New energy scene collaborative energy complementation system based on multi-energy complementation and control method

Abstract

The invention relates to a new energy scene collaborative energy compensation system based on multi-energy complementation and a control method. The system comprises a power supply input and conversion module, an energy storage system, a power distribution and energy distribution module, a charging and battery replacement facility and a control system. The power input and conversion module is connected to an alternating current bus through a box-type substation, a photovoltaic panel and a photovoltaic inverter; the energy storage system is connected with an AC-DC bus through a power conversion system and a DC conversion module by utilizing an energy storage battery pack and a mobile power transmission vehicle; the power distribution and energy distribution module transmits electric energy through an AC-DC bus. The charging and battery replacing facility takes power from the AC / DC bus; the control system collects data and dispatches energy through a communication protocol, and cooperates with the power electronic transformer and the virtual synchronous machine control module to realize power grid frequency compensation and voltage stability control. According to the invention, by integrating photovoltaic, energy storage and charging facilities and power grid interaction capability, an intelligent scheduling mechanism is constructed, and multi-energy cooperative control and intelligent scheduling are realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of new energy power systems, and in particular to a new energy scene collaborative energy supplementing system based on multi-energy complementarity and a control method. BACKGROUND

[0002] Under the background of rapid development of new energy and increasing energy demand, the traditional single energy supplementing system has been difficult to meet the electricity demand in complex scenarios, and an efficient, intelligent, and multi-energy collaborative energy supplementing system is urgently needed to realize the optimal allocation of energy and stable operation of the power grid.

[0003] In the existing technology, independent energy units (such as photovoltaic power generation systems, energy storage systems, and battery swap stations) are usually used for their own management and operation in the new energy supplementing scene. The photovoltaic power generation system is responsible for converting solar energy into electrical energy, the energy storage system is used for storing and releasing electrical energy, and the battery swap station provides battery replacement services for new energy vehicles. However, these systems lack effective coordination mechanisms, resulting in low energy utilization efficiency and difficulty in responding to complex electricity demand and power grid load changes.

[0004] The traditional new energy supplementing scheme has the following problems: 1. Single energy dependency problem: excessive dependence on external power grid power supply, in the centralized charging and discharging scene of battery swap stations (such as transportation hubs, logistics parks, etc.), synchronous charging of multiple battery swap stations will cause electricity peak and valley superposition, causing power grid voltage fluctuation, forcing the power grid company to configure excess capacity of transformer equipment.

[0005] 2. New energy consumption capacity defect: photovoltaic power generation systems and battery swap stations lack intelligent coordination mechanisms, and about 30-40% of clean energy is wasted. For example, when the electricity demand of the battery swap station is low, the excess photovoltaic power is sent back to the power grid at a low price, and at peak times, it needs to be purchased back at a high price, forming a "scissors difference" loss.

[0006] 3. Dynamic load regulation hysteresis: the traditional energy storage system uses a fixed threshold charging and discharging strategy and cannot respond in real time to power grid load fluctuations. Measurements show that the response delay is up to 3-5 minutes when the power grid load suddenly changes, during which a maximum of 15% instantaneous power deviation may occur, and even trigger the action of the relay protection device.

[0007] 4. Lack of energy efficiency coordination management: each energy unit (photovoltaic, energy storage, and battery swap) is independently controlled, and there is a lack of unified energy management platform. Measurement data shows that uncoordinated scheduling results in a daily energy loss of up to 1200kWh, and annual CO2 emissions of up to 87 tons; under cloudy weather, the photovoltaic output and battery swap demand curves are misaligned, and the system's overall energy efficiency decreases from 85% to less than 65%. SUMMARY

[0008] Therefore, it is necessary to provide a new energy scene collaborative energy supplement system based on multi-energy complementation and a control method to solve the above problems in the prior art.

[0009] To solve the above problems, in a first aspect, embodiments of the present application provide a new energy scene collaborative energy supplement system based on multi-energy complementation, comprising: The power input and conversion module comprises a box-type substation and a photovoltaic panel and a photovoltaic inverter; the box-type substation and the photovoltaic inverter are both connected with an alternating current bus; the box-type substation is used to convert high-voltage electricity into low-voltage alternating current to provide main power input for the system; the photovoltaic panel and the photovoltaic inverter are used to convert solar energy into alternating current and connect with the alternating current bus for use by the system or storage; The energy storage system comprises an energy storage battery pack and a mobile power supply vehicle; the energy storage battery pack is connected with the AC / DC bus through a power conversion system; the mobile power supply vehicle is used as a mobile energy storage unit and is connected with the DC bus through a DC power conversion module; The power distribution and energy distribution module comprises a DC bus and an AC bus; the DC bus is used to transmit DC power and is connected with a DC super charging pile, an electric vehicle battery swap station, an energy storage battery pack and a DC power conversion module; the AC bus is used to transmit AC power and is connected with a photovoltaic inverter, a box-type substation and an AC charging pile; The charging and battery swap facility comprises an AC charging pile connected with the AC bus, a DC super charging pile connected with the DC bus, and an electric vehicle battery swap station connected with the DC bus; The control system comprises an energy scheduling system, a station control system and a device control layer; the energy scheduling system communicates with the lower layer devices through a communication protocol, is used to collect energy operation state data and power grid information, and performs energy distribution scheduling according to an energy priority strategy; the station control system is used to manage the charging pile, the energy storage system and the mobile power supply vehicle; the device control layer is used to perform charging control, temperature management and battery replacement operation; The system is configured with a power electronic transformer and a virtual synchronous machine control module to realize power grid frequency compensation and voltage stability control, so as to complete multi-energy collaborative control and intelligent scheduling.

[0010] Preferably, in the power input and conversion module, the photovoltaic panel and the photovoltaic inverter constitute a photovoltaic power generation unit, the output alternating current of which is preferentially connected with the AC bus for use by the charging and battery swap facility, and the excess power is stored by the energy storage system or returned to the power grid.

[0011] Preferably, in the energy storage system, the energy storage battery pack realizes bidirectional energy flow with the AC / DC bus through a power conversion system PCS, which is used for peak clipping, emergency power supply and power grid interaction; the mobile power supply vehicle is connected with the DC bus through a DC power conversion module to provide flexible power supplement or independent power supply in an off-grid scenario.

[0012] Preferably, in the power distribution and energy distribution module, the DC bus and the AC bus serve as the energy transmission hub, and the energy flow is dynamically adjusted by the energy scheduling system of the control system to realize the priority allocation of photovoltaic power generation, energy storage power supply, and grid power supply.

[0013] Preferably, in the charging and battery swapping facility, the DC super charging pile and the battery swapping station preferentially call photovoltaic power generation or energy storage power through the DC bus, and only when photovoltaic and energy storage are insufficient, grid power supply is enabled.

[0014] Preferably, the energy scheduling system adopts an energy priority strategy that takes photovoltaic power generation as the primary energy source, an energy storage system as a supplementary energy source, and a grid power supply as the final guarantee. Through real-time collection of energy operation state data and grid information, the energy distribution of each energy unit is dynamically adjusted, and through the power electronic transformer and virtual synchronous machine control module, grid frequency compensation and voltage stability control are realized to complete the intelligent scheduling of multi-energy collaboration.

[0015] In a second aspect, the embodiments of the present application provide a collaborative energy supplementing control method of a new energy scene collaborative supplementing system based on multi-energy complementation, comprising: Multi-source data acquisition: The energy scheduling system collects energy operation state data, grid information, and environmental data; the energy operation state data includes photovoltaic power generation power, energy storage remaining power, and charging facility operation data, the grid information includes time-of-use electricity price, grid load state, and emergency power limiting instruction; Energy priority scheduling: The energy scheduling system adopts an energy priority strategy that takes photovoltaic power generation as the primary energy source, an energy storage system as a supplementary energy source, and a grid power supply as the final guarantee. Combined with the collected data, the energy unit energy distribution is dynamically adjusted, photovoltaic power is preferentially dispatched to charging and battery swapping facilities, and the surplus power is stored or sent back to the grid; Scheduling execution and control: The energy scheduling system sends scheduling instructions to the station control system through TCP / IP, and the station control system parses the scheduling instructions into specific operations through the CAN bus. The device control layer uploads operation data every preset time, and the energy scheduling system dynamically adjusts the energy distribution strategy according to the feedback to realize closed-loop control of multi-energy collaborative energy supplementing.

[0016] Preferably, the multi-source data acquisition step specifically comprises: Collecting energy operation state data between the energy scheduling system and the device control layer through the TCP / IP protocol; Transmitting real-time operation instructions of the device control layer through the CAN bus protocol, including charging pile start-stop control and power adjustment instructions; Through the 4G / 5G protocol, the wireless interaction information of the mobile power supply vehicle and the remote monitoring terminal is collected, including the remaining power of the mobile power supply vehicle, the position state, and the monitoring instruction and parameter configuration of the remote terminal to the system.

[0017] Preferably, the energy priority scheduling step comprises a dynamic load distribution strategy, and the dynamic load distribution strategy comprises: Charging pile power adjustment: according to the priority of user demand, the power proportion of alternating current charging pile and direct current super charging pile is dynamically allocated. When the total demand of direct current super charging pile exceeds the system power supply capacity, the single pile power is automatically limited to balance the load; Battery scheduling of battery swap station: the battery compartment of the battery swap station is linked with the energy storage battery pack, the low-power battery is preferentially connected to the direct current bus for charging, and the full-power battery is preferentially allocated to the battery swap vehicle; at the same time, combined with the time-of-use electricity price, the battery swap station is preferentially supplied with power from the power grid or photovoltaic during the valley period, and the full-power battery of the battery swap station is preferentially called to supply power to the load during the peak period.

[0018] Preferably, the energy priority scheduling step further comprises: When the photovoltaic system fails, the energy scheduling system immediately switches to the full-power supply mode of the energy storage battery pack; if the energy storage capacity is insufficient, the mobile power supply vehicle is triggered to access the direct current bus through the direct current conversion module for temporary power supply, and the power grid power supply process is simultaneously triggered; When the power grid is powered off, the energy scheduling system is disconnected from the power grid, an independent microgrid composed of photovoltaic panels and energy storage battery packs is formed, key loads such as the battery swap station and emergency charging piles are preferentially ensured to operate, the microgrid frequency and voltage are maintained stable through the virtual synchronous machine control module, and continuous power supply in the off-grid scene is realized.

[0019] The new energy scene cooperative power supply system and control method based on multi-energy complementation provided by the application have the following beneficial effects compared with the prior art: 1) The energy priority strategy of photovoltaic priority, energy storage power supply and power grid backup realized by the application realizes efficient utilization of renewable energy, reduces the dependence on traditional power grids, and improves the overall energy utilization efficiency of the system.

[0020] 2) The power electronic transformer and virtual synchronous machine control module configured by the system can quickly respond to power grid frequency fluctuations, realize power grid frequency compensation and voltage stability control, and enhance the anti-interference ability and stability of the power grid.

[0021] 3) The application realizes on-demand adjustment of charging pile power and intelligent scheduling of battery swap station battery through a dynamic load distribution strategy, can respond to power grid load fluctuations in real time, effectively solves the problem of dynamic load regulation lag of traditional energy storage systems, avoids instantaneous power deviation when the power grid load suddenly changes, reduces the risk of triggering relay protection devices, and thus improves the stability and reliability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a system architecture diagram of the new energy scenario collaborative energy replenishment system based on multi-energy complementarity provided by the present invention; Figure 2 It is an architectural diagram of the control system provided by the present invention; Figure 3 Flowchart of the collaborative energy replenishment control method of the new energy scenario collaborative energy replenishment system based on multi-energy complementarity provided by the present invention.

[0023] Figure 1 The colors in the diagram are to distinguish technical features. DETAILED DESCRIPTION

[0024] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of this application and are used together with the embodiments of the present invention to illustrate the principles of the present invention, and are not used to limit the scope of the present invention.

[0025] Existing renewable energy replenishment technologies primarily consist of independent energy units, such as photovoltaic power generation systems, energy storage systems, and battery swap stations. These units are managed and operated independently, lacking effective coordination mechanisms. On the one hand, traditional replenishment solutions rely excessively on external grid power. Centralized charging and discharging at battery swap stations can easily cause grid voltage fluctuations, forcing grid companies to deploy excess capacity equipment and increasing grid operating costs. On the other hand, the lack of intelligent coordination between photovoltaic power generation systems and battery swap stations leads to insufficient clean energy absorption capacity. Excess photovoltaic power is fed back to the grid at a low price, and then repurchased at high prices during peak hours, resulting in energy waste and economic losses. Furthermore, traditional energy storage systems utilize fixed-threshold charging and discharging strategies, which are unable to respond to grid load fluctuations in real time. These systems exhibit long response delays and are prone to transient power deviations, which can even trigger relay protection devices. Furthermore, the independent control of each energy unit and the lack of a unified energy management platform result in significant energy losses and low overall system efficiency, making it difficult to meet power demand in complex scenarios.

[0026] In view of this, the present invention aims to provide a collaborative energy replenishment system and control method for new energy scenarios based on multi-energy complementarity. By integrating photovoltaic, energy storage, charging facilities, and grid interaction capabilities, an intelligent scheduling mechanism is established to achieve multi-energy collaborative control and intelligent scheduling. This improves energy utilization efficiency, enhances grid stability, optimizes dynamic load response, and addresses existing issues such as energy dependence, insufficient absorption, regulation lag, and lack of energy efficiency management, thus meeting the electricity demand of complex scenarios. The following will be explained and introduced through multiple embodiments.

[0027] Figure 1 The system architecture diagram of the new energy scenario collaborative energy replenishment system based on multi-energy complementarity provided by the present invention is shown in Figure 2. Figure 1The new energy scenario collaborative energy replenishment system based on multi-energy complementarity provided by the present invention includes: The power input and conversion module includes a box-type substation, photovoltaic panels, and a photovoltaic inverter. The box-type substation and photovoltaic inverter are both connected to the AC bus. The box-type substation is used to convert high-voltage electricity into low-voltage AC electricity, providing the main power input for the system. The photovoltaic panels and photovoltaic inverter are used to convert solar energy into AC electricity, which is connected to the AC bus for system use or storage. The energy storage system includes an energy storage battery pack and a mobile power transmission vehicle: the energy storage battery pack is connected to the AC / DC bus through a power conversion system; the mobile power transmission vehicle serves as a mobile energy storage unit and is connected to the DC bus through a DC power conversion module; The power distribution and energy distribution module includes a DC bus and an AC bus: the DC bus is used to transmit DC power and connect the DC supercharging pile, battery swap station, energy storage battery pack and DC power conversion module; the AC bus is used to transmit AC power and connect the photovoltaic inverter, box-type substation and AC charging pile; Charging and battery swapping facilities, including AC charging piles that draw power from the AC bus, DC supercharging piles that draw power from the DC bus, and battery swap stations that draw power from the DC bus; The control system includes an energy dispatching system, a station control system, and a device control layer. The energy dispatching system communicates with lower-layer devices via a communication protocol to collect energy operating status data and grid information, and to perform energy distribution and scheduling according to energy priority strategies. The station control system manages charging piles, energy storage systems, and mobile power transmission vehicles. The device control layer performs charging control, temperature management, and battery replacement operations. The system is equipped with power electronic transformers and virtual synchronous machine control modules to achieve grid frequency compensation and voltage stability control, thereby completing multi-energy coordinated control and intelligent scheduling.

[0028] Reference Figure 1 , box-type substation corresponds to Figure 1 "Box-type transformer 10kV / 380VAC", box-type transformer substation and AC busbar ( Figure 1 The red line in the middle is used to convert high-voltage electricity from the power grid into low-voltage alternating current, providing a stable main power input for the entire system and serving as the basic source of conventional electricity for the system.

[0029] Photovoltaic panels and photovoltaic inverters Figure 1 The "2000 square meter photovoltaic" and "350kW photovoltaic inverter" are included in the product. Photovoltaic panels convert solar energy into direct current (DC), which is then converted to AC by a PV inverter and connected to the AC bus. The generated electricity can be directly used by devices within the system, and any excess energy can be stored in an energy storage system, achieving efficient utilization and circulation of solar energy.

[0030] The energy storage system comprises an energy storage battery pack and a mobile power supply vehicle, wherein the energy storage battery pack can adopt Figure 1 "iron phosphate battery 508kWh*2" in the power conversion system PCS (Power Conversion System) and the AC bus. PCS can realize the bidirectional energy flow between the energy storage battery pack and the AC bus, store electric energy when charging, release electric energy when discharging, be used for peak clipping and valley filling, emergency power supply, and also can cooperate with the power grid interaction to balance the system energy. The mobile power supply vehicle corresponds to Figure 1 "mobile power supply vehicle 282kWh", as a mobile energy storage unit, is connected with the DC bus (blue line in Figure 1 DC / DC module) through a DC / DC module (DC / DC module in Figure 1 ). It can be flexibly moved and can supplement the system with electric energy in specific scenarios (such as local area power shortage, off-grid scenario), provide independent power supply support, and enhance the flexibility of system energy supplement.

[0031] The power distribution and energy distribution module comprises a DC bus and an AC bus. The DC bus undertakes the task of DC power transmission, connects the DC super charging pile, the battery of the battery swap station, the energy storage battery pack (connected through PCS) and the DC conversion module of the mobile power supply vehicle, is the key channel for the distribution and circulation of DC power in the system, and guarantees the power supply and interaction of the DC side equipment. The AC bus is responsible for AC power transmission and is connected with the photovoltaic inverter, the box-type substation and the AC charging pile to supply power to the AC side equipment and realize the distribution and use of AC power in the system.

[0032] The charging and battery swap facility comprises an AC charging pile, a DC super charging pile and a battery swap station. The AC charging pile takes power from the AC bus to provide charging service for new energy vehicles and other equipment adapted to AC charging, and meets the conventional AC charging demand. The DC super charging pile takes power from the DC bus and has higher charging power to quickly supplement the power of new energy vehicles and adapt to the fast energy supplement scenario. The battery swap station obtains power from the DC bus to provide battery replacement service for new energy vehicles, and the required power in the battery replacement process is guaranteed by the DC bus to improve the energy supplement efficiency and convenience.

[0033] The control system comprises an energy scheduling system, a station control system and a device control layer. The energy scheduling system communicates with lower-layer devices (including photovoltaic inverters, energy storage PCSs, charging piles and mobile power supply vehicles) through a communication protocol such as TCP / IP, collects energy operation state data and power grid information, adopts an energy priority strategy taking photovoltaic power generation as the primary energy source, an energy storage system as a supplementary energy supply means and a power grid as the final guarantee, dynamically allocates energy distribution of each energy unit and optimizes system operation. The energy operation state data includes photovoltaic power generation power, energy storage residual power and charging facility operation data, and the power grid information includes time-of-use electricity price, power grid load state and emergency power limiting instruction. The station control system is used for managing charging piles, energy storage systems and mobile power supply vehicles, coordinating device working states, responding to instructions of the energy scheduling system and guaranteeing orderly operation of each device. The device control layer is used for executing charging control, temperature management (such as temperature control of energy storage batteries and charging piles) and battery replacement operation (actions of a mechanical arm of a battery replacement station) and implementing control of bottom-layer devices of the system.

[0034] In the embodiment, the system is also configured with a power electronic transformer and a virtual synchronous machine control module. The power electronic transformer is based on SiC (silicon carbonyl) material, which has the characteristics of high frequency, high efficiency and low loss, so that the regulation rate of the power electronic transformer reaches ±150kW / ms, the power electronic transformer can quickly respond to the power change demand of the power grid and quickly swallow electric energy, thereby providing a hardware basis for frequency compensation. The virtual synchronous machine control module simulates the inertia, damping and frequency modulation characteristics of a traditional synchronous generator. When the frequency of the power grid fluctuates, the virtual synchronous machine can quickly adjust the power output according to the frequency change, just like a traditional unit. For example, when the frequency decreases, the active output is quickly increased to “support” the frequency; when the frequency rises, the output is reduced to suppress the over-frequency. The fast regulation capability of the SiC-based power electronic transformer, combined with the intelligent control of the virtual synchronous machine, can perceive and respond to frequency fluctuations within 200ms, offset or compensate the fluctuation influence by accurately adjusting the power, so that the frequency of the power grid returns to the stable interval. The frequency deviation suppression rate is greater than or equal to 80%, which is equivalent to providing an inertia time constant of 5s.

[0035] In the embodiment, the energy scheduling system adopts an energy priority strategy taking photovoltaic power generation as the primary energy source, an energy storage system as a supplement and a power grid as the final guarantee. By collecting energy operation state data and power grid information in real time, the energy supply and demand of the system can be accurately grasped, and the energy distribution of each energy unit can be dynamically adjusted. At the same time, combined with the power electronic transformer and the virtual synchronous machine control module, frequency compensation and voltage stability control of the power grid are realized, so that intelligent scheduling of multi-energy cooperation is completed, the stability and reliability of the system are guaranteed, and efficient management and utilization of energy are realized.

[0036] After new energy supplement scene test, the new energy scene cooperative supplement system based on multi-energy complementation provided by the application realizes "high green electricity penetration, strong power grid interaction and fast dynamic response" through multi-energy cooperation and intelligent scheduling. Power grid load reduction: photovoltaic direct supply and energy storage peak shaving make the power grid basic load reduce by 60%-78%, and the peak-valley difference rate is compressed from 63% to 19%, and the typical scene annual electricity saving is more than 820,000 yuan.

[0037] Efficient use of green electricity: the photovoltaic consumption rate is increased to 92.7% (abandoned light rate ≤3%), the daily average cycle number of energy storage batteries is increased to 6.2 times, and the service life is 6200 cycles (capacity retention rate >82%).

[0038] Power grid safety support: SiC power electronic transformer and virtual synchronous machine module realize frequency compensation within 200ms (deviation suppression rate ≥80%), equivalent 5s inertia time constant; voltage tolerance range is expanded to ±10%, and fluctuation rate is reduced to within 1.5%.

[0039] Figure 2 It is the architecture diagram of the control system provided by the application, and the architecture of the control system is shown in Table 1.

[0040] Table 1

[0041] Referring to Figure 2 and Table 1, the control system includes an energy scheduling system (management layer), a station control system and a device control layer. It also includes a communication layer and a communication protocol.

[0042] Referring to Figure 1 , the energy scheduling system (management layer) is connected to the switch (communication layer) through the TCP / IP protocol, and then communicates with each system in the lower layer. As the global control core, the energy scheduling system collects photovoltaic, energy storage, charging facility and other energy running state data (including photovoltaic power generation power, energy storage battery SOC, real-time power of charging pile, etc.) and information such as time-of-use electricity price and load state on the power grid side by means of TCP / IP protocol. According to the energy priority strategy of "photovoltaic first, energy storage power supplement and power grid bottom", the charging and discharging scheduling decision is made, and the energy distribution of each energy unit is coordinated, such as scheduling energy storage charging when photovoltaic is abundant and scheduling energy storage discharging to supplement energy at power peak.

[0043] The station control layer includes a battery swap station (station control system), which is connected to the switch through TCP / IP, and is associated with the management of charging piles, energy storage systems, and mobile discharge vehicles. The station control system focuses on the management and control of devices within the battery swap station scenario, manages the operation of 7kW AC charging piles and 1.2MW DC charging piles, including start and stop and power distribution, controls the charging and discharging state of the energy storage system, and cooperates with the mobile power supply vehicle through 4G / CAN communication. It is the intermediate layer of the implementation of the energy scheduling system strategy in the battery swap station, which receives the upper layer scheduling instructions and manages the devices in the station.

[0044] The device control layer includes a motion control system PLC, which is connected to the switch through TCP / IP, and is connected to the charging control board, water cooling control board, and battery compartment through CAN protocol. The motion control system PLC, as the bottom layer execution unit, receives the instructions from the station control system, accurately controls the charging control board to realize the start and stop of the charging pile and power adjustment, manages the device temperature through the water cooling control board, and schedules the battery compartment (100kWh*6) to complete the battery replacement related actions. It is the execution layer of the system function.

[0045] The communication protocol includes: TCP / IP: as a remote communication bridge between the energy scheduling system and the device control layer, it is realized as the TCP / IP connection of the energy scheduling system-switch-each lower system in Figure 2 , which ensures the cross-layer data transmission.

[0046] CAN: used for real-time control between devices, in which the PLC is connected to the charging control board, water cooling control board, etc. through CAN, realizing millisecond-level instruction interaction, including real-time adjustment of charging pile power and temperature control start and stop.

[0047] 4G: supports remote access of mobile power supply vehicles, enabling them to flexibly cooperate within the system, corresponding to "4G: remote access of mobile discharge vehicles", allowing mobile energy storage units to participate in energy scheduling without being limited by cables.

[0048] In the embodiment of the application, the control system takes the energy scheduling system as the decision core, the station control system as the intermediate management layer, and the device control layer as the execution layer, relying on the communication protocols of TCP / IP, CAN, and 4G, cooperating with the power electronic transformer and virtual synchronous machine control module, realizing energy data collection, strategy scheduling, device management and control, and grid cooperation, achieving intelligent energy compensation and stable operation in a multi-energy complementary scenario.

[0049] As a preferred embodiment, in the power input and conversion module, the photovoltaic panel and photovoltaic inverter constitute a photovoltaic power generation unit, and the output AC power is preferentially connected to the AC bus for charging and battery swap facilities, and the excess power is stored by the energy storage system or returned to the power grid.

[0050] In this embodiment, the photovoltaic panel and the photovoltaic inverter form a photovoltaic power generation unit, which converts solar energy into alternating current and is preferentially connected to the alternating current bus. This design ensures that photovoltaic power generation can be used by the charging and battery swapping facility first, embodying efficient use of clean energy. When there is excess photovoltaic power generation, the excess power is not wasted but stored by the energy storage system for subsequent use; or when the power grid needs power, the excess power is returned to the power grid, realizing flexible deployment and maximum utilization of energy.

[0051] As a preferred embodiment, in the energy storage system, the energy storage battery pack realizes bidirectional energy flow with the AC / DC bus through the power conversion system PCS, for peak clipping, emergency power supply, and grid interaction; the mobile power supply vehicle is connected to the DC bus through a DC conversion module, providing flexible power supplement or independent power supply in off-grid scenarios.

[0052] Specifically, with the help of the power conversion system PCS, the energy storage battery pack realizes bidirectional energy flow with the AC / DC bus. This bidirectional flow characteristic enables it to play an important role in the system, storing energy during low electricity consumption and releasing energy during high electricity consumption, thereby playing a role in peak clipping and filling, balancing system load; at the same time, it can be used as an emergency power supply in emergency situations; it can also interact with the power grid, adjusting the charging and discharging state according to the grid demand, balancing system energy. As a mobile energy storage unit, the mobile power supply vehicle is connected to the DC bus through a DC conversion module. Its flexibility enables it to provide additional power supplement when needed, especially in off-grid scenarios, enabling it to independently power the system, enhancing the adaptability and power supplement flexibility of the system in different scenarios.

[0053] As a preferred embodiment, in the power distribution and energy distribution module, the DC bus and the AC bus serve as the energy transmission hub, and the energy flow direction is dynamically adjusted by the energy scheduling system of the control system to realize priority allocation of photovoltaic power generation, energy storage power supply, and grid power supplement.

[0054] The energy flow is dynamically adjusted by the energy scheduling system of the control system. The energy scheduling system flexibly adjusts the energy flow direction according to real-time energy conditions and demand, reasonably allocates the priority of photovoltaic power generation, energy storage power supply, and grid power supplement, and ensures efficient and stable operation of the system under different working conditions.

[0055] As a preferred embodiment, in the charging and battery swapping facility, the DC super-charging pile and the battery swapping station preferentially use photovoltaic power or energy storage power through the DC bus, and only use grid power when photovoltaic and energy storage power is insufficient.

[0056] In this embodiment, the DC super-charging pile and the battery swap station prefer to call photovoltaic power generation or energy storage power from the DC bus, which further strengthens the use of clean energy and energy storage resources. Only when the power provided by photovoltaic power generation and energy storage is insufficient to meet the demand, the grid power supply will be enabled. This priority setting helps to reduce dependence on traditional power grids, improve energy utilization efficiency, and reduce energy costs.

[0057] In a preferred embodiment of the present application, referring to Table 2, Table 2 details the differences between the traditional power supply method and the new energy scene cooperative energy supply system architecture based on multi-energy complementation from multiple comparison dimensions.

[0058] Table 2

[0059] In terms of peak load regulation, the traditional power supply method mainly relies on the grid's own peak regulation. When the load is at a peak, the power generation needs to be increased or the power consumption needs to be limited. However, the system architecture uses a mode of cooperation between energy storage batteries (1000 kWh) and photovoltaic (350 kW) to store excess power and release it during peak periods, effectively reducing the pressure on the grid.

[0060] For high-power demand processing, in the traditional way, high-power devices (such as super-charging piles) directly take power from the grid, which often requires the grid to be expanded. However, in the system architecture, the super-charging pile (1.2 MW) and the battery swap station (600 kW) prefer to call the power provided by energy storage or photovoltaic, thereby reducing the instantaneous load on the grid.

[0061] In terms of two-way interaction capability, the traditional power supply is a one-way power supply from the grid, and users are in a passive power consumption state. However, in the system architecture, the PCS supports two-way charging and discharging of energy storage and the grid, and users can participate in peak regulation or emergency support, thereby improving the flexibility of the grid.

[0062] In terms of renewable energy utilization, the traditional method relies on centralized renewable energy power stations, and the local utilization rate is low. However, in the system architecture, 2000 square meters of photovoltaic local power generation and energy storage are used to absorb excess power, thereby reducing the light rejection rate.

[0063] In terms of grid expansion demand, the traditional power supply needs to frequently upgrade grid facilities to meet peak load. However, in the system architecture, local energy storage and photovoltaic share the load, thereby reducing the investment in grid expansion.

[0064] In terms of the impact of load fluctuations, in the traditional power supply method, user power fluctuations directly affect the stability of the grid. However, in the system architecture, energy storage smooths out the fluctuations in charging and discharging, thereby reducing the impact on the grid.

[0065] In terms of grid stability, traditional power supply relies on centralized power generation, and the impact of faults is large. The system architecture adopts a distributed "light-storage-charging" architecture, and local faults will not affect the whole, supporting island operation.

[0066] In terms of emergency power supply capacity, traditional power supply relies on backup generators or grid recovery, and the response speed is slow. The system architecture provides fast emergency power supply through energy storage batteries and mobile power supply vehicles (282kWh).

[0067] In terms of carbon emissions, traditional power supply is mainly based on thermal power, and carbon emissions are high. The system architecture preferentially uses photovoltaic power supply, and energy storage for peak regulation, significantly reducing carbon emissions.

[0068] In summary, compared with traditional power supply methods, the system architecture has significant advantages in peak clipping and valley filling, high power processing, two-way interaction, renewable energy utilization, and other key dimensions, realizing a more efficient, flexible, stable and environmentally friendly power supply mode.

[0069] Figure 3 The collaborative energy supply control method flow chart of the new energy scene collaborative energy supply system based on multi-energy complementation provided by the present application is provided. Referring to Figure 3 The embodiment of the present application provides a collaborative energy supply control method of a new energy scene collaborative energy supply system based on multi-energy complementation, comprising: Multi-source data acquisition: The energy dispatching system collects energy operation state data, grid information and environmental data; the energy operation state data includes photovoltaic power generation power, energy storage remaining power and charging facility operation data, the grid information includes time-of-use electricity price, grid load state and emergency power limiting instruction; Energy priority dispatching: The energy dispatching system adopts an energy priority strategy that takes photovoltaic power generation as the primary power supply source, energy storage system as the supplementary power supply means, and grid power supply as the final guarantee, dynamically adjusts energy unit energy distribution combined with collected data, preferentially dispatches photovoltaic power supply to charging and battery swapping facilities, and stores or returns surplus power to the grid; Dispatching execution and control: The energy dispatching system sends dispatching instructions to the station control system through TCP / IP, and the station control system parses the dispatching instructions into specific operations through CAN bus; the device control layer uploads operation data every preset time, and the energy dispatching system dynamically adjusts the energy distribution strategy according to the feedback, realizing closed-loop control of multi-energy collaborative energy supply.

[0070] Specifically, the energy scheduling system, as the core control unit of the light-storage-charging system, first realizes full-dimensional data acquisition through multiple communication protocols. In terms of energy operation state data, the real-time power generation of the photovoltaic system, the light intensity, and the inverter state are collected to master the real-time ability of solar energy conversion into electricity; the remaining battery capacity (SOC), the health state (SOH), the charging and discharging power, and the temperature of the energy storage system are monitored to ensure safe and efficient operation of the energy storage unit; the real-time power, queuing state, and user demand priority of the charging facility are obtained to accurately match the energy supplement demand. In terms of power grid information collection, the time-of-use electricity price, power grid load state, and emergency power-off instructions are received to optimize the energy scheduling strategy and respond to the demand of the power grid. In addition, environmental data such as weather forecast, temperature, and peak-valley electricity price period are collected to provide auxiliary information for energy prediction and scheduling.

[0071] In the application of specific communication protocols, the TCP / IP protocol is used for data transmission between the management layer (energy scheduling system) and the device control layer to ensure stable data interaction; the CAN bus protocol realizes real-time control instruction transmission between devices, such as charging pile start-stop and power adjustment, with millisecond-level response operations; the 4G / 5G protocol supports wireless communication of mobile power delivery vehicles and remote monitoring terminals, realizes the collection of location and power state of mobile energy storage units, and remote parameter configuration, forming a globally covered data sensing network.

[0072] The energy scheduling system adopts the priority strategy of "photovoltaic power generation first, energy storage system supplement, and power grid backup", and dynamically adjusts energy distribution combined with real-time data. When the light is sufficient, photovoltaic power is preferentially supplied to charging piles and battery swap stations, and excess power is stored in the energy storage system when the remaining battery capacity (SOC) is less than 90%, or is returned to the power grid to improve energy utilization. When photovoltaic power supply is insufficient, enter the energy storage supplement stage: at peak electricity price period or power grid load is tight, call energy storage power to supply DC super charging pile and battery swap station, while limit the depth of energy storage discharge (SOC not less than 20%) to prolong the battery life. If photovoltaic and energy storage cannot meet the demand, the power grid backup mechanism is started: at the valley electricity price period, charge the energy storage from the power grid, in emergency (such as energy storage failure), directly use the power grid to supply power to ensure the continuous operation of the system.

[0073] The energy priority scheduling step comprises a dynamic load distribution strategy. In terms of charging pile power adjustment, the power proportion of alternating current charging piles and direct current super charging piles is dynamically distributed according to user demand priority (such as emergency vehicle priority). When the total demand of direct current super charging piles exceeds the system power supply capacity, the power of a single pile is automatically limited (such as limited to 400kW per pile when there are 3 piles), so as to ensure load balance. The battery compartment of the battery swap station is linked with the energy storage battery pack. Low-power batteries are preferentially connected to the direct current bus for charging, and full-power batteries are preferentially allocated to battery swap vehicles. At the same time, in combination with time-of-use electricity prices, the battery swap station is preferentially powered from the grid or photovoltaic during the low valley period, and full-power batteries of the battery swap station are preferentially called to supply power to the load during the peak period, so as to reduce the electricity cost and improve the economy.

[0074] The energy scheduling system sends scheduling instructions (such as "energy storage discharging to 500kW") to the station control system through the TCP / IP protocol. The station control system parses the instructions into specific operations through the CAN bus, such as controlling the PLC to adjust the direct current pile output voltage / current, starting the water cooling system (when the temperature is greater than or equal to 60℃), scheduling the battery replacement of the battery swap station mechanical arm, etc., so as to realize the transmission of the strategy from the decision layer to the device layer. The device control layer uploads the running data (SOC, temperature, fault code, etc.) every preset time (such as 5 seconds). The energy scheduling system dynamically optimizes the strategy according to the feedback: if the photovoltaic power generation suddenly drops, the energy storage discharging proportion is immediately increased; if a charging pile is overloaded, its power is reduced and distributed to the idle pile, forming a closed loop control of "instruction issuing-execution feedback-strategy adjustment", so as to ensure the efficient and stable multi-energy collaborative power supply.

[0075] The multi-source data acquisition further clarifies the data interaction mechanism through a layered communication protocol: the TCP / IP protocol focuses on energy running state data transmission, the CAN bus protocol guarantees real-time control instructions to respond quickly, and the 4G / 5G protocol realizes wireless interaction between mobile devices and remote terminals, so as to improve the real-time and reliability of data acquisition. The dynamic load distribution strategy in the energy priority scheduling solves the power conflict problem in the multi-load scenario through intelligent adjustment of the charging pile power and linkage scheduling of the battery swap station battery, so as to improve the energy utilization efficiency. The abnormal processing mechanism enhances the risk resistance of the system: when the photovoltaic fails, it is immediately switched to energy storage power supply, and when the energy storage is insufficient, the mobile power supply vehicle is triggered to supply power and is linked with the grid; when the power grid is powered off, the photovoltaic and the energy storage form an independent microgrid, which maintains the stability of the microgrid frequency and voltage through the virtual synchronous machine control module, preferentially guarantees the operation of the key load, and realizes continuous power supply in the off-grid scenario.

[0076] The collaborative power supply control method of the multi-energy complementary new energy scene collaborative power supply system provided by the application effectively solves the problems of insufficient energy consumption, load regulation lag and lack of energy efficiency collaboration in traditional new energy power supply systems through collaborative scheduling and closed-loop control of multi-energy complementation, improves the energy utilization efficiency and grid stability, and meets the diversified power supply demand in the new energy scene.

[0077] In a preferred embodiment of the present application, the new energy scene collaborative energy supplement system scheduling algorithm logic provided by the present application is illustrated by Python code: python # Simplified version of scheduling algorithm logic (based on rule engine) def energy_dispatch_strategy(): # Get real-time data pv_power = get_pv_generation() # Photovoltaic power generation power load_demand = get_charging_demand() # Total demand for charging grid_price = get_grid_price() # Current electricity price battery_soc = get_battery_soc() # Remaining battery capacity Call the get_pv_generation function to get the current photovoltaic power generation power; get the total demand power of all charging devices in the current system through the get_charging_demand function. Use the get_grid_price function to get the current electricity price information of the power grid. The electricity price may vary according to different time periods. Call the get_battery_soc function to get the remaining capacity of the energy storage system (battery) to understand the current energy storage situation of the energy storage system.

[0078] # Strategy 1: Photovoltaic priority if pv_power>= load_demand: supply_from_pv = load_demand supply_from_battery = 0 supply_from_grid = 0 charge_battery(pv_power - load_demand) # Excess photovoltaic charging energy storage else: supply_from_pv = pv_power remaining_load = load_demand - pv_power For strategy 1, it is determined whether the photovoltaic power is greater than or equal to the current total charging demand. If the photovoltaic power is sufficient to meet the charging demand, the photovoltaic will provide all the required power for charging, that is, supply_from_pv is equal to load_demand. At this time, the energy storage system does not need to provide power, so the supply_from_battery is set to 0. Similarly, there is no need to obtain power from the grid, and the supply_from_grid is also set to 0. If the photovoltaic power has a surplus in addition to meeting the charging demand, that is, pv_power-load_demand is greater than 0, the charge_battery function is called to use the surplus photovoltaic power to charge the energy storage battery to store excess energy for subsequent use. else: If the photovoltaic power is insufficient to meet the charging demand, that is, pv_power<load_demand. At this time, the photovoltaic power will provide all the generated power for charging, and supply_from_pv is equal to pv_power. The remaining charging demand after the photovoltaic power is calculated, that is, remaining_load. This part of the remaining demand will be met by the energy storage system or the grid.

[0079] Strategy 2: Energy storage power compensation (peak tariff or SOC sufficient) if grid_price == "peak" or battery_soc>40%: supply_from_battery=min(remaining_load,battery_max_discharge_power) supply_from_grid = remaining_load - supply_from_battery else: supply_from_grid = remaining_load supply_from_battery = 0 For strategy 2, it is first determined whether the current grid price is in the peak period. And check whether the remaining energy (State of Charge, SOC) of the energy storage system is greater than 40%. When the energy storage system has sufficient energy, it can use the stored energy to meet part or all of the remaining charging demand, reducing the dependence on the grid. As long as any one of the above two conditions is met, the logic of energy storage power compensation will be executed.

[0080] The energy storage power supply takes the smaller value of "remaining load" and "maximum discharge power of energy storage", to ensure that it does not exceed the capacity of the energy storage device. The power grid supplements the gap of the remaining load after the energy storage power supply.

[0081] When the trigger condition is not met (else branch): When off-peak electricity price and insufficient energy storage (SOC ≤ 40%), supply_from_grid = remaining_load, directly by the grid to bear all the remaining load, to avoid excessive discharge of energy storage leading to life loss or lack of emergency capability.

[0082] The Python code of the core scheduling algorithm includes: def dispatch_strategy(self): """Dynamic scheduling strategy (including exception handling)""" # 1. Get real-time data pv_power = self.get_pv_generation() load_demand = self.get_charging_demand() grid_price = self.get_grid_price() battery_soc_percent = self.battery_soc / self.battery_capacity # 2. Exception detection and handling if pv_power == 0 and not self.fault_status["pv"]: self.fault_status["pv"] = True self.trigger_fault_recovery("pv") if self.battery_soc<= 50 and not self.fault_status["battery"]: self.fault_status["battery"] = True self.trigger_fault_recovery("battery") # 3. Scheduling logic supply_from_pv = min(pv_power, load_demand) remaining_load = load_demand - supply_from_pv # Energy storage power supply (peak electricity price or when SOC is sufficient) if grid_price>= 1.0 or battery_soc_percent>0.4: battery_discharge=min(remaining_load,self.battery_max_discharge,self.battery_soc) supply_from_battery = battery_discharge self.battery_soc -= battery_discharge else: supply_from_battery = 0 # Grid power replenishment remaining_load -= supply_from_battery supply_from_grid = remaining_load if self.grid_available else 0 # Reverse power transmission (electricity price arbitrage) if pv_power>load_demand and grid_price>0.5: sell_to_grid = pv_power - load_demand print(f"[Grid Interaction] Power sent back to the grid: {sell_to_grid}kW") # Issue instructions self.send_control_command(supply_from_pv, supply_from_battery,supply_from_grid) The following is a detailed analysis of the dispatch_strategy core scheduling algorithm: 1. Real-time data acquisition includes: pv_power: current photovoltaic power generation is obtained by calling the self.get_pv_generation() method. load_demand: the total demand power of all charging devices in the current system is obtained using the self.get_charging_demand() method. grid_price: the current grid price information is obtained by means of the self.get_grid_price() method. battery_soc_percent: the remaining capacity percentage of the energy storage system is calculated by dividing the current energy storage capacity self.battery_soc by the total capacity of the energy storage system self.battery_capacity. It helps to understand the energy storage state of the energy storage system and provides basis for subsequent scheduling decisions.

[0083] 2. Abnormality detection and processing includes: if the photovoltaic power generation is 0 and the photovoltaic system has not been marked as fault status (not self.fault_status["pv"]), the fault status of the photovoltaic system is marked as True, and the self.trigger_fault_recovery("pv") method is called for fault recovery operation, such as switching to backup device or taking other emergency measures. When the current energy self.battery_soc of the energy storage system is less than or equal to 50 and the energy storage system has not been marked as fault status before, the fault status of the energy storage system is marked as True, and the self.trigger_fault_recovery("battery") method is called for fault recovery, such as connecting mobile power car, etc.

[0084] 3. Scheduling logic includes: first, determine the supply_from_pv that the photovoltaic system can provide, take the smaller value of the photovoltaic power generation pv_power and the total charging demand load_demand. Then, calculate the remaining charging demand remaining_load after photovoltaic power supply.

[0085] The energy storage power supply (peak price or SOC sufficient) strategy includes: 1) Condition judgment: if the current price grid_price is greater than or equal to 1.0 (in the peak price period) or the remaining battery soc percentage battery_soc_percent of the energy storage system is greater than 0.4 (the energy storage system is sufficient), the energy storage system is considered to be powered. 2) Power supply calculation: calculate the discharge power battery_discharge of the energy storage system, take the minimum value of the remaining charge demand remaining_load, the maximum discharge power self.battery_max_discharge of the energy storage system and the current energy storage power self.battery_soc. 3) Update the energy storage power: subtract the actual discharge power battery_discharge from the current energy storage power self.battery_soc of the energy storage system to reflect the change of the energy storage system power. 4) If the above conditions are not met, the power supply supply_from_battery of the energy storage system is set to 0.

[0086] The grid power supply strategy includes: after the energy storage system is powered, update the remaining charging demand remaining_load. If the grid is available, that is, self.grid_available is True, the power supply supply_from_grid of the grid is equal to the remaining charging demand; otherwise, the grid power supply is 0.

[0087] The reverse power supply strategy includes: if the photovoltaic power generation power pv_power is greater than the total charging demand load_demand, and the current price grid_price is greater than 0.5, it means that there is an opportunity for price difference arbitrage. Calculate the amount of electricity that can be sent to the grid sell_to_grid, that is, the photovoltaic power generation power minus the total charging demand, and print the relevant information.

[0088] The instruction issuing strategy includes: calling the self.send_control_command method, taking the calculated photovoltaic power supply supply_from_pv, energy storage power supply supply_from_battery and grid power supply supply_from_grid as parameters to issue instructions to control each energy supply unit to work according to the scheduling strategy.

[0089] The core scheduling algorithm of the embodiment of the present application realizes intelligent scheduling of multi-energy collaborative energy supplement in a new energy scene, improves energy utilization efficiency, reduces electricity cost, and enhances system stability and reliability by real-time acquisition of system data, abnormality detection and processing, dynamic adjustment of power supply of photovoltaic, energy storage and power grid according to factors such as electricity price and energy storage state, and reverse power transmission operation in appropriate cases.

[0090] The above embodiments only express several embodiments of the present application, and the description is more specific and detailed, but it cannot be understood as a limitation on the scope of the present application. It should be noted that for ordinary skilled persons in the art, without departing from the concept of the present application, several modifications and improvements can be made, which belong to the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

[0091] Finally, it should be pointed out that: the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A new energy scenario collaborative energy replenishment system based on multi-energy complementarity, characterized in that: include: The power input and conversion module includes a box-type substation, photovoltaic panels, and a photovoltaic inverter; the box-type substation and photovoltaic inverter are both connected to the AC bus; The box-type substation is used to convert high-voltage electricity into low-voltage alternating current (AC) to provide the main power input for the system; the photovoltaic panels and photovoltaic inverters are used to convert solar energy into AC power, which is connected to the AC bus for system use or storage; The energy storage system includes an energy storage battery pack and a mobile power transmission vehicle: the energy storage battery pack is connected to the AC / DC bus through a power conversion system; the mobile power transmission vehicle serves as a mobile energy storage unit and is connected to the DC bus through a DC power conversion module; The power distribution and energy distribution module includes a DC bus and an AC bus: the DC bus is used to transmit DC power and connect the DC supercharging pile, battery swap station, energy storage battery pack and DC power conversion module; the AC bus is used to transmit AC power and connect the photovoltaic inverter, box-type substation and AC charging pile; Charging and battery swapping facilities, including AC charging piles that draw power from the AC bus, DC supercharging piles that draw power from the DC bus, and battery swap stations that draw power from the DC bus; The control system includes an energy dispatching system, a station control system, and a device control layer. The energy dispatching system communicates with lower-layer devices via a communication protocol to collect energy operating status data and grid information, and to perform energy distribution and scheduling according to energy priority strategies. The station control system manages charging piles, energy storage systems, and mobile power transmission vehicles. The device control layer performs charging control, temperature management, and battery replacement operations. The system is equipped with power electronic transformers and virtual synchronous machine control modules to achieve grid frequency compensation and voltage stability control, thereby completing multi-energy coordinated control and intelligent scheduling.

2. The new energy scenario collaborative energy replenishment system based on multi-energy complementarity according to claim 1 is characterized in that: In the power input and conversion module, the photovoltaic panels and photovoltaic inverters constitute a photovoltaic power generation unit, and the AC power output is preferentially connected to the AC bus for use in charging and battery replacement facilities. Surplus electric energy is stored through the energy storage system or returned to the power grid.

3. The new energy scenario collaborative energy replenishment system based on multi-energy complementarity according to claim 1 is characterized in that: In the energy storage system, the energy storage battery pack realizes bidirectional energy flow with the AC / DC bus through the power conversion system PCS, which is used for peak shaving and valley filling, emergency power supply and grid interaction; the mobile power transmission vehicle is connected to the DC bus through the DC power conversion module, providing flexible power supplement or independent power supply in off-grid scenarios.

4. The new energy scenario collaborative energy replenishment system based on multi-energy complementarity according to claim 1 is characterized in that: In the power distribution and energy allocation module, the DC bus and AC bus serve as energy transmission hubs, and the energy dispatching system of the control system dynamically adjusts the flow of electric energy to achieve priority allocation of photovoltaic power generation, energy storage power supply and grid power replenishment.

5. The new energy scenario collaborative energy replenishment system based on multi-energy complementarity according to claim 1 is characterized in that: In the charging and battery swapping facilities, the DC supercharging piles and battery swapping stations give priority to calling photovoltaic power generation or energy storage power through the DC bus, and only enable grid power supplementation when photovoltaic and energy storage are insufficient.

6. The new energy scenario collaborative energy replenishment system based on multi-energy complementarity according to claim 1 is characterized in that: The energy dispatching system adopts an energy priority strategy with photovoltaic power generation as the primary energy source, energy storage system as a supplementary energy supply means, and grid power supply as the ultimate guarantee. It dynamically adjusts the energy distribution of each energy unit through the real-time collection of energy operation status data and grid information, and realizes grid frequency compensation and voltage stability control through the power electronic transformer and virtual synchronous machine control module to complete multi-energy coordinated intelligent dispatching.

7. The collaborative energy replenishment control method of the new energy scenario collaborative energy replenishment system based on multi-energy complementarity according to any one of claims 1 to 6, characterized in that: include: Multi-source data collection: The energy dispatch system collects energy operation status data, grid information, and environmental data. The energy operation status data includes photovoltaic power generation, remaining energy storage capacity, and charging facility operation data. The grid information includes time-of-use electricity prices, grid load status, and emergency power restrictions. Energy priority scheduling: The energy scheduling system adopts an energy priority strategy with photovoltaic power generation as the primary energy source, energy storage systems as a supplementary energy supply means, and grid power supply as the ultimate guarantee. Based on the collected data, the energy distribution of energy units is dynamically adjusted, and photovoltaic power is prioritized for charging and battery replacement facilities. Excess power is stored or returned to the grid. Dispatching execution and control: The energy dispatching system sends dispatching instructions to the station control system via TCP / IP, and the station control system interprets the dispatching instructions into specific operations via the CAN bus. The equipment control layer uploads operating data at preset intervals, and the energy dispatching system dynamically adjusts the energy allocation strategy based on the feedback, achieving closed-loop control of multi-energy collaborative energy replenishment.

8. The coordinated energy replenishment control method according to claim 7, characterized in that: The multi-source data collection step specifically includes: Collect energy operation status data between the energy dispatch system and the equipment control layer through TCP / IP protocol; Transmit real-time operation instructions of the device control layer through the CAN bus protocol, including charging pile start and stop control and power adjustment instructions; Through the 4G / 5G protocol, wireless interaction information between the mobile power transmission vehicle and the remote monitoring terminal is collected, including the remaining power and location status of the mobile power transmission vehicle, as well as the monitoring instructions and parameter configuration of the remote terminal for the system.

9. The coordinated energy replenishment control method according to claim 7, characterized in that: The energy priority scheduling step includes a dynamic load distribution strategy, which includes: Charging pile power adjustment: Dynamically allocates the power ratio of AC charging piles and DC supercharging piles based on user demand priority. When the total demand of DC supercharging piles exceeds the system power supply capacity, the power of each pile is automatically limited to ensure load balancing; Battery scheduling at battery swap stations: The battery compartments at battery swap stations are linked to energy storage battery packs. Batteries with low battery capacity are connected to the DC bus for charging first, and fully charged batteries are allocated to battery swap vehicles first. Combined with time-of-use electricity prices, batteries at battery swap stations are replenished from the grid or photovoltaic power generation during off-peak hours, and fully charged batteries at battery swap stations are used to supply power to loads during peak hours.

10. The coordinated energy replenishment control method according to claim 7, characterized in that: The energy priority scheduling step further includes: When the photovoltaic system fails, the energy dispatch system immediately switches to full power supply mode of the energy storage battery pack; if the energy storage is insufficient, the mobile power transmission vehicle is triggered to connect to the DC bus through the DC power conversion module for temporary energy replenishment, and the grid power replenishment process is simultaneously triggered; When the power grid is out of power, the energy dispatching system cuts off the connection with the grid, and an independent microgrid consisting of photovoltaic panels and energy storage battery packs is formed to give priority to the operation of key loads such as battery swap stations and emergency charging piles. The frequency and voltage of the microgrid are maintained stable through the virtual synchronous machine control module, realizing continuous energy replenishment in off-grid scenarios.

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