Energy circulation system based on light storage and heat charging cooperation, application and control equipment thereof

By integrating photovoltaic, energy storage, charging, and heat storage into a synergistic energy cycle system and using an intelligent dynamic scheduling module, the problems of low energy utilization efficiency and inflexible scheduling in the existing energy supply system are solved. This enables efficient and flexible energy management and waste heat recovery, meets diverse energy needs, and reduces dependence on the traditional power grid.

CN120792567APending Publication Date: 2025-10-17XIAMEN Z&H ELECTRONICS TECH

Patent Information

Application Number
CN202511026928.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-24
Publication Date
2025-10-17

AI Technical Summary

Technical Problem

The existing energy supply system suffers from low energy efficiency, high dependence on traditional power grids, serious energy waste, and a lack of intelligent and flexible energy dispatch, making it difficult to meet diverse energy demands.

Method used

Through the coordinated design of a photovoltaic-storage-charging-heat energy cycle system, including photovoltaic power generation modules, power conversion devices, energy storage-charging station modules, heat recovery devices, and coolant circulation devices, an integrated energy cycle system is formed. Combined with intelligent dynamic scheduling modules and bidirectional inverter modules, it achieves efficient conversion of electrical energy and recovery of waste heat, broadens the channels for clean energy input, and enhances the system's flexibility and applicability.

Benefits of technology

It improves the overall efficiency of energy utilization, reduces dependence on traditional power grids, enhances the flexibility and economy of energy dispatching, meets diversified energy needs, and reduces energy waste and pollutant emissions.

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Patent Text Reader

Abstract

The invention provides an energy circulation system based on light storage and heat charging cooperation, application and control equipment thereof. The system comprises a photovoltaic power generation module, a power conversion device, an energy storage-charging station module, a heat energy recovery device and a cooling liquid circulation device. The photovoltaic power generation module is connected with the energy storage-charging station module, the power grid and the power utilization system through the power conversion device; the energy storage-charging station module is connected with a power grid, comprises an energy storage station and a charging pile cluster, and is used for storage, charging and discharging of electric energy and charging of an electric vehicle; the heat energy recovery device is connected with the cooling system of the cooling liquid circulating device, the charging pile cluster, the energy storage station and the power conversion device and used for recovering waste heat generated by the cooling liquid in the cooling system; and the cooling liquid circulating device is connected with the charging pile cluster, the energy storage station and a cooling system of the power conversion device to form a cooling liquid circulating system. The problems of low energy utilization efficiency, dependence on a traditional power grid, unintelligent regulation and control and the like in the prior art are effectively solved.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of energy comprehensive utilization, in particular to an energy circulation system based on light-storage-charge-heat cooperation, application and control equipment thereof. BACKGROUND

[0002] With the rapid development of new energy vehicles, the demand for charging infrastructure is increasing. At present, the traditional energy supply system has problems such as low energy utilization efficiency, high dependence on traditional power grid, and serious energy waste. In the process of energy conversion and use, a large amount of waste heat is not effectively recycled, at the same time, single energy supply form is difficult to meet the diversified energy demand, and the energy dispatching lacks intelligence and flexibility, resulting in poor economy and stability of system operation.

[0003] The existing photovoltaic power generation system is simply combined with energy storage, or only isolated waste heat recovery is carried out, and a complete energy circulation system is not formed. The cooperation between each energy link is poor, and the comprehensive utilization efficiency of energy is low. In addition, the control equipment has defects in data acquisition and dispatching strategy, and cannot accurately and dynamically regulate energy according to the actual situation, which is difficult to adapt to the complex and changeable energy supply and demand situation.

[0004] Therefore, an energy circulation system capable of realizing light-storage-charge-heat cooperation, improving energy comprehensive utilization efficiency, reducing dependence on traditional power grid and having intelligent control ability is urgently needed. SUMMARY

[0005] In order to solve the problems mentioned in the background art, the present application proposes an energy circulation system based on light-storage-charge-heat cooperation, application and control equipment thereof.

[0006] According to the first aspect of the present application, an energy circulation system based on light-storage-charge-heat cooperation is provided, which comprises: a photovoltaic power generation module, a power conversion device, an energy storage and charging station module, a heat recovery device and a cooling liquid circulation device. The photovoltaic power generation module is used for converting solar energy into electric energy. The power conversion device is connected with the energy storage and charging station module, the power grid and the power utilization system through the photovoltaic power generation module, so as to realize the conversion and transmission of electric energy. The energy storage and charging station module is connected with the power grid, and comprises an energy storage station and a charging pile cluster, which is used for storing, charging and discharging electric energy and charging electric vehicles. The heat recovery device is connected with the cooling liquid circulation device, the energy storage and charging station module and the cooling system of the power conversion device, and is used for recovering waste heat carried by the cooling liquid in the cooling system. The cooling liquid circulation device is connected with the energy storage and charging station module and the cooling system of the power conversion device, and forms a cooling liquid circulation system.

[0007] In the technical solution, through the collaborative design of the photovoltaic power generation module, the power conversion device, the energy storage-charging station module, the heat energy recovery device and the cooling liquid circulation device, an integrated energy circulation system of "power generation-energy storage-charging-discharging-heat recovery" is constructed, efficient production, cascade utilization and heat recovery of clean energy are realized, energy waste is reduced, dependence on traditional power grid is reduced, and system energy comprehensive utilization efficiency is improved.

[0008] Further, the energy storage-charging station module is also provided with a battery swap station, and the charging pile cluster and the battery swap station are connected with the energy storage station. The setting of the battery swap station not only expands the capacity of the energy storage station and improves the energy storage capacity of the system, but also meets the needs of different battery swap vehicles, enhances the applicability and flexibility of the system, and increases the profit points of the system through the turnover of the vehicle fast battery.

[0009] Further, the power conversion device is a bidirectional inverter module, which is connected with the photovoltaic power generation module, the power grid, the energy storage-charging station module and the power utilization system to realize conversion and transmission of electric energy. The bidirectional inverter module can realize bidirectional conversion of AC and DC electric energy, ensure efficient transmission and reasonable distribution of electric energy among the photovoltaic power generation module, the power grid, the energy storage-charging station module and the power utilization system, and improve the power conversion efficiency of the system and the flexibility of energy scheduling.

[0010] Further, the heat energy recovery device is connected with the heat storage water tank through a heat pump, the photovoltaic power generation module is connected with the heat pump heat recovery, the heat storage water tank is connected with the water utilization system, and the heat energy recovery device is a double-channel plate heat exchanger. As the heat energy recovery device, the double-channel plate heat exchanger can efficiently recover waste heat of the cooling system; the heat pump can secondarily raise the temperature of the recovered low-grade waste heat, improving the utilization value of the waste heat; the heat storage water tank stores the heated water and supplies it to the water utilization system, realizing cascade utilization of waste heat and further improving energy utilization efficiency and reducing energy cost.

[0011] Further, the system further comprises a wind power generation module connected with the power conversion device, the wind power generation module is used for converting wind energy into electric energy, and the cooling liquid circulation device is provided with a wind cooling system. The introduction of the wind power generation module broadens the input channel of clean energy and improves the stability of system energy supply and the proportion of renewable energy; the wind cooling system added to the cooling liquid circulation device forms a "liquid cooling + wind cooling" double-mode heat dissipation, enhances the heat dissipation reliability of the system in extreme working conditions, and ensures long-term stable operation of the equipment.

[0012] According to the second aspect of the present application, an energy circulation system based on light storage and heat charging cooperation is applied to a gas station. The application of the system to the gas station can provide clean electricity and heat energy for the gas station, meet the electricity and water demand of the gas station, reduce the dependence of the gas station on traditional energy, reduce the operating cost, reduce pollutant emissions, meet environmental protection requirements, and improve the energy comprehensive utilization level and economic benefit of the gas station.

[0013] According to the third aspect of the present application, a control device of an energy circulation system based on light storage and heat charging cooperation is provided. The control device comprises a data acquisition module, an intelligent dynamic scheduling module, and a bidirectional inverter module intelligent control system. The data acquisition module is configured to acquire operation data of an energy input end, an energy distribution end, an energy output end, and a waste heat recovery end, and input the operation data to the intelligent dynamic scheduling module. The bidirectional inverter module intelligent control system is configured to receive real-time operation data of the energy distribution end and feed back the real-time operation data to the intelligent dynamic scheduling module, and execute power distribution instructions issued by the intelligent dynamic scheduling module. The data acquisition module is configured to acquire operation data of an energy input end, an energy distribution end, an energy output end, and a waste heat recovery end, and input the operation data to the intelligent dynamic scheduling module. The bidirectional inverter module intelligent control system is configured to receive real-time operation data of the energy distribution end and feed back the real-time operation data to the intelligent dynamic scheduling module, and execute power distribution instructions issued by the intelligent dynamic scheduling module. The intelligent dynamic scheduling module is configured to receive full-dimensional data from the data acquisition module, and in combination with feedback information from the bidirectional inverter module intelligent control system, control the cooperation of photovoltaic power generation, electric energy storage, electric vehicle charging, and waste heat utilization, and realize intelligent regulation and control of the energy distribution end by using the bidirectional inverter module intelligent control system.

[0014] In the above scheme, through the cooperation of the data acquisition module, the intelligent dynamic scheduling module, and the bidirectional inverter module intelligent control system, real-time monitoring, intelligent decision-making, and precise regulation and control of the energy circulation system are realized, the system response speed and automation level are improved, the efficient cooperation of the full link of "power generation, power storage, charging and discharging, and waste heat utilization" is ensured, and the energy distribution efficiency is optimized.

[0015] Further, the energy input end is used to acquire photovoltaic power generation, wind power generation, national grid power supply, and local weather data; the energy distribution end is used to acquire power distribution data between the energy storage station, the battery swap station, the power consumption system of the gas station, and the national grid; the energy output end is used to acquire the power consumption of the charging pile cluster, the battery swap station, and the power consumption system of the gas station, and the heat output of the water consumption system, and real-time monitor the terminal energy consumption load; the waste heat recovery end is used to acquire waste heat data of the photovoltaic power generation module, the bidirectional inverter module, the energy storage station, the charging pile cluster, and the battery swap station. The data acquisition module further comprises statistical data of a gas station sales platform, and the statistical data of the gas station sales platform includes fueling amount, charging amount, site power consumption, hot water consumption, and online booking information. The control device further comprises a gas station revenue system connected with the energy output end.

[0016] In the above technical solution, through the integration of multi-dimensional data collection (energy input, distribution, output, waste heat and operation data) and the gas station comprehensive management system, the deep linkage of energy scheduling and business operation is realized, which not only guarantees the efficient use of energy, but also provides precise operation data support (such as revenue statistics, demand prediction) for gas stations, and improves the economic efficiency and management refinement level of the system.

[0017] Further, the intelligent dynamic scheduling module is provided with a photovoltaic power generation potential and charging demand prediction algorithm, which includes: S1, based on the daily average power generation prediction and meteorological correlation power generation coefficient of the historical power generation data of photovoltaic, budget the total power generation of photovoltaic power generation module at a specific time scale; based on historical power consumption, historical reservation charging data and future reservation charging data at a specific time scale, calculate the total power consumption demand at a specific time scale; S2, judge the total power generation and total power consumption demand value, respond to the total power generation greater than or equal to the total power consumption demand, use the bidirectional inverter module intelligent control system to execute the power surplus scene strategy, respond to the total power generation less than the total power consumption demand, use the bidirectional inverter module intelligent control system to execute the power shortage scene scheduling strategy.

[0018] In the above technical solution, through the photovoltaic power generation potential and charging demand prediction algorithm, the accurate prediction of power generation and power consumption demand within a specific time scale is realized, and based on the prediction result, the differentiated scheduling strategy (surplus / deficiency scene) is executed, which improves the forward-looking and rationality of the system energy scheduling, reduces the energy waste caused by supply-demand mismatch, and guarantees the stability of power supply.

[0019] Further, the power surplus scene strategy is to maintain the SOC of the energy storage station in the interval of 40%-50%, and start the excess electricity grid connection process; the power shortage scene scheduling strategy is to maintain the SOC of the energy storage station in the interval of 60%-70%, and start the excess electricity grid connection process as needed.

[0020] In the above technical solution, by setting different intervals of the SOC of the energy storage station (surplus scene 40%-50%, deficiency scene 60%-70%), combined with the excess electricity grid connection strategy, the efficient use of excess electricity (such as grid connection income) and grid cooperation are realized while guaranteeing the energy storage redundancy of the system, balancing the stability and economy of the system, and improving the comprehensive benefits of energy utilization.

[0021] Further, the total power consumption demand is calculated by the product of the daily average power consumption demand at a specific time scale and the historical reservation ratio, and the historical reservation ratio is the ratio of the future daily average reservation charging amount at a specific time scale to the historical daily average reservation charging amount at a specific time scale.

[0022] In the technical solution, the future reservation charging amount is associated with historical data by correcting the total power demand calculation with the historical reservation proportion, the accuracy of power demand prediction is improved, the scheduling deviation caused by reservation fluctuation is avoided, the adaptation ability of the system to dynamic demand is ensured, and the precision of energy distribution is optimized.

[0023] Furthermore, the intelligent dynamic scheduling module adjusts the storage state of the energy storage station and the battery swap station through the hierarchical storage and dynamic balancing mechanism according to the real-time load rate of the charging pile cluster and the real-time dynamic scheduling strategy.

[0024] In the technical solution, the real-time load rate of the charging pile cluster and the hierarchical storage and dynamic balancing mechanism are used to accurately adjust the storage state of the standby battery of the energy storage station and the battery swap station, ensure the reasonable distribution of energy storage resources during the "charging peak-valley" period, avoid overcharging / undercharging problems, prolong the service life of the energy storage equipment, and improve the energy storage efficiency and stability of the system.

[0025] Furthermore, when the charging pile cluster is in a working state, the power input of the photovoltaic power generation module is preferentially distributed to the charging pile cluster through the bidirectional inverter module to implement the real-time dynamic scheduling strategy, wherein the real-time dynamic scheduling strategy includes: In response to the SOC of the energy storage station and the battery swap station being lower than the first threshold value and the power generation input power being less than the energy output power, time-selective grid supplement is started until the SOC of the energy storage station rises to the set threshold value, and the grid supplement is stopped; In response to the SOC of the energy storage station being higher than the second threshold value, the standby battery of the battery swap station is simultaneously charged, and in response to the SOC of the energy storage station and the battery swap station being higher than the third threshold value, surplus power is fed into the grid.

[0026] In the technical solution, the strategy of preferentially ensuring power supply of the charging pile cluster is combined with SOC threshold linkage control (grid supplement, battery swap station cooperative storage, and surplus power feeding into the grid) to realize accurate energy distribution during the charging demand peak period, ensure the charging service quality, reduce the operating cost through time-selective grid supplement and surplus power feeding into the grid, and improve the energy efficiency and economy of the system under dynamic load.

[0027] Compared with the prior art, the beneficial results of the present application are as follows: (1) The present application forms an integrated cycle of "electricity production-storage-charging and battery swapping-heat recovery-heat utilization" through deep coupling of photovoltaic power generation, energy storage-charging, and heat recovery modules, breaks the barrier between different energy forms, realizes energy cascade utilization, and solves the problems of energy waste and supply-demand mismatch in traditional systems.

[0028] (2) The application relies on an intelligent dynamic scheduling module, combines multi-dimensional data prediction and analysis, dynamically adjusts the operation strategy to adapt to power generation fluctuations and energy demand. The collaborative mode of energy storage and battery replacement enhances system flexibility, meets diversified energy demand, expands profit space, and improves overall economic efficiency.

[0029] (3) The application is modularly designed, integrates multiple energy input and output forms, and can flexibly adapt to scenarios such as gas stations and highway service areas. Through full-dimensional data collection and collaborative control, the system can expand modules or adjust functions according to actual needs, reduce application barriers, and provide a feasible solution for the widespread promotion of distributed energy systems. BRIEF DESCRIPTION OF DRAWINGS

[0030] The accompanying drawings are included to provide a further understanding of embodiments and are incorporated in and constitute a part of this specification. The drawings illustrate embodiments and serve to explain principles of the present application. Many of the anticipated advantages of embodiments and other embodiments will be readily appreciated as the same become better understood by reference to the following detailed description. The elements of the drawings are not necessarily to scale relative to each other. Like reference numerals designate corresponding similar parts.

[0031] Figure 1 is an energy circulation system architecture diagram based on light storage charging and heat cooperation according to an embodiment of the application; Figure 2 is a system architecture diagram of an energy circulation system based on light storage charging and heat cooperation applied to a gas station according to an embodiment of the application; Figure 3 is a control device schematic diagram of an energy circulation system based on light storage charging and heat cooperation according to an embodiment of the application; Figure 4 is a photovoltaic power generation potential and charging demand prediction algorithm flowchart of an intelligent dynamic scheduling module according to an embodiment of the application; Meaning of each number in the figure: 101-photovoltaic power generation module, 102-wind power generation module, 103-power conversion device, 104-power grid, 105-energy storage and charging station module, 1051-energy storage station, 1052-charging pile cluster, 106-electricity consumption system, 201-heat recovery device, 202-heat pump, 203-thermal storage water tank, 204-water consumption system, 301-cooling liquid circulation cabinet. DETAILED DESCRIPTION

[0032] In order to make the objects, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0033] Reference Figure 1 , Figure 1 The energy circulation system architecture based on the light storage charging heat cooperation of the present application is shown. As shown in the figure, the energy circulation system based on the light storage charging heat cooperation includes a photovoltaic power generation module 101, a wind power generation module 102, a power conversion device 103, an energy storage-charging station module 105, a heat energy recovery device 201, a cooling liquid circulating device 301 and a heat storage water tank 203. The photovoltaic power generation module 101 is used to convert solar energy into electric energy, and the radiant heat thereof also provides heat for the heat pump 202. The wind power generation module 102 is used to convert wind energy into electric energy. The power conversion device 103 is connected with the photovoltaic power generation module 101, the wind power generation module 102, the energy storage-charging station module 105, a power grid 104 and an electricity consumption system 106, so as to realize bidirectional conversion and transmission of electric energy. The energy storage-charging station module 105 is connected with the power grid 104, and includes an energy storage station 1051, a charging pile cluster 1052 and a battery swap station. The battery swap station is combined with the energy storage station 1051 to form an energy storage dual mode, and the energy storage capacity can be expanded by using the turnover of vehicle fast-charged batteries, so as to be used for storage, charging and discharging of electric energy and charging and swapping of electric vehicles. The electricity consumption system 106 is connected to an output end of the energy storage-charging station module 105 and the power conversion device 103, and is used for a power consumption unit of an illumination system and other auxiliary facilities. The electricity consumption system 106 is configured with an independent intelligent electric meter and a load management module, so as to realize dynamic power distribution. The heat energy recovery device 201 is connected with a cooling system of the charging pile cluster 1052, the energy storage station 1051 and the battery swap station, and is used for recovering waste heat generated by the cooling liquid of the cooling system. The heat energy recovery device 201 is connected with the heat storage water tank 203 through the heat pump 202, and the heat pump 202 further heats the recovered waste heat. The heat storage water tank 203 is connected with the heat pump 202 and a water consumption system 204, and is used for storing heated water. The cooling liquid circulating device 301 is connected with the cooling system of the charging pile cluster 1052, the energy storage station 1051 and the power conversion device 103, so as to form a cooling liquid circulating system.

[0034] Specifically, the power circulation system (black arrow line) is: forming an energy cascade utilization closed loop of “photovoltaic power generation module 101→power conversion device 103→energy storage station 1051→charging pile cluster 1052→electric vehicle charging”. The power conversion device 103 and the energy storage-charging station module 105 form a power circulation with the power grid 104, so as to realize grid-connected consumption and peak-valley regulation of distributed energy.

[0035] Specifically, in Figure 1 In the figure, the red arrow line of the heat circulation system specifically indicates the transfer path of the photovoltaic panel back radiation heat generated by the photovoltaic power generation module to the heat pump, which, together with the primary (purple arrow line) and secondary (green arrow line) heat circulation, constitutes a complete waste heat recycling system. The heat circulation system (purple, green and red arrow lines) includes the primary heat circulation (purple arrow line) and the secondary heat circulation (green arrow line) and the photovoltaic radiation heat transfer path (red arrow line). Among them, the primary heat circulation is the high-temperature cooling liquid generated by the charging pile cluster 1052, the energy storage station 1051 and the power conversion device 103 transported to the heat energy recovery device 201 for heat exchange; the secondary heat circulation includes the low-grade heat energy recovered by the heat energy recovery device 201 being lifted to more than 70℃ by the heat pump 202 and being transported to the heat storage water tank 203 for storage, and finally realizing the functions of heating, hot water supply, pipeline anti-freezing and the like through the water system 204, forming a complete waste heat recycling system. At the same time, the photovoltaic panel back radiation heat generated by the photovoltaic power generation module is also transferred to the heat pump (red arrow line), and participates in the subsequent heat lifting and utilization process together with the heat recovered by the primary heat circulation, further enriching the heat source of the heat circulation system and improving the efficiency and potential of waste heat recovery.

[0036] In some specific embodiments, reference is made to Figure 2 , Figure 2 The system architecture diagram of the energy circulation system based on light storage and charging heat cooperation applied to a gas station according to an embodiment of the present application is shown in FIG. 6. As shown in FIG. 6, the system architecture diagram of the energy circulation system based on light storage and charging heat cooperation applied to a gas station according to an embodiment of the present application includes a photovoltaic power generation module 601, a heat energy recovery device 602, a heat pump 603, a heat storage water tank 604, a water system 605, a charging pile cluster 606, an energy storage station 607, a power conversion device 608, a power grid 609 and a building 610. Figure 2As shown, the photovoltaic power generation module converts light energy into electrical energy under sunlight irradiation, and the photovoltaic panel back radiation heat of the photovoltaic power generation module also provides heat for the heat pump. The wind energy drives the wind power generation module to generate electricity, and the electrical energy of the two is connected to the bidirectional inverter module. After being processed by the bidirectional inverter module, the electrical energy is preferentially supplied to the power supply system of the gas station in the form of conventional alternating current 220V, and the remaining electrical energy is connected to the energy storage station and the battery swap station. The bidirectional inverter module is also connected to the power grid to realize surplus electricity feeding into the grid. The energy storage station and the battery swap station receive electrical energy for storage, supply power to the charging pile cluster, also supply power to the power supply system of the gas station, and form a two-way intelligent supply and surplus electricity feeding into the grid with the power grid. The charging pile cluster receives electrical energy for charging electric vehicles. The high-temperature cooling liquid generated by the charging pile cluster, the energy storage station and the battery swap station, and the bidirectional inverter module is recycled through the double-channel plate heat exchanger, and is returned to the charging pile cluster, the energy storage station and the battery swap station, and the bidirectional inverter module to form a cooling liquid circulation through the cooling liquid circulating cabinet. The double-channel plate heat exchanger recycles the high-temperature / medium-temperature cooling liquid from the charging pile cluster, the energy storage station and the battery swap station, and the bidirectional inverter module, and the heat is transmitted to the heat pump. The heat pump receives heat and takes water from the water tower, and outputs high-temperature hot water to the heat storage water tank. The heat storage water tank stores high-temperature hot water and supplies hot water to the water system of the gas station. The water tower receives tap water and underground water and supplies water to the heat pump. Among them, the electric power circulation system (black arrow) is: forming an energy cascade utilization closed loop of "photovoltaic power generation→bidirectional inverter module→energy storage station+battery swap station→charging pile cluster→electric vehicle charging", and the bidirectional inverter module, the energy storage station+battery swap station and the power grid form an electric power circulation to realize distributed energy grid connection and peak-valley regulation. The heat circulation system (purple, green and red arrow lines) includes a primary heat circulation (purple arrow line) and a secondary heat circulation (green arrow line). Among them, the primary heat circulation is that the high-temperature cooling liquid generated by the charging pile cluster, the energy storage station and the battery swap station, and the electric power conversion device 103 is transported to the heat energy recovery device 201, and heat exchange is performed; the secondary heat circulation includes that the bidirectional inverter module raises the recycled low-grade heat energy of 35-70°C to more than 70°C through the heat pump, and transports it to the heat storage water tank for storage, and finally realizes heating, hot water supply, pipeline anti-freezing and other functions through the water system of the gas station, forming a complete waste heat recycling system. At the same time, the photovoltaic panel back radiation heat generated by the photovoltaic power generation module is also transmitted to the heat pump (red arrow line), and participates in the subsequent heat raising and utilization process together with the heat recycled by the primary heat circulation, further enriching the heat source of the heat circulation system and improving the efficiency and potential of waste heat recovery.

[0037] Based on Figure 2 Based on the energy circulation system architecture based on light storage and heat cooperation of the present application, a control device of the energy circulation system based on light storage and heat cooperation is provided, as shown in Figure 3 The device includes a data acquisition module, a bidirectional inverter module intelligent control system and an intelligent dynamic scheduling module, wherein, The data collection module is configured to collect statistical data of the energy input end, the energy distribution end, the energy output end, the waste heat recovery end and the gas station sales platform.

[0038] The energy input end collects photovoltaic power generation, wind power generation, national grid power supply and local weather data, which are used to support system energy input analysis, covering regular power supply and extreme weather energy supplement scenarios; the energy distribution end collects power distribution data between the energy storage station, the battery swap station, the gas station power system and the national grid, reflecting the energy allocation state; the energy output end collects the power consumption of the charging pile, the battery swap station and the gas station power system, as well as the heat output of the water system, which monitors the terminal energy consumption load and the terminal energy consumption in real time; the waste heat recovery end collects waste heat related data of photovoltaic power generation, bidirectional inverter module, energy storage station, charging pile and battery swap station, which provides basis for waste heat utilization; the gas station sales platform statistical data includes refueling amount, charging amount, site power consumption, hot water consumption and online booking information, which are used for operation analysis.

[0039] The heat output of the water system includes the hot water energy consumption of the service area and the living area, which is calculated by the formula , wherein represents heat, represents the specific heat capacity of water, represents the mass of hot water, represents the temperature of hot water, represents the temperature of normal temperature water, and the heat is converted into corresponding electric energy unit according to the energy conversion relationship, i.e. The daily total hot water consumption is collected by the intelligent metering water meter with data remote function deployed in the heat storage water tank to the water system pipeline, which is converted by the above formula and included in the energy output end.

[0040] The bidirectional inverter module intelligent control system is configured to receive real-time running data of the energy distribution end and feedback to the intelligent dynamic scheduling module, and execute the power distribution instructions issued by the intelligent dynamic scheduling module; specifically including: data interaction, uploading the power interaction state (voltage, current, power, etc.) between the energy storage station, the battery swap station, the gas station power system and the national grid, providing real-time feedback for scheduling decision; instruction execution, accurately controlling the energy storage charging and discharging switching, the battery swap station power supply, the gas station power system power supply mode (such as photovoltaic direct supply / energy storage power supply / grid energy supplement), and guaranteeing the landing of energy distribution strategy.

[0041] The intelligent dynamic scheduling module is configured to receive full-dimensional data of the acquisition module, combines feedback information of the bidirectional inverter module intelligent control system, and realizes intelligent regulation and control of the energy distribution end through the bidirectional inverter module intelligent control system; at the same time, the intelligent dynamic scheduling module integrates fault / early warning processing logic to identify, respond to and dispose system operation abnormalities. Among them, the energy scheduling function is based on real-time energy data (such as photovoltaic / wind power output, power grid peak-valley price), dynamically optimizes the charging and discharging strategy of the energy storage station, the power distribution of the battery swap station, and the power supply priority of the gas station power supply system, achieves peak load shifting and energy efficiency optimization; the fault / early warning processing function realizes real-time monitoring of abnormal fluctuations of the collected data (such as photovoltaic power sudden drop, energy storage station over-temperature, charging pile overload, etc.), identifies fault types (hardware fault, energy efficiency anomaly, communication interruption, etc.) through preset threshold and algorithm model; triggers hierarchical early warning (early warning / fault level), automatically links the fault / early warning processing module to execute response (such as adjusting energy distribution to avoid fault points, pushing alarm information to the operation and maintenance end, starting the standby energy link, etc.); records the disposal process and data of the fault / early warning event for post-event analysis and system optimization.

[0042] In some specific embodiments, the control device further comprises a gas station revenue system, which is connected in real time with the energy output end for data interaction. The gas station revenue system collects data such as the charging capacity of the charging pile of the energy output end, the battery swap capacity of the battery swap station, and the heat supply of the hot water tank to the water supply system, and combines the preset charging unit price, battery swap fee and hot water service pricing model to automatically generate real-time revenue statistics (such as single-pile revenue, time period revenue, hot service revenue, etc.).

[0043] In some specific embodiments, since the energy consumption proportion of the power supply system and the water supply system is extremely low, in the prediction model of photovoltaic power generation capacity and power demand, the core calculation object focuses on the power load of the charging pile cluster and the battery swap station. The related prediction algorithm refers to Figure 4 , Figure 4 A flow chart of a photovoltaic power generation potential and charging demand prediction algorithm of an intelligent dynamic scheduling module according to an embodiment of the present application is shown, as shown in the figure: Step 401, calculate the predicted photovoltaic power generation capacity R1 of a specific time scale. Based on the photovoltaic historical data and weather correlation correction, perform photovoltaic power generation capacity prediction for the next 7 days. Use the photovoltaic historical power generation capacity of the previous 7 days to calculate the daily average power generation average value X, unit kWh. Through weather correlation correction, according to the weather forecast type (sunny / cloudy / overcast), match the corresponding weather correlation power generation coefficient (sunny coefficient 1.6, cloudy coefficient 1.0, overcast coefficient 0.3), combine the initial design value of the equipment, and dynamically correct the coefficient (update frequency: weekly) through the comparison between the actual power generation capacity and the average value of the same type of weather in the past 3 days, then the future weekly average power generation prediction = average value X x weather correlation power generation coefficient, and the total power generation capacity prediction R1 of the next 7 days = 7 x future weekly average power generation prediction.

[0044] Step 402, calculate the predicted electricity demand R2 of a certain time scale. Fuse historical electricity and reservation data to perform a 7-day electricity demand prediction. Collect the average value M of the total daily electricity consumption of the previous 7 days, unit kWh; and the average value N of the daily online reservation charging amount of the previous 7 days, unit kWh; Collect the average value G of the online reservation charging amount of the future 7 days, unit kWh; Then: the average daily electricity demand of the future week = average value M × G / N Correct the short-term demand through the historical reservation proportion, and the total electricity consumption prediction R2 of the future 7 days = 7 × the average daily electricity demand of the future week Step 403, compare the numerical relationship of R1 and R2, judge R1≥R2, execute step 404, judge "no" and execute step 405.

[0045] Step 404, power generation surplus scenario scheduling strategy. Use the bidirectional inverter module intelligent control system to keep the overall power storage amount in the interval of 40-50%, start the surplus power on the network, and the priority order of clean energy power distribution is charging pile-battery swap station-energy storage station, which prioritizes terminal charging demand.

[0046] Step 405, power generation insufficient scenario scheduling strategy. Use the bidirectional inverter module intelligent control system to keep the overall power storage amount in the interval of 60-70%, start the surplus power on the network as needed, and the priority order of clean energy power distribution is charging pile-battery swap station-energy storage station.

[0047] Specifically, steps 404 and 405 use a dynamic balance and correction mechanism, i.e. a date-by-date deduction mode is used to maintain dynamic balance, i.e. R1≈R2, and the power storage and prediction demand algorithm is triggered every 3 days on average to compare and adjust the energy storage scheme according to the deviation. When in steady state, maintain the overall power storage amount at 50%-60%; below 50%, actively trigger demand detection, i.e. through the bidirectional inverter module intelligent control system, increase the overall power storage amount, and above 70%, actively trigger the surplus power on the network to ensure system resilience and optimal energy efficiency. Among them, the bidirectional inverter module intelligent control system includes a bidirectional inverter body and a central control unit, the central control unit carries a programmable logic controller (PLC) as the core algorithm carrier of the bidirectional inverter module intelligent control system, responsible for analyzing the instructions of the intelligent dynamic scheduling module (such as charging and discharging power, grid interaction strategy), and generating pulse width modulation (PWM) signals to drive the bidirectional inverter body to work.

[0048] In some specific embodiments, a multi-objective optimization algorithm and a dynamic scheduling algorithm can also be used to match the photovoltaic power generation curve, charging demand and heat load to dynamically adjust the energy storage charging and discharging strategy.

[0049] Specifically, the multi-objective optimization algorithm is based on an LSTM neural network model to predict photovoltaic power generation and charging demand, including the following steps: Step one, collect historical photovoltaic power generation data, meteorological parameter data, historical charging demand data and expected daily electricity consumption information as input parameters of the LSTM neural network model, wherein the meteorological parameter data includes the meteorological correlation power generation coefficient of the target area and the corresponding photovoltaic power generation base; Step two, based on the input parameters of the preprocessed historical photovoltaic power generation data, historical charging demand data, expected daily electricity consumption information and meteorological parameter data, the LSTM neural network model is used to predict the photovoltaic power generation output curve and the charging demand probability distribution curve of a specific time scale in the future; Step three, based on the photovoltaic power generation output curve and the charging demand probability distribution curve, the total photovoltaic power generation and the total charging demand of a specific time scale in the future are calculated.

[0050] Specifically, the dynamic scheduling algorithm dynamically adjusts the charge-discharge SOC threshold of the energy storage-charging station module through the prediction deviation of the LSTM neural network model; in response to the prediction deviation of the LSTM neural network model being greater than the deviation threshold, the power grid emergency energy compensation reward function is started:

[0051] In the formula, represents the comprehensive benefit evaluation value of the power grid emergency energy compensation (the larger the value, the better the energy compensation strategy), represents the economic benefit, which is quantified as the difference between the power grid energy compensation cost and the surplus electricity grid connection benefit (i.e. = surplus electricity grid connection benefit - power grid energy compensation cost), represents the carbon emission reduction, which is quantified as the carbon emission reduction amount replaced by traditional power grid power supply (i.e. = power grid energy compensation amount × regional power grid carbon emission factor × carbon price), wherein the carbon emission factor is based on the annual average data of the regional power grid, represents the equipment loss cost (negative value), which is quantified as the loss of emergency energy compensation to the cycle life of the energy storage battery (i.e. = compensation depth × unit cycle loss cost), which is calculated based on the battery cycle number decay curve.

[0052] Among them, taking the photovoltaic power generation and electricity demand prediction values output by the LSTM neural network model as the basis, the prediction deviation of the photovoltaic power generation and the prediction deviation of the electricity demand are calculated respectively, based on the weight factors and , the actual situation is taken as the value, such as 0.6 and 0.4, the comprehensive prediction deviation , is calculated, and the comprehensive prediction deviation The charging and discharging SOC (State of Charge) threshold of the energy storage-charging station module is adjusted in real time: (high-precision range), maintain the original SOC threshold (such as 40%-50% in power generation surplus scenario and 60%-70% in power generation deficit scenario); when When the deviation is medium, the threshold is dynamically shifted (for example, the lower limit is increased by 2%-3% in surplus scenarios and the upper limit is reduced by 2%-3% in deficit scenarios), enhancing the system's buffering capacity. (low-precision range), start the SOC threshold expansion mode (such as widening to 38%-48% in surplus scenarios and 58%-72% in shortage scenarios), and increase the data collection frequency to reduce the impact of prediction fluctuations on the scheduling strategy.

[0053] In some specific embodiments, the intelligent dynamic scheduling module also includes equipment health monitoring using digital twins to perform fault self-diagnosis, such as photovoltaic dust accumulation warning and heat pump energy efficiency degradation alarm.

[0054] In some specific embodiments, the energy (power) allocation strategy of the intelligent dynamic scheduling module prioritizes clean energy input to the charging pile cluster via a bidirectional inverter module when the charging pile cluster is in use. When the charging pile cluster is not in use, precise control is achieved through a hierarchical power storage and dynamic balancing mechanism. Based on the power status of the energy storage station and the battery swap station, the energy storage station is prioritized to meet the voltage boost requirements of the charging piles. When the energy storage station reaches a second threshold of 30%, the battery swap station backup battery charging process is simultaneously initiated. If the power levels of both the energy storage station and the battery swap station backup batteries reach a third threshold of 90%, the surplus power is triggered to the grid. In the dynamic optimization dimension, when the power levels of the backup batteries of the energy storage station and the battery swap station exceed 50% and the power input power exceeds the energy output power, the surplus power is connected to the grid. If the power levels of both the energy storage station and the battery swap station are below the first threshold of 15% and the power input power is insufficient to meet the energy output power, timed grid replenishment is initiated and stopped when the power level rises above the set threshold of 25%. Through multi-state linkage and threshold determination, intelligent adaptation and efficient utilization of energy flows are achieved.

[0055] In some specific embodiments, the intelligent dynamic scheduling module's heat allocation strategy is based on thermodynamic priority control theory. By matching temperature gradients with energy demand in real time, it achieves tiered utilization and efficient distribution of thermal energy. The system categorizes heat users into three levels of priority: Level 1 (heating system) prioritizes high-temperature heat sources, including but not limited to floor heating and indoor heating.

[0056] The second-level priority (hot water system) meets the demand for medium-temperature hot water, including: kitchen steaming equipment and regular domestic water; the third-level priority (backup system) reserves emergency thermal energy reserves.

[0057] In some specific embodiments, when the heat pump fails, a multi-stage heat dissipation redundancy mechanism is triggered: the cooling liquid circulation cabinet automatically switches to air cooling mode, the air convection heat exchange is strengthened by the axial flow fan group, and the cooling liquid outlet temperature is controlled within the safety threshold; at the same time, the bidirectional inverter module, the energy storage station, the battery swap station and the charging pile cluster synchronously activate the redundant heat dissipation device, through the coordinated operation of the distributed heat dissipation unit and the centralized air cooling system, the working temperature of each device core component (IGBT module, battery cluster, charging module) is controllable, and the basic operation function of the light storage and charging heat cooperation energy circulation system is maintained until the fault is eliminated.

[0058] Embodiments Taking a second-class highway service area (two-way six-lane, accounting for 30% nationwide) as an application scenario, the land standard is 17000m2, and the building area is in the range of 5500-6500m2. It contains a gas station of 800m2, a (rest area parking shed) charging station with a total land area of 2000m2 (service capacity of 24 vehicles / 1000m2), 2 battery swap stations with a total area of 200m2 (service capacity of 300 vehicles / 60m2), and a service area building area of 5000m2. In terms of operation data, daily refueling vehicles are valued at 6500; daily passenger flow is 2000-3000 people, and the water consumption per person is 25-34 liters / person, with a total of about 100m3 of domestic water. The total daily water consumption of the station (including site flushing, car washing, and vehicle water filling) is 200m3. In terms of energy demand, daily electricity consumption is 2500-3500kWh (total electricity consumption of the site and the service area, valued at 3000kWh); daily charging capacity is 1500-2500kWh (charging pile part, valued at 2000kWh, expected to serve 40 vehicles / day); daily battery swap capacity is 3000-4500kWh (battery swap station part, valued at 4000kWh, expected to serve 80 vehicles / day). The photovoltaic panel laying area is 500m2 on the roof of the gas station building, 1500m2 on the (parking shed) charging station, and 5000m2 on the top floor of the service area, totaling 7000m2. The daily power generation of photovoltaic panels is: ideal conditions 3-4kWh / m2, general light 1-2.5kWh / m2, and poor conditions 0.5kWh / m2. Based on the average light of 1.5kWh / m2, the total daily power generation of photovoltaic panels under general light is 1.5kWh / m2 x 7000m2 = 10500kWh. The total daily electricity consumption of the service area is 3000kWh of daily electricity consumption + 2000kWh of daily charging + 3500kWh of daily battery swap = 8500kWh (national grid recovery price is about 0.45 yuan / kWh, electricity price is 0.6 yuan / kWh, and charging and battery swap price is 1 yuan / kWh), and the total daily electricity consumption cost is 8500kWh x 0.6 yuan / kWh = 5100 yuan, and the annual total electricity consumption cost is 365 x 5100 yuan = 1861500 yuan.

[0059] Scheme 1: Power supply by power grid Daily total electricity consumption of daily service area = daily electricity consumption 3000 kWh + daily charging capacity 2000 kWh + daily battery swap capacity 3500 kWh = 8500 kWh, annual total electricity cost = annual total electricity cost = 365 x 5100 yuan = 1861500 yuan. Charging pile (AC) efficiency 80%-85%, DC pile (DC) efficiency 90%-95%, battery swap station efficiency 90%-95%, average utilization efficiency value 90%. Daily charging and battery swap capacity revenue = (daily charging capacity 2000 kWh + daily battery swap capacity 3500 kWh) x 90% x charging and battery swap unit price 1 yuan / kWh = 4950 yuan, annual charging and battery swap capacity revenue = daily charging and battery swap capacity revenue x 365 = 4950 x 365 = 1806750 yuan, annual electricity sales revenue = annual charging and battery swap capacity revenue - annual total electricity cost = 1806750-1861500 = -57750 yuan.

[0060] Scheme 2: Power supply by photovoltaic power generation on grid, pure power grid power supply Annual total electricity cost = annual total electricity cost = 365 x 5100 yuan = 1861500 yuan. Annual photovoltaic profit part = general light photovoltaic daily total power generation x 0.45 yuan / kWh x 365 = 1.5 degrees / m² x photovoltaic panel laying area 7000 m² x 0.45 yuan / kWh x 365 = 1724625 yuan. Daily charging / battery swap capacity revenue = (daily charging capacity 2000 kWh + daily battery swap capacity 3500 kWh) x 90% x charging and battery swap unit price 1 yuan / kWh = 4950 yuan, annual charging / battery swap capacity revenue = daily charging and battery swap capacity revenue x 365 = 4950 x 365 = 1806750 yuan. Total station power profit = annual photovoltaic profit part + annual charging and battery swap capacity revenue = 1724625 + 1806750 = 3531375 yuan, annual electricity sales revenue = total station power profit - annual total electricity cost = 3531375-1861500 = 1669875 yuan.

[0061] Scheme 3: Energy recycling system based on light storage charging and heat cooperation General light photovoltaic daily total power generation = 1.5 kWh / m² x photovoltaic panel laying area 7000 m² = 10500 kWh, daily total electricity consumption of daily service area = daily electricity consumption 3000 kWh + daily charging capacity 2000 kWh + daily battery swap capacity 3500 kWh = 8500 kWh. General light photovoltaic daily total power generation is used for sales according to 80%, 10% for station life electricity, and 10% for heat consumption. Annual electricity sales revenue = general light photovoltaic daily total power generation x 80% x charging and battery swap unit price 1 yuan / kWh x 365 = 3066300 yuan, clean energy power surplus sold to grid part is equal to power not enough to supplement from grid, which can be ignored.

[0062] In summary, the annual electric power sales revenue of scheme 3 - the annual electric power sales revenue of scheme 2 = 3066300 - 1669875 = 1396425 yuan, about 1.4 million. That is, scheme 3 will be more profitable than scheme 2 about 1.4 million per year.

[0063] Although the principles of the present application have been described in detail above with reference to the preferred embodiments thereof, it is to be understood that the embodiments described above are merely illustrative of the present application and are not intended to limit the scope of the present application. The details in the embodiments are not construed as limiting the scope of the present application. Any obvious changes, simple replacements, etc. based on the technical solutions of the present application, without departing from the spirit and scope of the present application, all fall within the protection scope of the present application.

Claims

1. An energy cycle system based on the synergy of solar energy storage and heat charging, characterized in that: The system includes: a photovoltaic power generation module, a power conversion device, an energy storage-charging station module, a heat recovery device and a coolant circulation device, wherein: The photovoltaic power generation module is used to convert solar energy into electrical energy; The power conversion device, through which the photovoltaic power generation module is connected to the energy storage-charging station module, the power grid, and the power consumption system, respectively, to achieve conversion and transmission of electric energy; The energy storage-charging station module is connected to the power grid and includes an energy storage station and a charging pile cluster for storing, charging and discharging electric energy and charging electric vehicles; The heat recovery device is connected to the cooling system of the coolant circulation device, the energy storage-charging station module and the power conversion device, and is used to recover waste heat carried by the coolant in the cooling system; The coolant circulation device is connected to the cooling system of the energy storage-charging station module and the power conversion device to form a coolant circulation system.

2. The energy cycle system based on solar-storage-heat synergy according to claim 1 is characterized in that: The energy storage-charging station module is also provided with a battery swap station, and the charging pile cluster and the battery swap station are respectively connected to the energy storage station.

3. The energy cycle system based on solar-storage-heat synergy according to claim 1 is characterized in that: The power conversion device is a bidirectional inverter module, which is connected to the photovoltaic power generation module, the power grid, the energy storage-charging station module and the power consumption system to achieve conversion and transmission of electric energy.

4. The energy cycle system based on solar-storage-heat synergy according to claim 1 is characterized in that: The heat energy recovery device is connected to the hot water storage tank through a heat pump, the photovoltaic power generation module is connected to the heat pump heat recovery, the hot water storage tank is connected to the water system, and the heat energy recovery device is a double-channel plate heat exchanger.

5. The energy cycle system based on the synergy of light storage and heat charging according to claim 1 is characterized in that: The system further comprises a wind power generation module connected to the power conversion device, wherein the wind power generation module is used to convert wind energy into electrical energy, and the coolant circulation device is provided with an air cooling system.

6. An application of an energy cycle system based on the synergy of light storage and heat charging, characterized in that: The energy circulation system based on the synergy of light storage and heat as described in any one of claims 1 to 5 is applied to a gas station.

7. A control device for an energy cycle system based on the synergy of light storage and heat charging, characterized in that: The control device is used to control the energy cycle system based on the synergy of light storage and heat charging according to claim 6, and the control device includes a data acquisition module, an intelligent dynamic scheduling module and a bidirectional inverter module intelligent control system, wherein: The data acquisition module is configured to collect operating data of the energy input end, energy distribution end, energy output end and waste heat recovery end, and input the data into the intelligent dynamic scheduling module; The bidirectional inverter module intelligent control system is configured to receive real-time operating data from the energy distribution end and feed it back to the intelligent dynamic scheduling module, and execute the power distribution instructions issued by the intelligent dynamic scheduling module; The intelligent dynamic scheduling module is configured to receive full-dimensional data from the data acquisition module, and in combination with the feedback information from the bidirectional inverter module intelligent control system, coordinate the control of photovoltaic power generation, energy storage, electric vehicle charging and waste heat utilization, and use the bidirectional inverter module intelligent control system to achieve intelligent regulation of the energy distribution end.

8. The control device of the energy cycle system based on the synergy of light storage and heat charging according to claim 7 is characterized in that: The energy input end is used to collect photovoltaic power generation, wind power generation, national grid power supply and local weather data; the energy distribution end is used to collect power distribution data between energy storage stations, battery swap stations, gas station power systems and the national grid; the energy output end is used to collect power consumption of the charging pile cluster, battery swap station, gas station power system, and heat energy output of the water system; the waste heat recovery end is used to collect waste heat data of the photovoltaic power generation module, bidirectional inverter module, energy storage station, charging pile cluster, and battery swap station; The data collection module also includes collecting statistical data from the gas station sales platform, the statistical data from the gas station sales platform including refueling amount, charging amount, station electricity consumption, hot water consumption and online booking information; The control device also includes a gas station revenue system connected to the energy output end.

9. The control device of the energy cycle system based on the synergy of light storage and heat charging according to claim 7 is characterized in that: The intelligent dynamic scheduling module is equipped with a photovoltaic power generation potential and charging demand prediction algorithm, which includes: S1, based on the daily average power generation forecast of historical photovoltaic power generation data and the meteorological correlation power generation coefficient, estimate the total power generation of the photovoltaic power generation module at a specific time scale; calculate the total power demand at the specific time scale based on historical power consumption, historical scheduled charging data, and future scheduled charging data at the specific time scale; S2, judging the numerical values ​​of the total power generation and the total power demand, and in response to the total power generation being greater than or equal to the total power demand, utilizing the bidirectional inverter module intelligent control system to execute a power generation surplus scenario strategy; and in response to the total power generation being less than the total power demand, utilizing the bidirectional inverter module intelligent control system to execute a power generation shortage scenario scheduling strategy.

10. The control device of the energy cycle system based on the synergy of light storage and heat charging according to claim 9 is characterized in that: The strategy for the power generation surplus scenario is to maintain the SOC of the energy storage station in the range of 40%-50% and start the process of connecting the surplus power to the grid; the scheduling strategy for the power generation shortage scenario is to maintain the SOC of the energy storage station in the range of 60%-70% and start the process of connecting the surplus power to the grid as needed.

11. The control device of the energy cycle system based on the synergy of light storage and heat charging according to claim 9 is characterized in that: The total electricity demand is calculated by multiplying the average daily electricity demand at the specific time scale by the historical reservation ratio, where the historical reservation ratio is the ratio of the future average daily reserved charging amount at the specific time scale to the historical average daily reserved charging amount at the specific time scale.

12. The control device of the energy cycle system based on the synergy of light storage and heat charging according to claim 8 is characterized in that: The intelligent dynamic scheduling module realizes precise regulation of the storage status of the energy storage station and the battery swap station through a hierarchical storage and dynamic balancing mechanism according to the real-time load rate of the charging pile cluster and the real-time dynamic scheduling strategy.

13. The control device of the energy cycle system based on the synergy of solar energy storage and heat charging according to claim 12 is characterized in that: When the charging pile cluster is in operation, the power input of the photovoltaic power generation module is preferentially distributed to the charging pile cluster through the bidirectional inverter module, and the real-time dynamic scheduling strategy is executed, wherein the real-time dynamic scheduling strategy includes: In response to the SOC of the energy storage station and the battery swap station being lower than a first threshold, and the power generation input power being lower than the energy output power, starting timely grid replenishment until the SOC of the energy storage station returns to a set threshold, and then stopping grid replenishment; In response to the SOC of the energy storage station being higher than the second threshold, the backup battery of the battery swap station is charged synchronously; in response to the SOC of the energy storage station and the battery swap station being higher than the third threshold, the surplus power is started to be connected to the grid.

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