Energy dispatching system and method for integrated photovoltaic storage and charging power station based on robust control

Abstract

The present invention discloses an energy dispatching system and method for a photovoltaic storage and charging integrated power station based on robust control. In the present invention, an AC bus coupling system is used as a framework solution, that is, an AC bus is used for the power grid in the charging station in the photovoltaic storage and charging integrated power station of the system, and the energy dispatching of the photovoltaic storage and charging integrated power station is carried out by a method based on robust control. In order to cope with the uncertainty of photovoltaic output and load demand in the planning of the photovoltaic storage and charging integrated power station, a model of a robust control method based on energy change is established, which can realize the orderly coordination of the "source-grid-load-storage" elements on the basis of the uncertainty of photovoltaic power generation and power load; it can ensure the stability and economy of the operation of the photovoltaic storage and charging integrated charging station and improve the comprehensive benefits.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy dispatching of photovoltaic power generation, energy storage and charging pile integrated power stations, and relates to a photovoltaic storage and charging integrated energy dispatching system and method based on robust control. Background Art

[0002] With the progress of the times and social development, human demand for energy is gradually increasing. Traditional fossil energy, mainly coal, oil and natural gas, is still the world's largest source of energy supply, accounting for 80% of the world's total energy supply; the transportation sector, as an important part of maintaining the normal operation of society, accounts for 26.2% of the world's total energy supply, among which traditional fossil energy occupies a dominant position in the energy consumption of the transportation sector, and road traffic, mainly fuel vehicles, is the largest source of its energy consumption, accounting for 64% of the total energy consumption in the transportation sector. Therefore, the large-scale development and utilization of traditional fossil energy in the transportation sector, especially road traffic, is one of the important reasons for the current energy crisis and environmental pollution. In order to solve the above-mentioned automobile pollution problem, countries around the world, including China, are committed to promoting the application of new energy in the transportation sector, and its technological development has gradually brought electric vehicles into people's daily lives. As a means of transportation with electricity as the main energy source, electric vehicles have higher energy conversion efficiency, thereby achieving energy conservation and emission reduction and providing a green travel mode. With the innovation of technology and the introduction of relevant policies, the number of electric vehicles in the world has been rising in recent years. The development of electric vehicles is inseparable from the construction and research of charging facilities. The reasonable planning and operation of charging facilities is an important guarantee for the popularization of electric vehicles.

[0003] With the popularization of new energy, especially the popularization of photovoltaic power generation systems, the construction of "photovoltaic storage charging" multifunctional integrated stations is increasing day by day, realizing the integration of electric vehicle charging systems with photovoltaic power generation systems and energy storage systems, which has a great promoting effect on the application of electric vehicles, photovoltaics and energy storage technologies: on the one hand, photovoltaic power generation systems are used to supplement electric vehicles with electricity, realizing green environmental protection from the perspective of energy supply; on the other hand, photovoltaic power generation can be consumed locally, and energy storage equipment can be used to reduce its negative impact on the public power grid, while reducing the loss caused by long-distance power transmission. In order to achieve the above functions, the charging station monitoring system needs to formulate scientific and reasonable energy scheduling strategies and operation plans according to the operating status of the photovoltaic power generation system and energy storage system in the station and the charging load of electric vehicles, coordinate the energy interaction between the energy systems in the station and between the power grid in the station and the public power grid, and reduce energy costs while realizing the normal charging function of electric vehicles, thereby improving the operating efficiency of the charging station.

[0004] The integrated photovoltaic storage and charging station is equivalent to setting up a buffer zone between electric vehicles and the public power grid. By coordinating and controlling the energy flow of the public power grid's exchange of electricity, photovoltaic power generation, and energy storage charging and discharging, it can meet the charging needs of electric vehicles while improving the level of photovoltaic local consumption and reducing the negative impact of large-scale electric vehicle charging loads. In order to ensure the feasibility and superiority of the operation of the integrated photovoltaic storage and charging station, it is of great significance to study the energy scheduling optimization strategy of the power grid within the station. In addition to increasing the proportion of photovoltaic self-consumption, shaving peaks and filling valleys, smoothing charging load fluctuations and reducing transformer loads, and ensuring charging stability, the main value of the integrated photovoltaic storage and charging system also has the following functions:

[0005] 1) Energy storage and consumption improves the self-use rate, reduces electricity costs through peak-valley price differences, increases the self-consumption ratio of photovoltaic green electricity, and shortens the commercial payback period;

[0006] 2) Multiple charging piles work simultaneously to provide stable power output, ensuring the best charging experience for car owners;

[0007] 3) Photovoltaic green electricity and energy storage to reduce peak loads and support the expansion of charging piles in the future;

[0008] 4) An integrated photovoltaic, energy storage and charging system to achieve power dispatch between photovoltaics, energy storage, power grid and charging piles, improve green electricity consumption, and reduce the requirements for distribution capacity in service areas. Summary of the invention

[0009] The purpose of the present invention is to address the shortcomings of existing photovoltaic storage and charging system control technology and provide an energy scheduling system and method for an integrated photovoltaic storage and charging power station based on robust control. The method adopts a traditional charging station that can be combined with a photovoltaic power generation system to form an integrated photovoltaic storage and charging charging station. Scheduling is performed based on a robust control method, which can achieve orderly coordination of the "source-grid-load-storage" elements based on the uncertainty of photovoltaic power generation and power load; ensure the stability and economy of the operation of the integrated photovoltaic storage and charging charging station, and improve the comprehensive benefits.

[0010] The technical solution adopted by the present invention is:

[0011] The invention discloses an energy dispatching system for a photovoltaic storage and charging integrated power station based on robust control. The photovoltaic storage and charging integrated power station comprises an in-station power grid, a photovoltaic power generation system, a battery system and a charging pile system. The in-station power grid of the charging station uses an AC bus. When the in-station power grid interacts with the public power grid, an energy storage converter is required. The battery system is connected to the energy storage converter. The photovoltaic power generation system converges photovoltaic power to the AC bus through an inverter and an AC junction box. The power of the public power grid is transmitted to the AC bus through a transformer. The charging pile system is directly connected to the AC bus to charge the car. The photovoltaic storage and charging integrated power station also comprises an in-station data monitoring center and an energy dispatching system. The in-station data monitoring center is used to obtain the operating data of each part in the station and the peak and valley time periods of the public power grid. The energy dispatching system obtains an energy dispatching strategy based on robust control according to the data of the in-station data monitoring center, coordinates and controls the in-station photovoltaic power generation system, the battery system and the public power grid to jointly supply power to the charging pile system to meet the charging needs of electric vehicles.

[0012] In the above technical scheme, further, the communication system of the integrated photovoltaic storage and charging charging station includes an in-station communication system and an out-station communication system. The in-station communication system is used to realize data signal transmission between the in-station data monitoring center and each subsystem controller, and between the subsystem controller and the equipment in the subsystem, so as to realize the management of photovoltaic power generation function, energy storage charging and discharging function and electric vehicle charging function. The subsystems are photovoltaic power generation system, battery system and charging pile system; the out-station communication system is used to realize data signal transmission between the in-station data monitoring center of multiple charging stations and the charging station cluster monitoring center and the public power grid dispatching center, so as to realize the charging station management department and the public power grid management department to monitor the working status and operation dispatch of the charging station.

[0013] Furthermore, the data monitoring center in the station collects various dispatching information of the battery system, photovoltaic power generation system, charging pile system and public power grid in real time, and can display and analyze important data in real time so that users can view the statistical analysis results of the system's specified data in real time or select a specific battery group to view its statistical analysis data. The important data include photovoltaic power generation power, load power, power of each battery, charging and discharging time, and number of faulty batteries.

[0014] Furthermore, the control principle of the energy dispatching system is: give priority to using the electricity of the photovoltaic power generation system and the battery system to meet the charging needs of electric vehicles, and purchase electricity from the public power grid when the above electricity is insufficient, so as to maximize the utilization of the photovoltaic power generation system and the battery system; and give priority to consuming photovoltaic power locally and reducing transmission losses, and try not to purchase electricity from the public power grid during peak power hours.

[0015] Furthermore, the energy flow achieved by the energy scheduling system includes:

[0016] During off-peak hours, when the power generated by the photovoltaic power generation system is greater than the charging load of the charging pile system, the excess photovoltaic power will be used to charge the battery system; when the power generated by the photovoltaic power generation system is less than the charging load of the charging pile system, it will be supplemented by the public power grid;

[0017] During the off-peak hours, when the power generated by the photovoltaic power generation system is greater than the charging load of the charging pile system, the excess photovoltaic power will be used to charge the battery system; when the power generated by the photovoltaic power generation system is less than the charging load of the charging pile system, it will be supplied by the battery system first and then supplemented by the public power grid;

[0018] During peak power periods, when the power generation capacity of the photovoltaic power generation system is greater than the charging load of the charging pile system, the excess photovoltaic power will first be supplied to the public power grid; when the power generation capacity of the photovoltaic power generation system is less than the charging load of the charging pile system, it will first be supplied by the battery system and then supplemented by the public power grid.

[0019] A method for energy dispatching of a photovoltaic storage and charging integrated power station based on robust control, based on the system described in any one of the above items, in order to cope with the uncertainty of photovoltaic output and load demand in the planning of photovoltaic storage and charging integrated power station, a model of a robust control method based on energy change is established and constraint conditions are established according to the robust control principle, including the following:

[0020] Charging power requirement P D (t) is composed of photovoltaic power generation power P1(t), battery energy storage power P2(t) and public grid supply power P3(t). To meet the charging demand, it is only necessary to ensure that the sum of the charging power of the three at any time is greater than the charging power P D (t) demand; and the photovoltaic power consumed in a certain period of time P PV2 (t) should not be greater than the photovoltaic power generation power P during this period PV1 (t), power constraints are established according to the robust control principle:

[0021] P D (t)≤P1(t)+ P2(t)+ P3(t) Formula 1

[0022] P PV1 (t)≥P1(t)+ P4(t)+ P6(t) Formula 2

[0023] Where P D (t) is the charging power requirement of electric vehicles,

[0024] P PV1 (t) is the actual power generated by the photovoltaic power generation system,

[0025] P1(t) is the power supplied by the photovoltaic power generation system to the charging pile.

[0026] P2(t) is the power supplied by the energy storage battery to the charging pile.

[0027] P3(t) is the power supplied by the public grid to the charging pile.

[0028] P4(t) is the power used by the photovoltaic power generation system to charge the battery system.

[0029] P5(t) is the power of the solar public grid charging the battery energy storage system.

[0030] P6(t) is the power transmitted from the photovoltaic power generation system to the public grid.

[0031] P PV1 (t) is an uncertain quantity, that is, the power generation can vary with the weather within the range of 0% to 100% of the installed capacity;

[0032] The maximum access load and maximum on-grid power allowed by the power grid must be met; the amount of charging power in the integrated power station must be within the specified range, and the power constraints for on-grid access and power consumption must be established based on the robust control principle:

[0033] M1≥P3(t)+ P5(t) Formula 3

[0034] P6(t) ≤ M2 Formula 4

[0035] M1 is the maximum access load allowed by the public power grid for this charging station; M2 is the maximum power carried by the access line;

[0036] The output of the battery system must meet the maximum output and minimum output limits. The constraints of the energy storage system are established according to the robust control principle:

[0037] Formula 5

[0038] E b.min ≤E b (t) ≤E b.max Formula 6

[0039] Among them, E b (t) is the real-time capacity of energy storage, ax b is the initial charge of the energy storage, η1 and η2 are the efficiency of charging and discharging of the energy storage, E b.min 、E b.max are the upper and lower limits of the energy storage capacity, respectively; P2(i) is the real-time power of the energy storage battery charging the charging pile at time i; P4(i) is the real-time power of the photovoltaic power generation system charging the battery system at time i; and P5(i) is the real-time power of the photovoltaic public grid charging the battery energy storage system at time i;

[0040] In order to make better use of the photovoltaic power generation system, photovoltaic power generation should be consumed by electric vehicles as much as possible, that is, self-production and self-consumption to the maximum extent. According to the robust control principle, the proportion of photovoltaic power supply to electric vehicles should meet the minimum requirements:

[0041] Formula 7

[0042] Where R is the minimum ratio of photovoltaic power generation system to grid power supply;

[0043] Too many charging piles in a photovoltaic power station may cause the charging facilities to be idle and not fully utilized. Too few charging piles may cause congestion. Therefore, it is necessary to set the equipment utilization rate of the photovoltaic power station charging piles, which are:

[0044] Formula 8

[0045] ρ j min is the minimum utilization rate of the charging pile, ρ j is the utilization rate of charging piles;

[0046] Based on robustness analysis, the models for optimizing the energy dispatch strategy of the photovoltaic storage charging station include the model F1 with the minimum operation cost throughout the day and the model F2 with the minimum mean square deviation of the load fluctuation of the photovoltaic storage charging station to the power grid, as follows:

[0047] Formula 9

[0048] Where i is the control sampling point, T is the number of sampling points; is the electricity price that the smart charging station purchases from the power grid during the i-th period, is the average power purchased from the grid in period i; is the sampling time period;

[0049] Formula 10

[0050] is the average load power of the integrated photovoltaic storage and charging station throughout the day, for:

[0051] Formula 11

[0052] in, is the total charging power of electric vehicles in the photovoltaic storage and charging integrated power station in time period i; is the average charging and discharging power of the energy storage unit in the i-th period, where positive values ​​represent charging and negative values ​​represent discharging; is the average power of photovoltaic power generation of the photovoltaic storage charging station in period i.

[0053] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements any of the methods described above.

[0054] An electronic device, comprising:

[0055] one or more processors;

[0056] A memory for storing one or more programs;

[0057] When the one or more programs are executed by the one or more processors, the one or more processors implement any of the methods described above.

[0058] The beneficial effects of the present invention are:

[0059] The present invention uses the AC bus coupling system as a framework solution, proposes an energy dispatching system for an integrated photovoltaic storage and charging power station based on a robust method, describes the coupling modes of the photovoltaic power generation system, the energy storage system and the charging pile, and realizes the energy dispatching of the integrated photovoltaic storage and charging power station based on a robust control method. It can ensure the stability and economy of the operation of the integrated photovoltaic storage and charging charging station and improve the comprehensive benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 This is the electrical system diagram of the integrated photovoltaic storage and charging station;

[0061] Figure 2 This is the electrical system framework diagram of the integrated photovoltaic storage and charging station based on the AC coupling system;

[0062] Figure 3 It is the charging and discharging period diagram of photovoltaic power generation system and energy storage system;

[0063] Figure 4 It is the working logic diagram of photovoltaic power generation, power grid, energy storage system and charging pile system;

[0064] Figure 5 Energy dispatching system mode 1 for integrated photovoltaic storage and charging power station;

[0065] Figure 6 Energy dispatching system mode 2 for integrated photovoltaic storage and charging power station;

[0066] Figure 7 Energy dispatching system mode 3 for integrated photovoltaic storage and charging power station;

[0067] Figure 8 Energy dispatching system mode 4 for integrated photovoltaic storage and charging power station;

[0068] Fig. 9 Energy dispatching system mode 5 for integrated photovoltaic storage and charging power station;

[0069] Fig.10 Energy dispatching system mode 6 for integrated photovoltaic storage and charging power station;

[0070] Fig.11 Energy dispatching system mode 7 for integrated photovoltaic storage and charging power station;

[0071] Fig.12 Energy dispatching system mode 8 for integrated photovoltaic storage and charging power station;

[0072] Fig.13 Energy dispatching system mode 9 for integrated photovoltaic storage and charging power station;

[0073] Fig.14 Energy dispatching system mode 10 for integrated photovoltaic storage and charging power station;

[0074] Fig.15 Energy dispatching system model 11 for integrated photovoltaic storage and charging power station;

[0075] Fig.16 Energy dispatching system mode 12 for integrated photovoltaic storage and charging power station;

[0076] Fig.17 Energy dispatching system mode 13 for integrated photovoltaic storage and charging power station;

[0077] Fig.18 Energy dispatching system model for integrated photovoltaic storage and charging power station 14;

[0078] Fig.19 Energy dispatching system model for integrated photovoltaic storage and charging power station 15;

[0079] Fig. 20 Energy dispatching system mode for integrated photovoltaic storage and charging power station 16;

[0080] Fig.21 Energy dispatching system model for integrated photovoltaic storage and charging power station 17;

[0081] Fig. 22 Energy dispatching system model for integrated photovoltaic storage and charging power station 18;

[0082] Fig.23 This is the energy relationship diagram of the integrated photovoltaic storage and charging power station;

[0083] Fig.24 This is a diagram of the energy dispatching system platform for an integrated photovoltaic, storage and charging power station. DETAILED DESCRIPTION

[0084] In order to make the above-mentioned purpose, features and advantages of the present invention more obvious and easy to understand, the specific implementation mode of the present invention is described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below. The technical features in each embodiment of the present invention can be combined accordingly without conflicting with each other.

[0085] Traditional integrated photovoltaic charging stations introduce photovoltaic power into the power grid within the station, and use it together with the public power grid outside the station to power the charging pile system. At the same time, when there is sufficient photovoltaic power generation, the surplus power can also be sent to the grid, which is essentially equivalent to the energy dispatching by the grid side after the photovoltaic distributed power source is connected to the grid. Integrated photovoltaic charging stations can, to a certain extent, guarantee the charging needs of electric vehicles when the photovoltaic power generation output is sufficient during the day, but the volatility of photovoltaic power generation output will have an adverse impact on the operation of the charging station and the distribution network, and its operating efficiency and flexibility are still subject to some restrictions.

[0086] In order to solve the problem of instability of photovoltaic power generation system, the present invention uses a robust control method based on the photovoltaic charging integrated charging station to control the energy storage system, power grid system, etc. to form a photovoltaic storage charging integrated charging station. The overall structure of its electrical system is as follows: Figure 1 As shown. The photovoltaic storage and charging integrated power station coordinates and controls the photovoltaic power generation system, battery system and public power grid in the station to supply power to the charging pile system according to the energy scheduling strategy formulated by the data monitoring center in the station to meet the charging needs of electric vehicles. The robust control method control strategy is as follows: when the photovoltaic power generation output is sufficient, the surplus electric energy is absorbed and stored, and the photovoltaic power generation is realized on-site, which reduces the negative impact of the output volatility of photovoltaic power generation on the public power grid when the photovoltaic power generation is connected to the grid. It can also be used as a backup energy source to supplement power generation to cope with possible large-scale electric vehicle charging loads. The robust control characteristics are used to ensure that the stability, gradualness and dynamic characteristics of the photovoltaic storage and charging integrated power station are not affected, reduce the impact on the public power grid, and improve the stability, safety and robustness of the charging station and the public power grid.

[0087] According to the different bus types and current transmission forms used in the power grid within the station, the electrical system of the photovoltaic storage and charging integrated charging station based on the robust control method of the present invention adopts an AC coupling system. The electrical system framework can be as follows Figure 2, the power grid in the charging station will use the AC bus. When the power grid in the charging station interacts with the public power grid, it needs to be charged through the energy storage inverter. The photovoltaic power generation system converges the photovoltaic power to the bus through the inverter and the AC junction box. The power of the public power grid is transmitted to the AC bus through the transformer, and the charging pile is directly connected to the charging pile to charge the car. The power grid, photovoltaic power generation system, and energy storage system are coupled through the AC bus, so that the static operating points of the three are independent, so it is easier to adjust the static operating point. If it is a DC bus coupling, the static operating points of the three circuits affect each other, and because the input and output impedances of each stage are certain in DC coupling, impedance transformation cannot be performed, and high-efficiency matching is difficult to achieve during direct coupling. This is extremely critical to the implementation of the present invention.

[0088] At present, under normal circumstances, without considering the grid electricity price, the charging and discharging of the photovoltaic and energy storage system of the integrated photovoltaic charging station is as follows: Figure 3 As shown in the figure: when the power generation of the photovoltaic power generation system is greater than the power load of the charging pile, the photovoltaic power generation system will first charge the energy storage system, and then the energy storage system will be connected to the grid after it is fully charged. When the photovoltaic power generation power is less than the power consumption of the charging pile, the energy storage system will discharge. If the energy storage power cannot meet the load, electric energy will be introduced from the grid to ensure the stable operation of the charging pile and reduce the impact of the photovoltaic power generation system on the grid.

[0089] In the above technical solution, a robust control method is introduced to ensure the stable operation of the charging pile when the grid, photovoltaic power generation system and energy storage system have uncertainties within a certain range. The core logic is as follows: Figure 4 As shown. The logic is as follows:

[0090] Step 1: When the photovoltaic power generation power is greater than the charging load of the charging pile, the excess photovoltaic power will charge the energy storage system battery;

[0091] Step 2: The energy storage system battery is fully charged, and the photovoltaic power generation system generates electricity directly into the national grid;

[0092] Step 3: When the photovoltaic power generation power is less than the charging load of the charging pile, the energy storage system battery discharges;

[0093] Step 4: If the energy storage system battery meets the load demand, the photovoltaic and energy storage systems maintain the charging load;

[0094] Step 5: If the energy storage system battery does not meet the load demand, the grid and the photovoltaic system maintain the charging load;

[0095] Step 6: When both the photovoltaic power generation system and the energy storage system have no power, the grid directly supplies power to meet the charging load.

[0096] Due to the uncertainty, dynamics and flexibility of photovoltaic power generation, the present invention uses energy scheduling strategies to achieve orderly coordination of the "source-grid-load-storage" elements; provide "sequence" for the normal operation of energy, reconstruct the energy supply, consumption and management mode of the charging station, and ensure the stability and economy of the operation of the integrated photovoltaic storage and charging station. The monitoring system of the power station needs to monitor and analyze the photovoltaic power, battery power, and electric vehicle charging load in the station in real time. The present invention formulates corresponding energy scheduling strategies and hands them over to the corresponding action mechanism for execution. Among them, the stable and rapid transmission of data transmission and control instructions is the basis for achieving the above purpose, and the charging station needs to build a scientific and reasonable communication system as support.

[0097] The communication system of the photovoltaic storage and charging integrated charging station is an important part of the entire charging station, and is functionally divided into an in-station communication system and an out-station communication system. The in-station communication system is mainly responsible for the data signal transmission between the station-level monitoring center and each subsystem controller, and between the subsystem controller and the equipment, to achieve the management of photovoltaic power generation functions, energy storage charging and discharging functions, and electric vehicle charging functions; the out-station communication system is responsible for the data signal transmission between the station-level monitoring center of multiple charging stations and the charging station cluster monitoring center and the public power grid dispatching center, to achieve the working status monitoring and operation dispatching of the charging station by the charging station management department and the public power grid management department.

[0098] To realize the energy dispatching strategy of the photovoltaic storage and charging integrated power station energy dispatching system and method based on robust control, the energy dispatching system software platform is the key. The energy dispatching system software platform must follow the principle of generalization and support various mainstream operating systems and relational database software, such as Windows, LINUX, UNIX and other operating systems, Oracle, SQL Server, My SQL and other database software. Network transmission should uniformly adopt TCP / IP protocol. The application software platform is built on the basis of the system software platform, also known as the distributed real-time operating environment. It includes distributed system management and monitoring, memory-based real-time database, multi-level multi-protocol network communication structure, etc.

[0099] The energy dispatch system mainly manages and monitors complex photovoltaic storage and charging integrated power stations. It needs effective means to manage the hardware and software objects in the system, monitor the operating status of the entire system, detect hardware and software failures, and automatically or manually reconstruct the system configuration in the event of a failure to achieve efficient and reliable operation. It mainly includes the following functions: system configuration management and system monitoring and control.

[0100] The basis for realizing the management and control of the photovoltaic storage and charging integrated charging station system is network technology. Among them, the network technology based on the distribution of the real-time database should belong to the basic technology provided by the photovoltaic storage and charging integrated charging station. The focus of network technology is on the part other than the real-time library, mainly message transmission and operating environment monitoring and management. Like the network technology of the real-time library, the network subsystem fully supports various latest popular network technologies, such as: virtual subnets, complex network architectures with mixed single and dual networks, local and wide area routing, three-layer switching, bundling aggregation (Trunk), etc. As an important part of the supporting platform, the network subsystem is divided into the following parts according to the service:

[0101] 1) It should support the collection of real-time data acquisition sources to the SCADA server, including RTU acquisition and computer network communication data sources and the configuration of the acquisition of each data source, and support the processing of multi-source data;

[0102] 2) Provide distributed access services based on client / server mode for memory library (real-time library): soft bus service;

[0103] 3) Event-triggered messaging services should be provided for distributed tasks;

[0104] 4) Distributed diagnostic tools should be provided for online processing tasks.

[0105] The energy dispatching system acquisition system, i.e., the data monitoring center within the station, should collect various telemetry, telesignaling, cumulative quantities and other automation information related to the energy storage system battery, photovoltaic, mains, charging piles, etc. in real time, and send various data information and remote control and remote adjustment commands to each device. For important data, such as photovoltaic power generation power, load power, energy storage capacity, charging and discharging time, number of faulty batteries, etc., multiple display methods such as lists, curves, bar graphs, etc. are provided, and multiple analysis functions should also be provided. Economic performance and reliability analysis of energy dispatching system: You can view the statistical analysis results of the specified data of all energy subsystems in the energy storage station, and you can select a specific battery group to view its statistical analysis data. Statistics of maintenance time and maintenance time of maintenance personnel. Statistics of measured values ​​include maximum, minimum, average and corresponding time statistics.

[0106] The present invention analyzes the energy flow strategy from two aspects of electric energy complementarity and peak-valley electricity prices of the integrated photovoltaic storage and charging station, and then establishes an active scheduling optimization scheme from three aspects of control variables, objective functions and constraints to further optimize energy distribution and reduce the impact on the public power grid.

[0107] The basic operation goal of optimizing the energy dispatching system of the photovoltaic storage and charging integrated power station based on the robust control method is to give priority to the use of photovoltaic power and battery power to meet the charging needs of electric vehicles, and to purchase electricity from the public power grid when the above power is insufficient, so as to maximize the utilization of the photovoltaic power generation system and the energy storage system, reduce operating costs, and reduce dependence on the public power grid. The energy flow strategy to achieve the above goals can be called "electricity complementarity". According to the quantitative relationship between the supplied electricity and the charging demand, the energy flow strategy based on electric energy complementarity can be divided into the following different modes for description: The following 18 modes The control strategy of the power grid in the station adopts robust control, that is, the control system can still maintain the characteristics of stable and normal operation of the power grid in the station when facing fluctuations in photovoltaic power generation power, changes in the number of charging piles used, and fluctuations in the public power grid.

[0108] Mode 1: When the photovoltaic power generation can meet the current charging demand and has a surplus, and the battery of the energy storage system has reached the maximum allowable charging value, the charging station will then integrate the surplus photovoltaic power into the public grid. The energy flow of the photovoltaic storage and charging integrated power station in this mode is as follows: Figure 5 As shown. PV , P c , P E , P Gout They are photovoltaic power generation power, charging pile power, charging and discharging power, and public grid access or purchased power.

[0109] Mode 2: The photovoltaic power generation can meet the current charging demand and has a surplus. The energy storage system battery has not reached the maximum value allowed and can continue to charge. At this time, the charging station will charge the surplus photovoltaic power into the battery of the energy storage system. By adjusting the charging power of the energy storage system, the power load of the charging pile is guaranteed to be stable. The direction of energy flow in this mode Figure 6 shown.

[0110] Mode 3: The photovoltaic power generation can meet the current charging demand and has a surplus. The energy storage system battery has not reached the maximum allowable value and can be charged. At this time, the charging station will inject the surplus photovoltaic power into the energy storage system. If the energy storage system has reached the maximum charging power and there is still surplus power in the station grid, it will be sold to the public grid. The direction of energy flow in this mode Figure 7 shown.

[0111] Mode 4: The photovoltaic power generation power just meets the current charging demand. After the photovoltaic power generation system supplies all the power to the charging pile system, there is no surplus, and there is no interaction between the in-station power grid and the public power grid. The energy flow in this scenario is as follows: Figure 8 shown.

[0112] Mode 5: The photovoltaic power generation cannot meet the current charging demand. If the energy storage system has not reached the minimum allowable value and the missing charging power does not exceed the maximum discharge power of the energy storage system, the energy storage system only needs to discharge.

[0113] The energy flow direction in this mode is as follows: Fig. 9 As shown:

[0114] Mode 6: The photovoltaic power generation cannot meet the current charging demand. If the energy storage system does not reach the minimum allowable value, but the missing charging power exceeds the maximum discharge power of the energy storage system, then while the energy storage system is running at the maximum discharge power, it is also necessary to purchase electricity from the public grid. The energy flow direction in this mode is as follows: Fig.10 shown.

[0115] Mode 7: The photovoltaic power generation cannot meet the current charging demand. If the energy storage system has reached the minimum allowable value and cannot continue to discharge, the missing charging power can only be supplemented by purchasing electricity from the public grid. The energy flow in this mode is as follows: Fig.11 .

[0116] Mode 8: When the photovoltaic power generation is large enough, the energy storage system battery reaches the maximum value allowed and cannot continue to charge, and there are no electric vehicles charging, the charging station will sell the surplus photovoltaic power to the public grid. At this time, the photovoltaic storage and charging integrated power station is similar to a photovoltaic power station. The direction of energy flow in this mode Fig.12 shown.

[0117] Mode 9: The photovoltaic power generation is large enough, the energy storage system battery has not reached the maximum value allowed, and can continue to charge. In the absence of electric vehicles charging, the charging station will sell the surplus photovoltaic power to the public grid. The direction of energy flow in this mode Fig.13 shown.

[0118] Mode 10: The photovoltaic power generation power is not large enough and can only meet the power of charging the energy storage system. The energy storage system battery has not reached the maximum allowable value and can continue to charge. In the absence of electric vehicles charging, the photovoltaic power generation system is only used to charge the energy storage system. The direction of energy flow in this mode Fig.14 shown.

[0119] Mode 11: When the photovoltaic power generation system cannot generate electricity at night, the energy storage system battery has not reached the maximum value allowed and can be charged. At this time, the power of the public grid is injected into the energy storage system and the charging pile to ensure that the charging pile can be used at night. The energy flow in this mode is as follows: Fig.15 .

[0120] Mode 12: When the photovoltaic power generation system cannot generate electricity at night, the energy storage system battery reaches the maximum value allowed and cannot be charged. At this time, the public power grid only supplies the charging pile to ensure that the charging pile can be used at night. The energy flow in this mode is as follows: Fig.16 .

[0121] Mode 13: When the photovoltaic power generation system cannot generate electricity at night, the energy storage system battery has not reached the maximum value allowed and can be charged, but the charging pile has no load to charge at this time. The energy flow in this mode is as follows: Fig.17 .

[0122] Mode 14: When the photovoltaic power generation system cannot generate electricity at night, the energy storage system can discharge. However, the charging load of the charging pile is relatively small at this time, and the energy storage system can meet the load of the electric vehicle. The energy flow in this mode is as follows: Fig.18 .

[0123] Mode 15: When the photovoltaic power generation system cannot generate electricity at night, the energy storage system can discharge. At this time, the charging load of the charging pile is relatively large, and the energy storage system cannot meet the charging load of the electric vehicle. The energy flow in this mode is as follows: Fig.19 .

[0124] Mode 16: When the photovoltaic power generation system cannot generate electricity at night, the energy storage system can discharge, and the charging pile has no charging load at this time. When the load of the public power grid suddenly decreases, the energy storage system will supply power to the public power grid alone to smooth the power grid as much as possible. This mode is an emergency mode. The energy flow in this mode is as follows: Fig. 20 .

[0125] Mode 17: When the photovoltaic power generation system cannot generate electricity at night, the energy storage system can discharge. At this time, the charging pile has less charging load, and the load of the public power grid suddenly decreases. The energy storage system not only supplies power to the charging pile, but also to the public power grid, trying to smooth the power grid while charging electric vehicles. This mode is an emergency mode. The energy flow in this mode is as follows: Fig.21 .

[0126] Mode 18: When the photovoltaic power generation system cannot generate electricity at night, the energy storage system battery reaches the maximum value allowed and cannot be charged. At this time, there is no electric vehicle load charging at the charging pile. The energy in this mode is static, and its energy flow is as follows: Fig. 22 .

[0127] The photovoltaic storage and charging integrated power station is a charging station connected to the national grid. From the above analysis, it can be seen that the photovoltaic storage and charging integrated power station can absorb electricity from the grid and provide electricity to the national grid using photovoltaic power generation. In addition, the photovoltaic storage and charging integrated power station mainly serves electric vehicles. Charging electric vehicles is the main purpose of the integrated power station. The load of electric vehicles can be met by photovoltaic power generation, energy storage and the grid. The above analysis is about the various modes of the photovoltaic storage and charging integrated system without considering the grid electricity price. However, the actual application mode must consider economic benefits. Therefore, the priority is to consume photovoltaic power generation locally, reduce transmission losses, and also consider economic benefits. The goal is to try not to purchase electricity from the national grid during the peak power period of the grid. Based on this principle, the energy exchange scheduling strategy method of the photovoltaic storage and charging integrated power station is designed as shown in Table 1.

[0128] Table 1 Energy exchange strategy of integrated photovoltaic storage and charging power station

[0129]

[0130] In order to meet the coordinated dispatch of photovoltaic energy storage and charging piles and maximize economic benefits, the present invention designs an energy dispatch method for photovoltaic storage and charging integrated power station based on the robust method. This method improves the consumption of photovoltaic power generation, increases the flexibility of energy storage dispatch, and increases the comprehensive benefits of the system. The conventional energy flow relationship of the photovoltaic storage and charging integrated power station based on the robust method is as follows: Fig.23 shown.

[0131] It is well known that the deterministic optimization principle is simple and easy to implement, but it is difficult to deal with changes in uncertainty. Due to many uncertainties such as photovoltaic capacity and the number of charging vehicles, the present invention adopts robust optimization to adjust the relationship between photovoltaic, energy storage, and charging. The uncertainty problem of photovoltaic power generation and the number of charging vehicles is mostly handled by random optimization and robust optimization methods. The robust optimization method takes the worst scenario into account, resulting in relatively stable scheduling of photovoltaic power generation, energy storage, and charging. In recent years, the robust optimization method can not only retain the advantages of the model structure of the robust method itself, but also has the accuracy of the probability feature description of opportunity constraint programming. The probability distribution of some uncertain variables is introduced, and the probability distribution that satisfies these probability information can be constructed into a set, and the uncertain set in the robust optimization model is replaced by a set of probability distributions, and the constraints are replaced by the expectation or random constraints of the original constraints. The objective function is replaced by the optimal expected value obtained in the worst case. Based on this, the feasible solution obtained can meet the requirements of any parameter distribution, and a random optimization model of the distribution uncertainty set is established in the worst case. This model is called a robust optimization model. In order to determine the utilization of photovoltaic applications, energy storage capacity and charging efficiency, a deterministic scheduling model of photovoltaic storage and charging integrated power station is established. Considering the interests of charging stations, a scheduling model of photovoltaic storage and charging integrated power station is established on the basis of energy management.

[0132] Due to the randomness and volatility of photovoltaic output and load demand of integrated photovoltaic storage and charging power stations, the deterministic model cannot accurately describe the model. In order to cope with the uncertainty of photovoltaic output and load demand in the planning of integrated photovoltaic storage and charging power stations, a model of robust control method based on energy change is established.

[0133] Combination Fig.23 It can be seen that the charging demand power P D (t) can be supplied by photovoltaic power P1(t), energy storage power P2(t) and national grid power P3(t). To meet the charging demand, it is only necessary to ensure that the sum of the charging power of the three at any time is greater than the charging power P D(t) demand; and the photovoltaic power consumed in a certain period of time P PV2 (t) should not be greater than the photovoltaic power generation P during this period PV1 (t), power constraints are established according to the robust control principle:

[0134] P D (t)≤P1(t)+ P2(t)+ P3(t) Formula 1

[0135] P PV1 (t)≥P1(t)+ P4(t)+ P6(t) Formula 2

[0136] Where P D (t) is the charging power requirement of electric vehicles,

[0137] P PV1 (t) is the actual power generated by the photovoltaic power generation system,

[0138] P1(t) is the power supplied by the photovoltaic power generation system to the charging pile.

[0139] P2(t) is the power supplied by the energy storage battery to the charging pile.

[0140] P3(t) is the power provided by the national power grid to the charging pile.

[0141] P4(t) is the power used by the photovoltaic power generation system to charge the battery energy storage system.

[0142] P5(t) is the power of the national grid charging the battery energy storage system,

[0143] P6(t) is the power transmitted by the national grid to the photovoltaic power generation system,

[0144] P PV1 (t) is an uncertain quantity, and the power generation capacity varies with the weather.

[0145] The maximum access load and maximum on-grid power allowed by the power grid must be met; the amount of charging power in the integrated power station must be within the specified range, and the power constraints for on-grid access and power consumption must be established based on the robust control principle:

[0146] M1≥P3(t)+ P5(t) Formula 3

[0147] P6(t) ≤ M2 Formula 4

[0148] M1 is the maximum access load allowed by the national grid; M2 is the maximum grid-connected power;

[0149] The output of the energy storage system must meet the maximum output and minimum output limits. The constraints of the energy storage system are established according to the robust control principle:

[0150] Formula 5

[0151] E b.min ≤E b (t) ≤E b.max Formula 6

[0152] Among them, E b (t) is the real-time capacity of energy storage, ax b is the initial charge of the energy storage, η1 and η2 are the efficiency of charging and discharging of the energy storage, E b.min 、E b.max are the upper and lower limits of the energy storage capacity respectively.

[0153] In order to make better use of the photovoltaic power generation system, assuming that R is the minimum proportion of new energy power supply, the photovoltaic power generation should be consumed by electric vehicles as much as possible, that is, the maximum self-production and self-consumption. According to the robust control principle, the proportion of photovoltaic power supply to electric vehicles should meet the minimum requirements:

[0154] Formula 7

[0155] Where R is the minimum ratio of photovoltaic power generation system to grid power supply;

[0156] Too many charging piles in a photovoltaic power station may cause the charging facilities to be idle and not fully utilized. Too few charging piles may cause congestion. Therefore, it is necessary to set the equipment utilization rate of the photovoltaic power station charging piles, which are:

[0157] Formula 8

[0158] ρ j min is the minimum utilization rate of the charging pile, ρ j is the utilization rate of charging piles;

[0159] Based on the deterministic model, photovoltaic output and load demand are determined quantities after prediction. However, there are many factors that affect photovoltaic power generation and the charging and discharging power of electric vehicles, and it is difficult to obtain a very accurate probability distribution. The photovoltaic storage and charging integrated power station dispatching system method established based on the robust method can establish a more accurate model using only a small amount of information, which can ensure that the photovoltaic storage and charging integrated power station maintains normal operation under the worst circumstances. Based on the above robustness analysis, the present invention optimizes the energy dispatching strategy of the photovoltaic storage and charging station from two aspects: economic operation and reducing the load fluctuations brought to the power grid. From the economic level, a model with the minimum operating cost throughout the day is established, and from the power grid stability level, an energy optimization dispatching model with the minimum fluctuation as the goal is established. The expression is as follows.

[0160] Minimum model for all-day operation cost in a photovoltaic charging station:

[0161] Formula 9

[0162] Formula 9 is the full-day operating cost of the integrated photovoltaic storage and charging power station Minimum, where i is the control sampling point and T is the number of sampling points. With 1 hour as the sampling period, 24 points are sampled in one day; is the electricity price that the smart charging station purchases from the power grid during the i-th period, is the average power purchased from the grid in period i; is the sampling time period.

[0163] Minimum mean square deviation model of load fluctuation of integrated photovoltaic storage and charging station to the power grid:

[0164] Formula 10

[0165] Formula 10 is the minimum mean square error F2 of the load fluctuation caused by the photovoltaic charging station to the power grid. is the average load power of the integrated photovoltaic storage and charging station throughout the day, for:

[0166] Formula 11

[0167] in, is the total charging power of electric vehicles in the photovoltaic storage and charging integrated power station in time period i; is the average charging and discharging power of the energy storage unit in the i-th period, where positive values ​​represent charging and negative values ​​represent discharging; is the average power of photovoltaic power generation of the photovoltaic storage charging station in period i.

[0168] The energy system dispatch of the photovoltaic storage and charging integrated power station based on the robust method ensures the stability and economy of the system, monitors and analyzes the photovoltaic power, battery power, and electric vehicle charging load in the station in real time, formulates corresponding energy dispatch strategies and hands them over to the corresponding action mechanism for execution, and accepts the dispatch of the superior monitoring center and the power grid side. The collaborative dispatch platform is based on the robust method. The stable and rapid transmission of data transmission and control instructions of photovoltaic energy storage charging piles is the basis for achieving the above goals. The energy dispatch platform of the photovoltaic storage and charging integrated power station is an important part of the entire charging station to realize the management of photovoltaic power generation functions, energy storage charging and discharging functions, and electric vehicle charging functions; at the same time, it is responsible for the data signal transmission between the station-level monitoring center of multiple charging stations and the charging station cluster monitoring center and the public power grid dispatch center, so as to realize the working status monitoring and operation dispatch of the charging station by the charging station management department and the public power grid management department. Fig.24 This is a schematic diagram of the energy dispatching system platform of the integrated photovoltaic storage and charging power station.

[0169] It will be appreciated by those skilled in the art 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. Furthermore, 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.

[0170] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the inventive concept. For example, the above features are replaced with (but not limited to) technical features with similar functions disclosed in the present application.

Claims

1. An energy dispatching system for a photovoltaic storage and charging integrated power station based on robust control, wherein the photovoltaic storage and charging integrated power station comprises an in-station power grid, a photovoltaic power generation system, a battery system and a charging pile system, characterized in that: The power grid in the charging station uses an AC bus. When the power grid in the station interacts with the public power grid, it needs to pass through an energy storage inverter. The battery system is connected to the energy storage inverter. The photovoltaic power generation system converges the photovoltaic power to the AC bus through an inverter and an AC junction box. The power of the public power grid is transmitted to the AC bus through a transformer. The charging pile system is directly connected to the AC bus to charge the car. The integrated photovoltaic storage and charging power station also includes an in-station data monitoring center and an energy scheduling system. The in-station data monitoring center is used to obtain the data of the operation of various parts in the station and the peak and valley time of the public power grid. The energy scheduling system obtains an energy scheduling strategy based on robust control according to the data of the in-station data monitoring center, and coordinates and controls the photovoltaic power generation system, the battery system and the public power grid in the station to jointly supply power to the charging pile system to meet the charging needs of electric vehicles. The control principle of the energy scheduling system is: give priority to using the power of the photovoltaic power generation system and the battery system to meet the charging needs of electric vehicles. When the above power is insufficient, purchase electricity from the public power grid to supplement it, so as to maximize the utilization of the photovoltaic power generation system and the battery system. And give priority to consuming photovoltaic power generation locally, reduce transmission losses, and try not to purchase electricity from the public power grid during peak power hours; the energy flow achieved by the energy dispatching system includes: During off-peak hours, when the power generated by the photovoltaic power generation system is greater than the charging load of the charging pile system, the excess photovoltaic power will be used to charge the battery system; when the power generated by the photovoltaic power generation system is less than the charging load of the charging pile system, it will be supplemented by the public power grid; During the off-peak hours, when the power generated by the photovoltaic power generation system is greater than the charging load of the charging pile system, the excess photovoltaic power will be used to charge the battery system; when the power generated by the photovoltaic power generation system is less than the charging load of the charging pile system, it will be supplied by the battery system first and then supplemented by the public power grid; During peak hours, when the power generated by the photovoltaic power generation system is greater than the charging load of the charging pile system, the excess power of the photovoltaic power generation system will be supplied to the public grid first; when the power generated by the photovoltaic power generation system is less than the charging load of the charging pile system, it will be supplied by the battery system first and then supplemented by the public grid; To cope with the uncertainty of photovoltaic output and load demand in the planning of photovoltaic storage and charging integrated power stations, a model of robust control method based on energy change is established and constraints are established according to the robust control principle; The constraints include the following: Charging power requirement P D (t) is composed of photovoltaic power generation power P1(t), battery energy storage power P2(t) and public grid supply power P3(t). To meet the charging demand, it is only necessary to ensure that the sum of the charging power of the three at any time is greater than the charging power P D (t) demand; and the photovoltaic power consumed in a certain period of time P PV2 (t) should not be greater than the photovoltaic power generation power P during this period PV1 (t), power constraints are established according to the robust control principle: P D (t)≤P1(t)+ P2(t)+ P3(t) Formula 1; P PV1 (t)≥P1(t)+ P4(t)+ P6(t) Formula 2; Where P D (t) is the charging power requirement of the electric vehicle, P PV1 (t) is the actual power generated by the photovoltaic power generation system, P1(t) is the power provided by the photovoltaic power generation system to the charging pile, P2(t) is the power provided by the energy storage battery to the charging pile, P3(t) is the power provided by the public power grid to the charging pile, P4(t) is the power provided by the photovoltaic power generation system to charge the battery system, P5(t) is the power provided by the public power grid to charge the battery energy storage system, P6(t) is the power provided by the photovoltaic power generation system to the public power grid, and P PV1 (t) is an uncertain quantity, that is, the power generation can vary with the weather within the range of 0% to 100% of the installed capacity; The maximum access load and maximum on-grid power allowed by the power grid must be met; the amount of charging power in the integrated power station must be within the specified range, and the power constraints for on-grid access and power consumption must be established based on the robust control principle: M1≥P3(t)+ P5(t) Formula 3; P6(t) ≤ M2 Formula 4; M1 is the maximum access load allowed by the public power grid for this charging station; M2 is the maximum power carried by the access line; The output of the battery system must meet the maximum output and minimum output limits. The constraints of the energy storage system are established according to the robust control principle: Formula 5: E b.min ≤E b (t) ≤E b.max Formula 6; Among them, E b (t) is the real-time capacity of energy storage, ax b is the initial charge of the energy storage, η1 and η2 are the efficiency of charging and discharging of the energy storage, E b.min 、E b.max are the upper and lower limits of the energy storage capacity, respectively; P2(i) is the real-time power of the energy storage battery charging the charging pile at time i; P4(i) is the real-time power of the photovoltaic power generation system charging the battery system at time i; and P5(i) is the real-time power of the photovoltaic public grid charging the battery energy storage system at time i; In order to make better use of the photovoltaic power generation system, photovoltaic power generation should be consumed by electric vehicles as much as possible, that is, self-production and self-consumption to the maximum extent. According to the robust control principle, the proportion of photovoltaic power supply to electric vehicles should meet the minimum requirements: Formula 7: Where R is the minimum ratio of photovoltaic power generation system to grid power supply; Too many charging piles in a photovoltaic power station will cause the charging facilities to be idle and not fully utilized. Too few will cause congestion. Therefore, it is necessary to set the equipment utilization rate of the photovoltaic power station charging piles, which are: Formula 8: ρ j min is the minimum utilization rate of the charging pile, ρ j is the utilization rate of charging piles; The models include the following: Based on robustness analysis, the models for optimizing the energy dispatch strategy of the photovoltaic storage charging station include the minimum all-day operation cost model F1 and the minimum mean square deviation model F2 of the load fluctuation of the photovoltaic storage charging integrated charging station to the power grid, as follows: Formula 9: Where i is the control sampling point, T is the number of sampling points; is the electricity price that the smart charging station purchases from the power grid during the i-th period, is the average power purchased from the grid in period i; is the sampling time period; Formula 10: is the average load power of the integrated photovoltaic storage and charging station throughout the day, for: Formula 11: in, is the total charging power of electric vehicles in the photovoltaic storage and charging integrated power station in time period i; is the average charging and discharging power of the energy storage unit in the i-th period, where positive values ​​represent charging and negative values ​​represent discharging; is the average power of photovoltaic power generation of the photovoltaic storage charging station in period i.

2. The energy dispatching system of the photovoltaic storage and charging integrated power station based on robust control according to claim 1 is characterized in that: The communication system of the integrated photovoltaic storage and charging station includes an in-station communication system and an out-station communication system. The in-station communication system is used to realize data signal transmission between the in-station data monitoring center and the subsystem controllers, and between the subsystem controllers and the equipment in the subsystems, so as to realize the management of photovoltaic power generation functions, energy storage charging and discharging functions and electric vehicle charging functions. The subsystems are photovoltaic power generation systems, battery systems and charging pile systems; the out-station communication system is used to realize data signal transmission between the in-station data monitoring center of multiple charging stations and the charging station cluster monitoring center and the public power grid dispatching center, so as to realize the charging station management department and the public power grid management department to monitor the working status and dispatch the operation of the charging stations.

3. The energy dispatching system of the photovoltaic storage and charging integrated power station based on robust control according to claim 1 is characterized in that: The in-station data monitoring center collects various dispatching information of the battery system, photovoltaic power generation system, charging pile system and public power grid in real time, and can display and analyze important data in real time so that users can view the statistical analysis results of the system's specified data in real time or select a specific battery group to view its statistical analysis data. The important data include photovoltaic power generation power, load power, battery capacity of each battery, charging and discharging time, and number of faulty batteries.

4. A method for energy dispatching of a photovoltaic storage and charging integrated power station based on robust control, characterized in that: The photovoltaic storage and charging integrated power station includes an in-station power grid, a photovoltaic power generation system, a battery system and a charging pile system. The in-station power grid of the charging station uses an AC bus. When the in-station power grid interacts with the public power grid, an energy storage converter is required. The battery system is connected to the energy storage converter. The photovoltaic power generation system converges the photovoltaic power to the AC bus through an inverter and an AC junction box. The power of the public power grid is transmitted to the AC bus through a transformer. The charging pile system is directly connected to the AC bus to charge the car; the photovoltaic storage and charging integrated power station also includes an in-station data monitoring center and an energy scheduling system. The in-station data monitoring center is used to obtain the data of the operation of various parts in the station and the peak and valley time of the public power grid. The energy scheduling system obtains an energy scheduling strategy based on robust control according to the data of the in-station data monitoring center, and coordinates and controls the photovoltaic power generation system, the battery system and the public power grid in the station to jointly supply power to the charging pile system to meet the charging needs of electric vehicles; the control principle of the energy scheduling system is: give priority to using the power of the photovoltaic power generation system and the power of the battery system to meet the charging needs of electric vehicles, and when the above power is insufficient, purchase electricity from the public power grid to supplement, so as to maximize the utilization of the photovoltaic power generation system and the battery system; And give priority to consuming photovoltaic power generation locally, reduce transmission losses, and try not to purchase electricity from the public power grid during peak power hours; the energy flow achieved by the energy dispatching system includes: During off-peak hours, when the power generated by the photovoltaic power generation system is greater than the charging load of the charging pile system, the excess photovoltaic power will be used to charge the battery system; when the power generated by the photovoltaic power generation system is less than the charging load of the charging pile system, it will be supplemented by the public power grid; During the off-peak hours, when the power generated by the photovoltaic power generation system is greater than the charging load of the charging pile system, the excess photovoltaic power will be used to charge the battery system; when the power generated by the photovoltaic power generation system is less than the charging load of the charging pile system, it will be supplied by the battery system first and then supplemented by the public power grid; During peak hours, when the power generated by the photovoltaic power generation system is greater than the charging load of the charging pile system, the excess power of the photovoltaic power generation system will be supplied to the public grid first; when the power generated by the photovoltaic power generation system is less than the charging load of the charging pile system, it will be supplied by the battery system first and then supplemented by the public grid; To cope with the uncertainty of photovoltaic output and load demand in the planning of photovoltaic storage and charging integrated power stations, a model of robust control method based on energy change is established and constraints are established according to the robust control principle; The constraints include the following: Charging power requirement P D (t) is composed of photovoltaic power generation power P1(t), battery energy storage power P2(t) and public grid supply power P3(t). To meet the charging demand, it is only necessary to ensure that the sum of the charging power of the three at any time is greater than the charging power P D (t) demand; and the photovoltaic power consumed in a certain period of time P PV2 (t) should not be greater than the photovoltaic power generation power P during this period PV1 (t), power constraints are established according to the robust control principle: P D (t)≤P1(t)+ P2(t)+ P3(t) Formula 1; P PV1 (t)≥P1(t)+ P4(t)+ P6(t) Formula 2; Where P D (t) is the charging power requirement of the electric vehicle, P PV1 (t) is the actual power generated by the photovoltaic power generation system, P1(t) is the power provided by the photovoltaic power generation system to the charging pile, P2(t) is the power provided by the energy storage battery to the charging pile, P3(t) is the power provided by the public power grid to the charging pile, P4(t) is the power provided by the photovoltaic power generation system to charge the battery system, P5(t) is the power provided by the public power grid to charge the battery energy storage system, P6(t) is the power provided by the photovoltaic power generation system to the public power grid, and P PV1 (t) is an uncertain quantity, that is, the power generation can vary with the weather within the range of 0% to 100% of the installed capacity; The maximum access load and maximum on-grid power allowed by the power grid must be met; the amount of charging power in the integrated power station must be within the specified range, and the power constraints for on-grid access and power consumption must be established based on the robust control principle: M1≥P3(t)+ P5(t) Formula 3; P6(t) ≤ M2 Formula 4; M1 is the maximum access load allowed by the public power grid for this charging station; M2 is the maximum power carried by the access line; The output of the battery system must meet the maximum output and minimum output limits. The constraints of the energy storage system are established according to the robust control principle: Formula 5: E b.min ≤E b (t) ≤E b.max Formula 6; Among them, E b (t) is the real-time capacity of energy storage, ax b is the initial charge of the energy storage, η1 and η2 are the efficiency of charging and discharging of the energy storage, E b.min 、E b.max are the upper and lower limits of the energy storage capacity, respectively; P2(i) is the real-time power of the energy storage battery charging the charging pile at time i; P4(i) is the real-time power of the photovoltaic power generation system charging the battery system at time i; and P5(i) is the real-time power of the photovoltaic public grid charging the battery energy storage system at time i; In order to make better use of the photovoltaic power generation system, photovoltaic power generation should be consumed by electric vehicles as much as possible, that is, self-production and self-consumption to the maximum extent. According to the robust control principle, the proportion of photovoltaic power supply to electric vehicles should meet the minimum requirements: Formula 7: Where R is the minimum ratio of photovoltaic power generation system to grid power supply; Too many charging piles in a photovoltaic power station will cause the charging facilities to be idle and not fully utilized. Too few will cause congestion. Therefore, it is necessary to set the equipment utilization rate of the photovoltaic power station charging piles, which are: Formula 8: ρ j min is the minimum utilization rate of the charging pile, ρ j is the utilization rate of charging piles; The models include the following: Based on robustness analysis, the models for optimizing the energy dispatch strategy of the photovoltaic storage charging station include the minimum all-day operation cost model F1 and the minimum mean square deviation model F2 of the load fluctuation of the photovoltaic storage charging integrated charging station to the power grid, as follows: Formula 9: Where i is the control sampling point, T is the number of sampling points; is the electricity price that the smart charging station purchases from the power grid during the i-th period, is the average power purchased from the grid in period i; is the sampling time period; Formula 10: is the average load power of the integrated photovoltaic storage and charging station throughout the day, for: Formula 11: in, is the total charging power of electric vehicles in the photovoltaic storage and charging integrated power station in time period i; is the average charging and discharging power of the energy storage unit in the i-th period, where positive values ​​represent charging and negative values ​​represent discharging; is the average power of photovoltaic power generation of the photovoltaic storage charging station in period i.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to claim 4 is implemented.

6. An electronic device, characterized in that: The device comprises: one or more processors; A memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method as claimed in claim 4.

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