Cross-provincial flexible scheduling method and system for pumped storage power station

Abstract

The invention discloses a cross-provincial flexible scheduling method and system for a pumped storage power station, and the method comprises the steps: monitoring the operation state of each unit of the pumped storage power station in a region, and displaying the basic data and operation conditions of each unit on a front-end web page, and formulating a pumped storage calling method according to the capacity demand of each small region in the whole large region for the pumped storage power station and the available capacity of the inter-provincial tie line, and finally realizing rear-end data transmission and development and display of a front-end data simulation platform by using a Django framework. The method has the advantages that the current situation that pumped storage is ignored under the background of vigorous development of new energy is solved, meanwhile, the blank that pumped storage participates in trans-provincial calling is filled up, the energy calling process is visually displayed through the computer technology, and the pumped storage calling frequency and efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of pumped storage power station dispatching, and in particular to a method and system for inter-provincial flexible dispatching of pumped storage power stations. Background Art

[0002] As the penetration of new energy deepens, the unstable characteristics of new energy power generation will also have an impact on the operation of the power system. Pumped storage power stations are flexible in operation and quick in response. They are special power sources in the power system that undertake multiple functions such as peak regulation, valley filling, energy storage, frequency regulation, phase regulation, standby and black start. They are of great significance in ensuring power supply, ensuring grid security, promoting new energy consumption, and promoting green and low-carbon energy transformation. China's total installed capacity of pumped storage is the largest in the world, and the scale of pumped storage installed capacity will continue to expand in the next few decades.

[0003] The level of power resources varies from region to region. There may be an oversupply of renewable energy in one province, leading to wind and power abandonment, while in some developed provinces there will be power shortages. How to use pumped storage power stations as inter-provincial power transmission hubs to transport renewable electricity over long distances and across provinces and cities has become a focus of future research and development. However, there are few examples of inter-provincial transfer of pumped storage in various provinces and cities, and there is a lack of overall monitoring and control technology for pumped storage power stations in the entire region, which has also led to the current situation where pumped storage is neglected in the power grid. Summary of the invention

[0004] In view of the defects of the prior art, the present invention provides a method and system for cross-provincial flexible dispatching of pumped-storage power stations. By establishing a pumped-storage cross-provincial call optimization model, the output data, operating conditions and power transmission conditions of each pumped-storage unit in each operation cycle are obtained, thereby improving the regulatory role of pumped-storage in the region. At the same time, a data simulation platform is also established, which can clearly observe the basic information and operating conditions of all pumped-storage power stations and units in the region. By simulating the actual power transmission of the pumped-storage unit to the designated sub-region, the dispatcher can have direct control over the power transmission situation.

[0005] In order to achieve the above invention object, the technical solution adopted by the present invention is as follows:

[0006] A cross-provincial flexible dispatching method for a pumped storage power station, comprising:

[0007] According to the output of renewable energy and the load demand of each sub-region, an objective function is established to minimize the sum of the peak-to-valley difference of the residual load in each sub-region. Taking into account the operation constraints of the pumped-storage power station, the pumped-storage reservoir capacity constraints and the transmission constraints of the sub-regional interconnection lines, an optimization model for the flexible inter-provincial call of pumped-storage power stations is constructed.

[0008] Use html and javascript to develop the operating condition detection and unit information display functions of the pumped storage power station in the region.

[0009] The Django framework is used to transfer the model solution results to the front-end page, and a pumped storage cross-provincial flexible call simulation web page is created to intuitively display the calling process.

[0010] Furthermore, the objective function of the optimization model for inter-provincial flexible call of pumped storage power stations is as follows:

[0011]

[0012] In the formula, i represents the regional power grid, k represents the pumped storage power station in the region, j represents the pumped storage unit number of the power station, N represents the total number of regional power grids, G i Represents the peak-to-valley difference of the residual load in the ith sub-region. T is an operation cycle, L′ i,t is the residual load of area i in time period t, L i,t is the demand load of area i in time period t, R i,t is the power output ratio of the power system to sub-region i during time period t, is the power generation capacity of j pumped storage unit in time period t, is the pumping power of j pumped storage unit in time period t, Output power for all other generators during time period t.

[0013] Furthermore, the operating constraints of the pumped storage unit are as follows:

[0014]

[0015] Where P k ,j HGmin , P k ,j HGmax P is the highest and lowest power of the pumped storage unit in the region; k ,j HPmax , P k ,j HPmin It is the highest and lowest power of the pumped storage unit in pumping condition. It is also stipulated that the pumping and power generation conditions are not allowed to occur simultaneously in the same pumped storage unit; is a Boolean variable, representing whether the pumped storage power station is in the pumped power generation state. It is also not allowed for the same pumped storage power station to have both pumping and power generation at the same time; x and y are Boolean values ​​representing the power generation and operation conditions of the pumped storage unit, 1 for the corresponding operating state, 0 for the corresponding static state, x k、j and k、j Indicates the operating condition detection of all pumped storage units in the area.

[0016] Furthermore, the pumped storage capacity constraints are as follows:

[0017]

[0018] In the formula They are the upper and lower water levels of the reservoir of the k pumped storage power station at time t, is the minimum and maximum storage capacity of the reservoir on pumped storage power station k, is the minimum and maximum storage capacity of the pumped storage reservoir under k, and at the same time constrains the initial water volume of the upper and lower storage capacities of each regulation cycle T of the pumped storage power station balance.

[0019] Furthermore, the constraints on inter-provincial call lines are as follows:

[0020]

[0021] is the power generated by other generators at node s at time t, The actual power supplied at node s at time t is: is the net power generation of node s at time t, is the output power of pumped storage unit j at node s at time t, when When it is a negative value, the pumped storage unit is pumping water. When it is positive, the pumped storage unit is generating electricity. and The power flowing into and out of the node s from the subgrid at time t, is the transmission power of line sj at time t, is the maximum transmission power of line sj. are the upper and lower limits of the voltage at node s, and are the voltages of nodes s and j on line sj, respectively, sj is the resistance on line sj. The above formulas specify the power balance of each transmission node, line power balance, transmission upper and lower limit constraints, voltage upper and lower limit constraints and voltage power balance.

[0022] Furthermore, the pumped-storage power station operating condition detection function includes: the operating condition and operating power of the pumped-storage unit, and the estimated time of the current operating condition.

[0023] The unit information display function includes: unit type, operating vibration range, operating condition conversion time, maximum and minimum operating power and other basic information.

[0024] Furthermore, the Django framework is used to transfer the solution model results to the front-end page, and a pumped storage cross-provincial flexible call simulation web page is created to intuitively display the call process, including:

[0025] Data storage: The grid demand load and pumped storage unit output data in period T are transferred to MySQL in relational data.

[0026] Optimization solution: read the grid load and pumped storage unit operation data in pycharm, call the gurobi solver for optimization solution, and obtain the output data, start and stop status and operation time of each unit in the next cycle.

[0027] Page display: The estimated operating time and operating conditions of the pumped storage unit are displayed on the simulation platform, and the current actual power transmission from the pumped storage power station to the regional power grid is simulated. The page refresh time is also the period T.

[0028] The present invention also discloses a pumped storage power station inter-provincial flexible dispatching system, which can be used to implement the above-mentioned pumped storage power station inter-provincial flexible dispatching method, specifically including:

[0029] Optimization model building module: Based on the output of renewable energy and regional load demand, an optimization model with the minimum sum of peak-to-valley differences of residual load as the objective function is established. Constraints include pumped storage power station operation constraints, pumped storage capacity constraints, and regional interconnection line transmission constraints.

[0030] Operation status monitoring module: Develop the operation status detection function of the pumped storage power station in the region. Use HTML and JavaScript to display the unit operation status and related information. Output real-time data display interface.

[0031] Data transmission module: Transmits the results of the model solution to the front-end page. Use the Django framework to handle data interaction. Users can obtain scheduling decisions and operating status in real time.

[0032] Simulation display module: Create a simulation web page for flexible cross-provincial deployment of pumped storage. Intuitively display the real-time effects of the dispatching process and various operations.

[0033] System architecture, including: front-end, back-end and database;

[0034] The front end is used for user interface display and interaction; the back end is used for model solving, data storage and processing; the database is used to store operation data and scheduling results.

[0035] The present invention also discloses a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned inter-provincial flexible dispatching method of pumped-storage power stations when executing the program.

[0036] The present invention also discloses a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned inter-provincial flexible scheduling method of pumped-storage power stations is implemented.

[0037] Compared with the prior art, the advantages of the present invention are:

[0038] 1. Resource balance: The flexible cross-provincial calling method provided by the present invention can effectively solve the resource balance problem between provinces and cities and promote the optimal allocation of power resources between different regions.

[0039] 2. Improve the utilization rate: By optimizing the scheduling strategy, the utilization rate of pumped storage power stations can be improved to ensure stable power supply during fluctuations in renewable energy.

[0040] 3. Fluctuation Smoothing: Effectively alleviate the volatility caused by renewable energy power generation, improve the operational stability of regional power grids, and reduce dependence on traditional energy.

[0041] 4. Real-time monitoring: The data analysis platform can monitor the operating status of the unit in real time, promptly identify and handle potential problems, and improve the safety and reliability of the system.

[0042] 5. Intuitive data display: Combining the calculation optimization data with the real-time power situation of the power grid makes the power transmission situation of the pumped storage power station more intuitive, providing important guidance for on-site dispatching.

[0043] 6. Intelligent decision support: Real-time information and optimization suggestions provided by the data analysis platform help power dispatchers make smarter and more scientific decisions.

[0044] 7. Improve scheduling flexibility: The system can dynamically adjust scheduling strategies based on real-time data to improve the flexibility and response speed of overall scheduling.

[0045] 8. Support the development of renewable energy: The present invention provides technical support for the widespread application of renewable energy and promotes the sustainable development of renewable energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a framework diagram of the inter-provincial flexible dispatching method of a pumped storage power station according to an embodiment of the present invention;

[0047] Figure 2 It is a pumped storage data flow diagram of an embodiment of the present invention;

[0048] Figure 3 It is a schematic diagram of the peak-shaving effect on the two regional power grids AB after the pumped storage system participates in inter-provincial calls according to an embodiment of the present invention. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and examples.

[0050] like Figure 1 As shown,

[0051] Step 1: According to the basic parameters of the pumped storage power station and the demand for pumped storage capacity of the sub-grid, the objective function is to minimize the sum of the peak and valley of the residual load in each region, and the operation constraints of the pumped storage power station and the grid tie line constraints are used to build an optimization model for the cross-provincial flexible call of the pumped storage power station;

[0052] The objective function of the optimization model for inter-provincial call of regional pumped storage in step 1 is:

[0053]

[0054] is the power generated by other generators at node s at time t, The actual power supplied at node s at time t is: is the net power generation of node s at time t, is the output power of pumped storage unit j at node s at time t, when When it is a negative value, the pumped storage unit is pumping water. When it is positive, the pumped storage unit is generating electricity. and The power flowing into and out of the node s from the subgrid at time t, is the transmission power of line sj at time t, is the maximum transmission power of line sj. are the upper and lower limits of the voltage at node s, and are the voltages of nodes s and j on line sj, respectively, sj is the resistance on line sj. The above formulas specify the power balance of each transmission node, line power balance, transmission upper and lower limit constraints, voltage upper and lower limit constraints and voltage power balance.

[0055] In this case, a pumped storage power station is used to transmit electricity to the other two provincial power grids. Other power generation equipment includes photovoltaic and wind power. Considering that it is a multi-objective function, a weighted method is used to make it equivalent to one goal. According to the load characteristics of the provincial power grid, the objective function is converted into the following after the residual load is normalized:

[0056]

[0057] G i ′ is the normalized peak-to-valley difference of the i-th region, is the maximum load of the i-th sub-area, w i is the weighting coefficient, which is determined according to the agreement between sub-regional power grids.

[0058] Further add constraints to the optimization model for inter-provincial deployment of regional pumped storage

[0059] (1) Operation constraints of pumped storage units

[0060]

[0061] x k,i +y k,i ≤1

[0062]

[0063] Where P k ,j HGmin , P k ,j HGmax P is the highest and lowest power of the pumped storage unit in the region. k ,j HPmax , P k ,j HPmin It is the highest and lowest power of the pumped storage unit in pumping condition. It is also stipulated that the pumping and power generation conditions are not allowed to appear simultaneously in the same pumped storage unit. It is a Boolean variable, representing whether the pumped storage power station is in the pumped power generation state. It is also not allowed for the same pumped storage power station to be pumping or generating electricity at the same time.

[0064] (2) Pumped storage capacity constraints

[0065]

[0066] In the formula They are the upper and lower water levels of the reservoir of the k pumped storage power station at time t, is the minimum and maximum storage capacity of the reservoir on pumped storage power station k, is the minimum and maximum storage capacity of the pumped storage reservoir under k, and at the same time constrains the initial water volume of the upper and lower storage capacities of each regulation cycle T of the pumped storage power station balance.

[0067] (3) When making inter-provincial calls, there are multiple transmission lines to choose from. Key transmission nodes are selected for tie line power control, and the constraints for establishing inter-provincial tie lines are as follows:

[0068]

[0069] is the power generated by other generators at node s at time t, The actual power supplied at node s at time t is: is the net power generation of node s at time t, is the output power of pumped storage unit j at node s at time t, when When it is a negative value, the pumped storage unit is pumping water. When it is positive, the pumped storage unit is generating electricity. and The power flowing into and out of the node s from the subgrid at time t, is the transmission power of line sj at time t, is the maximum transmission power of line sj. are the upper and lower limits of the voltage at node s, and are the voltages of nodes s and j on line sj, respectively, sj is the resistance on line sj. The above formulas specify the power balance of each transmission node, line power balance, transmission upper and lower limit constraints, voltage upper and lower limit constraints and voltage power balance.

[0070] And establish the voltage matrix between each node for reference and calculation:

[0071]

[0072] V t ≥0

[0073] rank(V t )=1

[0074] v t is the column vector of the voltage of each node at time t, V t is the positive definite matrix of the DC line voltage at time t

[0075] Step 3: Use the gurobi solver to solve the established model, and finally obtain the output of each pumped storage unit in the next cycle and the sub-region to which electricity will be transmitted.

[0076] Get the output of the pumped storage unit in the next cycle, transmit the data to the front-end page, and store the solution results in the database. Figure 3 After the pumped storage power station participates in inter-provincial peak regulation, the load curves of the power grid in two sub-regions, AB, are formed.

[0077] Step 4: After obtaining the calculation results, the detected operating status of the pumped storage unit and the transmission process of the pumped storage unit to the sub-region are displayed on the front-end page, such as Figure 2 ;The data transmission path is as follows:

[0078] Step 4.1: First, upload the basic parameters of each power station, including: the maximum and minimum operating power of the power station, head, type of pumped storage units in the power station, operating vibration range, etc. These contents will be saved in the basic information database of the power station and directly displayed on the front-end page.

[0079] Step 4.2: Then, the regional power demand and pumped storage unit operating conditions of each calculation cycle within the day are imported into the inter-provincial flexible call model for calculation, and the output of the pumped storage unit to each sub-region in the next cycle is obtained and saved in the database.

[0080] Step 4.3: Next, import the pymysql package in Python to read the calculated data in the database, use the Django framework to transfer it to the web page, and use HTML, JavaScript and CSS languages ​​for interface design.

[0081] Step 4.4: Finally, according to the output of the pumped-storage units to different regions, the energy transmission process is simulated to realize the intuitive display of the basic data of the pumped-storage power station and the display and update of the transmission process.

[0082] In another embodiment of the present invention, a pumped storage power station inter-provincial flexible dispatching system is provided, which can be used to implement the above-mentioned pumped storage power station inter-provincial flexible dispatching method, specifically including:

[0083] Optimization model building module: Based on the output of renewable energy and regional load demand, an optimization model with the minimum sum of peak-to-valley differences of residual load as the objective function is established. Constraints include pumped storage power station operation constraints, pumped storage capacity constraints, and regional interconnection line transmission constraints.

[0084] Operation status monitoring module: Develop the operation status detection function of the pumped storage power station in the region. Use HTML and JavaScript to display the unit operation status and related information. Output real-time data display interface.

[0085] Data transmission module: Transmits the results of the model solution to the front-end page. Use the Django framework to handle data interaction. Users can obtain scheduling decisions and operating status in real time.

[0086] Simulation display module: Create a simulation web page for flexible cross-provincial deployment of pumped storage. Intuitively display the real-time effects of the dispatching process and various operations.

[0087] System architecture, including: front-end, back-end and database;

[0088] The front end is used for user interface display and interaction; the back end is used for model solving, data storage and processing; the database is used to store operation data and scheduling results.

[0089] In another embodiment of the present invention, a terminal device is provided, the terminal device including a processor and a memory, the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc., which are the computing core and control core of the terminal, which are suitable for implementing one or more instructions, and are specifically suitable for loading and executing one or more instructions to implement the corresponding method flow or corresponding functions; the processor described in the embodiment of the present invention can be used for the operation of the inter-provincial flexible scheduling method of pumped storage power stations.

[0090] In another embodiment of the present invention, the present invention further provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a terminal device for storing programs and data. It can be understood that the computer-readable storage medium here can include both the built-in storage medium in the terminal device and the extended storage medium supported by the terminal device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory, or a non-volatile memory (non-volatile memory), such as at least one disk storage.

[0091] One or more instructions stored in a computer-readable storage medium can be loaded and executed by a processor to implement the corresponding steps of the cross-provincial flexible scheduling method of pumped-storage power stations in the above-mentioned embodiment; one or more instructions in the computer-readable storage medium are loaded and executed by the processor.

[0092] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented 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.

[0093] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0094] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0095] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0096] Those skilled in the art will appreciate that the embodiments described herein are intended to help readers understand the implementation methods of the present invention, and should be understood that the protection scope of the present invention is not limited to such special statements and embodiments. Those skilled in the art can make various other specific variations and combinations that do not deviate from the essence of the present invention based on the technical revelations disclosed by the present invention, and these variations and combinations are still within the protection scope of the present invention.

Claims

1. A cross-provincial flexible dispatching method for pumped storage power stations, characterized in that: include: According to the output of renewable energy and the load demand of each sub-region, the minimum sum of the peak-to-valley difference of the residual load in each sub-region is established as the objective function. Considering the operation constraints of the pumped-storage power station, the pumped-storage reservoir capacity constraints and the transmission constraints of the sub-regional interconnection lines, an optimization model for the flexible inter-provincial call of the pumped-storage power station is constructed. Use HTML and JavaScript to develop the pumped storage power station operation condition detection and unit information display functions in the region; The Django framework is used to transfer the model solution results to the front-end page, and a pumped storage cross-provincial flexible call simulation web page is created to intuitively display the calling process.

2. A method for inter-provincial flexible dispatching of pumped storage power stations according to claim 1, characterized in that: The objective function of the optimization model for inter-provincial flexible call of pumped storage power stations is as follows: In the formula, i represents the regional power grid, k represents the pumped storage power station in the region, j represents the pumped storage unit number of the power station, N represents the total number of regional power grids, G i Represents the peak-to-valley difference of the residual load in the ith sub-region. T is an operation cycle, L' i,t is the residual load of area i in time period t, L i,t is the demand load of area i in time period t, R i,t is the power output ratio of the power system to sub-region i during time period t, is the power generation capacity of j pumped storage unit in time period t, is the pumping power of j pumped storage unit in time period t, Output power for all other generators during time period t.

3. The inter-provincial flexible dispatching method of a pumped storage power station according to claim 1, characterized in that: The operating constraints of pumped storage units are as follows: x k,i +y k,i ≤1 Where P k ,j HGmin , P k ,j HGmax P is the highest and lowest power of the pumped storage unit in the region; k ,j HPmax , P k ,j HPmin It is the highest and lowest power of the pumped storage unit in pumping condition. It is also stipulated that the pumping and power generation conditions are not allowed to occur simultaneously in the same pumped storage unit; is a Boolean variable, representing whether the pumped storage power station is in the pumped power generation state. It is also not allowed for the same pumped storage power station to have both pumping and power generation at the same time; x and y are Boolean values ​​representing the power generation and operation conditions of the pumped storage unit, 1 for the corresponding operating state, 0 for the corresponding static state, x k、j and k、j Indicates the operating condition detection of all pumped storage units in the area.

4. The inter-provincial flexible dispatching method of a pumped storage power station according to claim 1, characterized in that: The pumped storage capacity constraints are as follows: In the formula They are the upper and lower water levels of the reservoir of the k pumped storage power station at time t, is the minimum and maximum storage capacity of the reservoir on pumped storage power station k, is the minimum and maximum storage capacity of the pumped storage reservoir under k, and at the same time constrains the initial water volume of the upper and lower storage capacities of each regulation cycle T of the pumped storage power station balance.

5. The inter-provincial flexible dispatching method of a pumped storage power station according to claim 1, characterized in that: The restrictions on inter-provincial call lines are as follows: is the power generated by other generators at node s at time t, The actual power supplied at node s at time t is: is the net power generation of node s at time t, is the output power of pumped storage unit j at node s at time t, when When it is a negative value, the pumped storage unit is pumping water. When it is positive, the pumped storage unit is generating electricity. and The power flowing into and out of the node s from the subgrid at time t, is the transmission power of line sj at time t, is the maximum transmission power of line sj. are the upper and lower limits of the voltage at node s, and are the voltages of nodes s and j on line sj, respectively, sj is the resistance on line sj. The above formulas specify the power balance of each transmission node, line power balance, transmission upper and lower limit constraints, voltage upper and lower limit constraints and voltage power balance.

6. The inter-provincial flexible dispatching method of a pumped storage power station according to claim 1, characterized in that: The pumped storage power station operating condition detection function includes: pumped storage unit operating condition, operating power, and estimated time of current operating condition; The unit information display function includes: unit type, operating vibration range, operating condition conversion time, maximum and minimum operating power and other basic information.

7. The inter-provincial flexible dispatching method of a pumped storage power station according to claim 1, characterized in that: The Django framework is used to transfer the solution model results to the front-end page, and a pumped storage cross-provincial flexible call simulation web page is created to intuitively display the call process, including: Data storage: The grid demand load and pumped storage unit output data in period T are transferred to MySQL in relational data format; Optimization and solution: read the grid load and pumped storage unit operation data in pycharm, call the gurobi solver for optimization and solution, and obtain the output data, start and stop status and operation time of each unit in the next cycle; Page display: The estimated operating time and operating conditions of the pumped storage unit are displayed on the simulation platform, and the current actual power transmission from the pumped storage power station to the regional power grid is simulated. The page refresh time is also the period T.

8. A cross-provincial flexible dispatching system for pumped storage power stations, characterized by: The system can be used to implement a method for cross-provincial flexible dispatching of a pumped storage power station as described in any one of claims 1 to 7, specifically comprising: Optimization model building module: Based on the output of renewable energy and regional load demand, an optimization model with the minimum sum of peak-to-valley differences of residual load as the objective function is established; the constraints include pumped storage power station operation constraints, pumped storage capacity constraints and regional interconnection line transmission constraints; Operation status monitoring module: develop the operation condition detection function of the pumped storage power station in the region; use HTML and JavaScript to display the unit operation status and related information; output real-time data display interface; Data transmission module: transmits the results of solving the model to the front-end page; uses the Django framework to process data interaction; users can obtain scheduling decisions and operating status in real time; Simulation display module: Create a simulation web page for flexible cross-provincial call of pumped storage; intuitively display the real-time effects of the dispatching process and various operations; System architecture, including: front-end, back-end and database; The front end is used for user interface display and interaction; the back end is used for model solving, data storage and processing; the database is used to store operation data and scheduling results.

9. A computer device, characterized in that: The invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the inter-provincial flexible dispatching method of a pumped-storage power station as claimed in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, which, when executed by a processor, implements the inter-provincial flexible scheduling method for pumped-storage power stations as described in one of claims 1 to 7.

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