, aquatic organisms, and sediment is Class V among the five evaluation levels, the current scheduling plan should be stopped immediately and measures should be taken to remedy the health of the water ecology; when all indicator results are greater than or equal to Class IV, they should participate in the scheduling model as constraints, and obtain water ecological data fed back after scheduling to evaluate the health status of the water ecology after scheduling.

[0012] The embodiment of the present invention has the following advantages due to the adoption of the above technical solution: 1. The present invention emphasizes giving priority to the health and stability of the water ecological environment in the optimization scheduling of pumped storage power stations. By constructing a water ecological environment health evaluation model and a water ecological status evaluation model, it ensures that the scheduling strategy will not have a negative impact on the water ecological environment, which helps to protect the diversity and habitat of aquatic organisms and maintain the balance of the ecosystem; Second, the present invention pursues the maximization of economic benefits under the premise of ensuring ecological priority, and realizes the maximization of new energy consumption and the improvement of grid stability through intelligent optimization algorithms and advanced evaluation models, thereby improving the dispatching efficiency and environmental adaptability of pumped storage power stations. In addition, it also provides an environmentally friendly dispatching method, which helps to reduce the interference with the flow pattern of natural water bodies and aquatic habitats, thereby reducing the maintenance cost of power stations and improving operation efficiency; 3. The present invention provides new ideas and technical support for the optimal scheduling of similar complex new energy systems by integrating advanced data analysis, evaluation models and intelligent optimization algorithms, which helps to promote the development of the field of power grid optimization operation strategies.

[0013] The above summary is for illustrative purposes only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments and features described above, further aspects, embodiments and features of the present invention will be readily apparent by reference to the accompanying drawings and the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0015] Figure 1 is a flow chart of the method of the present invention; Figure 2 This is a flow chart of a method for evaluating the health status of water bodies based on the Choquet fuzzy integral method in the present invention; Figure 3 This is a flow chart of the method for short-term optimal scheduling of a water, wind and solar integrated base taking into account sudden water pollution accidents in the present invention. DETAILED DESCRIPTION

[0016] In the following, only some exemplary embodiments are briefly described. As those skilled in the art will appreciate, the described embodiments may be modified in various ways without departing from the spirit or scope of the present invention. Therefore, the drawings and descriptions are considered to be exemplary and non-restrictive in nature.

[0017] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0018] like Figure 1 and Figure 2 As shown, an embodiment of the present invention provides a method for optimizing the scheduling of a pumped storage power station based on energy and water ecological balance, comprising the following steps: S1. Collection of water ecological health indicator information, such as water level, water quality, aquatic organisms, sediment and other indicator layer information; S2. Establishment of water ecological health database, establish real-time and historical database to store water ecological health criterion layer and indicator layer information, and provide data basis for the establishment of subsequent water ecological environment health assessment model; S3, transferring the water area ecological health status evaluation index value to the pumped storage power station dispatching module; S4. Based on the balance of energy and water ecology, establish and solve the optimal dispatching model of pumped storage power station; S5. Collect water ecological data after the scheduling is completed, feed it back to the water area ecological health database, evaluate the water ecological health level after the scheduling, and formulate the next scheduling plan.

[0019] In one embodiment, in S2, the water ecological environment health evaluation model adopts a fuzzy comprehensive evaluation method to quantify the difficult-to-quantify indicators such as water quantity, water quality and aquatic organisms of pumped-storage power stations, and successively constructs a set of comprehensive evaluation factors, determines the factor weight values, constructs an evaluation set for comprehensive evaluation, determines the single factor membership matrix, and performs fuzzy comprehensive evaluation. In the study of the optimal scheduling method of pumped-storage power stations based on the balance of energy and water ecology, the fuzzy comprehensive evaluation method is used to evaluate the health status of water ecology, aiming to achieve a balance between energy utilization efficiency and ecological protection. This evaluation process is of great significance for guiding the rational scheduling of pumped-storage power stations, ensuring the sustainable health of the ecosystem, and optimizing energy management.

[0020] In one embodiment, in S4, the optimization scheduling model of the pumped-storage power station considers the balance between energy and water ecology, and optimizes the scheduling of the pumped-storage power station according to the evaluation results of the water ecological environment indicators. The model combines the current day-ahead scheduling plan to evaluate the mutual influence of the water ecological environment on the power generation plan and the operation of the power grid. In the setting of the objective function, the primary goal is to minimize the impact of the pumped-storage power station on the water ecological environment, minimize the impact on the benefits of pumped-storage power generation, and pursue maximization of new energy consumption and the stability of the power grid. The model adopts optimization techniques such as the DBO algorithm to quickly formulate a scheduling plan that can effectively ensure the health and stability of the water ecological environment and maintain the stability of the power grid. The model guides the pumped-storage power station to adjust the power generation tasks of each power generation unit to ensure that in emergency situations, it can quickly respond to sudden changes in the water environment state and maintain the power supply stability of the power grid. In the process of executing the scheduling plan, the balance between energy and water ecology is taken into account, and resource allocation is coordinated to ensure the stable operation of the power grid in emergency situations.

[0021] In one embodiment, the water ecological environment health assessment model evaluates the water health status based on the Choquet fuzzy integral method, and the specific steps are as follows: ①Construct a comprehensive evaluation factor set to represents the evaluation factor set, Indicates elements, the factor set of water area is ; ② Determine the weight of comprehensive evaluation factors. represents the factor weight set, Indicates The weight of each element is determined by using the excess multiple weighting method to determine the weight coefficient of each water ecological index factor in the water area; (1) In the formula, It represents the weight value of the first indicator. —No. The measured value of each indicator; —No. The arithmetic mean of all grade standard values ​​of an indicator; ③Construct a comprehensive indicator evaluation set to represents the evaluation set, Indicates the evaluation set The evaluation value of each element; The evaluation set needs to be determined according to the actual situation, using different numbers, grades and comments. Different indicators correspond to different evaluation levels. The present invention divides the evaluation levels of water ecological health status into ideal (I), healthy (II), sub-healthy (III), unhealthy (IV), and pathological (V). The evaluation set of this model is ; ④ Determine the single factor membership matrix, R Represents a single factor membership matrix, factor set P Middle The evaluation result of each element can be expressed as ,exist n Single factor evaluation set ,this n The single factor evaluation set forms the membership matrix ; (2) ⑤Fuzzy comprehensive evaluation, the weight vector matrix W and the membership matrix R Perform fuzzy transformation and transform the factor matrix P The fuzzy vector on W Become a fuzzy vector on the evaluation set S , as shown in formula (3); (3) ⑥ Processing of evaluation results and calculation of scores, calculation results For a set, by S Perform normalization processing; (4) After normalization, the new matrix is ​​obtained , according to the maximum membership rule, select The corresponding health level is used as the final score of the evaluation; (5) in Q For evaluation set The scores of the corresponding factors in ⑦ The evaluation index results are used as the objective function and constraint conditions of the pumped storage power station dispatching model. When any of the evaluation indicators such as water quantity, water quality, aquatic organisms, and sediments is in the middle of the five evaluation levels,V When the indicator results are all greater than or equal to Ⅳ When the water level is high, it participates in the scheduling model as a constraint condition, obtains the water ecological data fed back after scheduling, and evaluates the health status of the water ecology after scheduling.

[0022] In one embodiment, the fuzzy comprehensive evaluation method is a commonly used comprehensive evaluation method that uses fuzzy mathematical principles to quantify some factors with unclear boundaries and difficult to quantify. The evaluation result is not in absolute affirmation or denial, but in a fuzzy set. Its basic principle is to quantify the indicator factors related to the evaluation target by constructing a grade evaluation set and a factor evaluation matrix, and then use the fuzzy linear transformation principle to comprehensively evaluate each indicator factor, and determine the evaluation result according to the maximum membership principle.

[0023] In one embodiment, an optimal dispatching method for a pumped storage power station considering the balance between energy and water ecology is provided to ensure the stability of the ecological environment while minimizing the impact on the benefits of pumped storage power generation, so as to achieve ecological priority, economic feasibility, and dynamic balance between energy and water ecology as the optimization dispatching goals; Goal 1: Maximize comprehensive benefits (6) Where: For water supply benefits; For power generation efficiency; for sediment treatment benefits; For the water purification function benefits; Provide functional benefits for aquatic habitats; Water supply benefits: (7) Where: For water supply benefits; is the water supply; The price of water is 3.44 yuan / m³ on average for cities and 0.055 yuan / m³ for agricultural irrigation. Power generation benefits: (8) Where: The value of the power generation function; is the power generation of the power station; is the price of electricity, which is 0.38 yuan / kW·h; Sediment Treatment Benefits: (9) Where: to cover the cost of sediment cleanup; is the sediment volume (m³); The unit volume cost of cleaning the river (yuan / m³). Generally, the cost of manual cleaning of the river is 65 yuan / m³. Water purification benefits: (10) Where: Cost of water purification; Volume of sewage purified for the river (m³); The cost of purifying one ton of sewage by the sewage treatment plant (yuan / m³); the unit cost price of treated wastewater is scaled year-on-year, and the unit cost price of treated wastewater is calculated as 1.3 yuan / m³; Aquatic habitat functional benefits: (11) Where: for aquatic habitat value; is the watershed area; Ecological benefits for habitats Objective 2: Minimize the fluctuation of discharge flow from pumped storage power stations (12) Where: For the period Actual water discharge from the reservoir; For the period The average value of actual water discharge from the reservoir; (13) Where: For the period Reservoir water release flow; Time Pumping flow of pumped storage unit; Objective 3: The impact of changes in river flow on aquatic biological populations is minimal. The aquatic biological population is quantified by the number of fish spawning periods, that is, after the pumped storage power station is dispatched and operated, the number of fish spawning periods is Discharge flow With natural runoff The difference between them is as small as possible, that is: (14) Where: Request a change in runoff; The number of fish spawning periods.

[0024] In one embodiment, in order to finely model the hybrid pumped storage and wind power joint operation dispatch model, the constraints are divided into three categories: water ecological constraints, power station constraints, and pumped storage unit constraints; Water ecological constraints include: Ecological water demand constraints (15) Where: For the period Actual discharge flow of pumped storage; is the minimum ecological water requirement under the unhealthy (IV) level; Sediment content constraints (16) Where: For the period Sediment contained in the actual water released from pumped storage; is the maximum sediment content under the unhealthy (IV) level; Plant constraints include: Water balance constraints between upper and lower reservoirs (17) Where: The hybrid pumped storage power station is The storage capacity of the upper and lower reservoirs; The time periods The inflow from the upper reservoir, the inflow from the lower reservoir, the power generation flow and the pumping flow; Discharge Constraints of Pumped Storage Power Stations (18) Where: For the period No. Total discharge flow of each hydropower station; Hydropower station period Upper limit of the downstream flow rate; Hydropower station period Lower limit of discharge flow rate; Storage capacity constraints (19) Where: are the minimum and maximum storage capacities of the upper reservoir of the pumped storage power station respectively; are the minimum and maximum storage capacities of the lower reservoir of the pumped storage power station respectively; are the initial storage capacities of the upper and lower reservoirs, respectively; Water level-reservoir capacity constraints (20) Where: They are the water level-storage capacity relationship curve functions of the upper and lower reservoirs respectively; The time periods The water levels of upstream and downstream reservoirs; Constraints on the total number of power plant units (twenty one) Where: They are pumped storage units, conventional hydropower units and the total number of units; Mutual exclusion constraints between power generation and pumping (twenty two) Where: The power station in the time period The power generation and pumping power of the power station cannot be pumping and generating electricity at the same time at any time, and the power generation and pumping states are mutually exclusive; Water level constraint at the end of the scheduling period (twenty three) Where: The water level fluctuation allowed at the end of the dispatch period is to ensure the dispatch demand of the next dispatch period. Compared with conventional units, pumped storage units have more advantages in starting flexibility, climbing speed and other performance, and can better match the rapid fluctuations of random energy sources such as wind power. When pumped storage units are in the power generation state, there are generally no restrictions on climbing and output fluctuations. In addition to meeting the constraints of conventional units, they must also meet the following constraints in the pumping state: Pumping power constraints (twenty four) Where: Respectively The pumping power of each pumped storage unit at the time and its upper and lower limits; is the pumping state variable of the pumped storage unit, , 1 means in pumping state, 0 means not in pumping state; Pumping flow constraints (25) In the formula: Pumped storage units at time The pumping flow rate and its upper and lower limits; Pumping power characteristic curve (26) Where: No. The relationship function of pumping power, flow rate and water head of each pumped storage unit; Pumping and power generation mutually exclusive constraints (27) For any pumped storage unit, power generation and pumping cannot occur at the same time, and the power generation and pumping states are mutually exclusive; Start and stop times constraint (28) Where: The time periods Number of pumped storage units in operation; The total number of starts and stops of the pumped storage unit during the dispatch period is limited; Unit state switching constraints (29) This constraint ensures that the pumped storage unit must experience a shutdown state when switching between pumping and power generation, avoiding the situation where the unit is pumping in the previous period and generating electricity in the next period, or generating electricity in the previous period and pumping in the next period.

[0025] In one embodiment, the flow of the short-term optimization scheduling method for a water, wind and solar integrated base considering sudden water pollution accidents is as follows: Figure 3 As shown, the specific steps are: Setp1, initialize the output of the pumped storage power station (decision variables) and DBO algorithm parameters; Setp2, determine the type of particle, update the position according to the corresponding update rule, and calculate the objective function; Setp3, after all particles are updated, an iteration is completed. After the iteration is completed, the Pareto solution set is output; Setp4, using entropy weight method to select the day-ahead scheduling plan; Setp5: If the water ecological evaluation index meets the standard (evaluation level is greater than or equal to Class IV and above); Setp6, initialize the output of the pumped storage power station (decision variables) and DBO algorithm parameters for the remaining period; Setp7, determine the particle type, update the position according to the corresponding update rule, and calculate the objective function; Setp8, after all particles are updated, an iteration is completed. After the iteration is completed, the Pareto solution set is output; Setp9, using entropy weight method to select the scheduling plan of energy and water ecological balance; An intelligent optimization algorithm is used to solve the model. The Dung Beetle Optimization (DBO) algorithm is a swarm intelligent optimization algorithm inspired by the biological behavior process of dung beetles. It has the characteristics of strong optimization ability and fast convergence speed. The algorithm simulates the behaviors of dung beetles such as rolling balls, dancing, foraging, stealing and reproduction by designing particles.

[0026] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of various changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for optimizing the dispatching of a pumped storage power station based on energy and water ecological balance, characterized in that: The following steps are involved: S1. Collection of water ecological health indicator information; S2. Establishment of water ecological health database; S3, transferring the water area ecological health status evaluation index value to the pumped storage power station dispatching module; S4. Based on the balance of energy and water ecology, establish and solve the optimal dispatching model of pumped storage power station; S5. Collect water ecological data after the scheduling is completed, feed it back to the water area ecological health database, evaluate the water ecological health level after the scheduling, and formulate the next scheduling plan.

2. The method for optimizing the dispatching of a pumped storage power station based on energy and water ecological balance according to claim 1, characterized in that: In the S1, water area ecological health indicator information is collected, such as water level, water quality, aquatic organisms, sediment and other indicator layer information.

3. The method for optimizing the dispatching of a pumped storage power station based on energy and water ecological balance according to claim 1, characterized in that: In S2, a real-time and historical database is established to store the water ecological health criterion layer and indicator layer information, providing a data basis for the subsequent establishment of a water ecological environment health assessment model.

4. The method for optimizing the dispatching of a pumped storage power station based on energy and water ecological balance according to claim 3 is characterized in that: The water area ecological environment health evaluation model adopts the fuzzy comprehensive evaluation method to quantify the difficult-to-quantify indicators such as water quantity, water quality and aquatic organisms of pumped storage power stations, and successively constructs a set of comprehensive evaluation factors, determines the factor weight values, constructs an evaluation set for comprehensive evaluation, determines the single factor membership matrix, and performs fuzzy comprehensive evaluation. In the study of the optimal scheduling method of pumped storage power stations based on the balance of energy and water ecology, the fuzzy comprehensive evaluation method is used to evaluate the health status of water area ecology, aiming to achieve a balance between energy utilization efficiency and ecological protection. This evaluation process is of great significance for guiding the reasonable scheduling of pumped storage power stations, ensuring the sustainable health of the ecosystem, and optimizing energy management.

5. The method for optimizing the dispatching of a pumped storage power station based on energy and water ecological balance according to claim 1, characterized in that: In S4, the optimization scheduling model of the pumped-storage power station considers the balance between energy and water ecology, and optimizes the scheduling of the pumped-storage power station according to the evaluation results of the water ecological environment indicators. The model combines the current day-ahead scheduling plan to evaluate the mutual influence of the water ecological situation on the power generation plan and the grid operation. In setting the objective function, the primary goal is to minimize the impact of the pumped-storage power station on the water ecological environment, minimize the impact on the benefits of pumped-storage power generation, and at the same time pursue maximization of new energy consumption and grid stability.

6. The method for optimizing the dispatching of a pumped storage power station based on energy and water ecological balance according to claim 4 is characterized in that: The water ecological environment health assessment model is based on the Choquet fuzzy integral method to evaluate the water health status, and its specific steps are as follows: (1) Construct a comprehensive evaluation factor set; (2) Determine the weights of comprehensive evaluation factors; (3) Construct a comprehensive indicator evaluation set; (4) Determine the single factor membership matrix; (5) Fuzzy comprehensive evaluation; (6) Processing of evaluation results and calculation of scores; (7) The evaluation index results are used as the objective function and constraint conditions of the pumped storage power station dispatching model.

7. The method for optimizing the dispatching of a pumped storage power station based on energy and water ecological balance according to claim 4 is characterized in that: The fuzzy comprehensive evaluation method is a commonly used comprehensive evaluation method that uses fuzzy mathematical principles to quantify some factors with unclear boundaries and difficult to quantify. The evaluation result is not in absolute affirmation or denial, but in a fuzzy set. Its basic principle is to quantify the indicator factors related to the evaluation target by constructing a grade evaluation set and a factor evaluation matrix, and then use the fuzzy linear transformation principle to comprehensively evaluate each indicator factor, and determine the evaluation result according to the maximum membership principle.

8. The method for optimizing the dispatching of a pumped storage power station based on energy and water ecological balance according to claim 6 is characterized by: When any of the evaluation indicators such as water quantity, water quality, aquatic organisms, and sediment is Class V among the five evaluation levels, the current scheduling plan should be stopped immediately and measures should be taken to remedy the health of the water ecology; when all indicator results are greater than or equal to Class IV, they should be included in the scheduling model as constraints, and the water ecological data fed back after scheduling should be obtained to evaluate the health of the water ecology after scheduling.

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