Virtual power plant energy storage management and deployment system and method

Abstract

The invention discloses a virtual power plant energy storage management and allocation system and method, and the system comprises a data collection module which is used for collecting the operation data of distributed energy storage resources in a virtual power plant in real time; the communication module is connected with the data acquisition module and is used for transmitting the operation data to a central management and control unit and realizing information interaction among different main bodies; the central management and control unit is connected with the communication module, is internally provided with a resource coordination system, and is used for receiving the operation data, performing grouping management on the distributed energy storage resources according to a preset rule, and generating a deployment instruction according to the operation requirement of the virtual power plant; through a built-in precise resource coordination system, grouping management, priority ranking and dynamic allocation are carried out according to multi-dimensional factors, an incentive mechanism is set, positive cooperation of subjects is promoted through point exchange and income sharing, resources are effectively integrated, the operation efficiency is greatly improved, and the capacity of actively supporting a power grid is enhanced.

Description

Technical Field

[0001] The present invention belongs to the field of energy storage allocation of virtual power plants, and particularly relates to a virtual power plant energy storage management and allocation system and method. Background Art

[0002] A virtual power plant is an innovative energy management model that integrates resources such as distributed generation, energy storage systems, and controllable loads to form a virtual power generation entity. Through communication and control technologies, it realizes real-time monitoring and coordinated optimization control of various distributed energy resources. It can provide auxiliary services such as peak shaving, frequency modulation, and standby for the power grid, enhancing the stability of the power grid; at the same time, it participates in power market transactions, improves energy utilization efficiency and economic benefits, promotes the consumption of renewable energy, and plays an important role in the energy transformation, driving the energy system to develop towards a more intelligent, efficient, and sustainable direction.

[0003] With the acceleration of the energy transformation, a large number of distributed energy resources (DERs) have been connected to the power grid, but this has also brought many challenges. The traditional power grid management model is difficult to effectively coordinate a large number of heterogeneous DERs, resulting in low resource utilization efficiency, damaged power grid stability and reliability. At the same time, there is a lack of effective energy storage management and allocation means, and the role of energy storage in balancing supply and demand and consuming renewable energy cannot be fully exerted. Moreover, the information interaction between different entities is not smooth, and the initiative of resource coordination is poor. Therefore, there is an urgent need for an innovative virtual power plant energy storage management and allocation technology to achieve the optimal integration and efficient utilization of DERs.

[0004] The existing CN116707134A - virtual power plant energy storage control system disclosed in the prior art mainly focuses on the intelligence and accuracy of the energy storage control system. Although it can realize real-time control and effective scheduling of energy storage devices, it is not deep enough in the coordinated management of a large number of heterogeneous distributed energy storage resources, lacking multi-dimensional grouping management, priority ranking, and dynamic allocation mechanisms. In addition, this patent does not mention economic incentive mechanisms such as integral reward systems and revenue sharing models, which may lead to low enthusiasm of different entities to participate in the energy storage management of virtual power plants, affecting the initiative and sustainability of resource coordination. At the same time, the description of information coordination and visualization is not detailed enough, and it does not clearly mention how to display the operating status, allocation process, and overall operating efficiency of distributed energy storage resources in a virtual power plant to management personnel and various entity users in the form of intuitive charts.

[0005] The prior art disclosed in CN118281838A - Virtual power plant operation management system and method with microgrid operation mode mainly focuses on the efficient energy scheduling and management of the virtual power plant in the microgrid operation mode. Although it involves the energy management module to optimize the operation state control strategies of power generation, power consumption and energy storage devices, the optimization management of energy storage resources is not detailed enough, lacking a mechanism for grouping management, priority sorting and dynamic allocation of distributed energy storage resources based on multi - dimensional factors. In addition, although this patent involves a power market trading module that can achieve the optimal allocation of power resources and revenue improvement, it does not mention promoting the active participation of different entities and the efficient integration of resources through an incentive mechanism. This may lead to low enthusiasm of different entities in participating in the energy storage management of the virtual power plant, affecting the initiative and sustainability of resource coordination. At the same time, the description of information interaction and collaborative cooperation is not detailed enough, and it does not clearly mention how to promote the interaction among all parties through information sharing and visual display. Summary of the Invention

[0006] To solve the above - mentioned technical problems, in view of the challenges in the management of distributed energy storage resources in a virtual power plant, the present invention provides an energy storage management and allocation system and method. Through multi - dimensional resource coordination, prediction, visual display and incentive mechanism, it realizes the precise allocation and optimal configuration of energy storage resources, reduces energy waste and improves the energy - saving effect. Economically, the incentive measures improve the enthusiasm of entities to participate, optimize resource allocation and enhance economic benefits. The cloud - based information overall control realizes the centralized management of distributed energy storage resources, improving flexibility and adaptability. In terms of system interaction, the visual display promotes information sharing and collaborative cooperation, enhancing interactivity. The virtual - physical combination path realizes the seamless connection between the virtual management system and physical energy storage devices, improving the overall operation efficiency. Compared with the prior art, the present invention pays more attention to the optimization management of energy storage resources and the participation of entities, solves problems such as difficult coordination management, poor information interaction and low initiative of resource coordination, provides strong support for the efficient operation and sustainable development of the virtual power plant, and significantly improves the operation efficiency and stability.

[0007] To achieve the above object, the present invention provides a virtual power plant energy storage management and allocation system and method.

[0008] Among them, a virtual power plant energy storage management and allocation system includes:

[0009] A data acquisition module, which is used to collect the operation data of distributed energy storage resources in the virtual power plant in real time;

[0010] A communication module, connected to the data acquisition module, which is used to transmit the operation data to the central control unit and realize information interaction among different entities;

[0011] The central control unit, connected to the communication module, has a built-in resource coordination system for receiving the operation data, grouping and managing distributed energy storage resources according to preset rules, and generating deployment instructions according to the operation requirements of the virtual power plant;

[0012] The incentive mechanism module, connected to the central control unit, is used to formulate corresponding economic incentive measures according to the participation degree and contribution of the energy storage resources belonging to the subject, and encourage different subjects to cooperate with the energy storage management and deployment work of the virtual power plant;

[0013] The visualization display module, connected to the central control unit, is used to display the operation status, deployment process of distributed energy storage resources in the virtual power plant and the overall operation efficiency of the virtual power plant to management personnel and each subject user in the form of visual charts, so as to realize real-time monitoring and decision-making adjustment.

[0014] Preferably, the operation data includes energy storage capacity, charge and discharge status, and geographical location information;

[0015] The distributed energy storage resources belong to different subjects.

[0016] Preferably, the communication module adopts a hybrid communication method of wired and wireless. A high-speed wired backbone network is constructed using optical fibers between the local controller of the data acquisition module and the central control unit; at the same time, 4G / 5G wireless communication modules are configured for temporarily added or remote energy storage resources;

[0017] The communication module is built with a security encryption protocol to prevent data leakage when interacting information between different subjects.

[0018] Preferably, the preset rules are set based on the geographical location, capacity size, and subject of the energy storage resources.

[0019] Preferably, the central control unit includes a prediction module, which is used to predict the power load demand and available capacity of distributed energy storage resources in the virtual power plant in the future period based on historical operation data, real-time power market information, and weather forecast data, and provide a basis for generating deployment instructions.

[0020] Preferably, the resource coordination system includes a priority ranking subsystem and a dynamic deployment subsystem;

[0021] The priority ranking subsystem is used to rank the energy storage resources according to the capacity, charge and discharge efficiency, response speed of the distributed energy storage resources and the participation willingness of the subject;

[0022] The dynamic allocation subsystem is used to combine the real-time operating status of the virtual power plant with the predicted power load demand, and dynamically allocate distributed energy storage resources to participate in regulation according to the priority order, so as to optimize the operating efficiency of the virtual power plant.

[0023] The present invention also provides a method for managing and allocating energy storage in a virtual power plant, including:

[0024] Through a sensor network arranged in the virtual power plant, the operating data of distributed energy storage resources in the virtual power plant is collected in real time;

[0025] Using the constructed communication network, the operating data is transmitted to the central control platform in the form of data packets, while ensuring that information can be exchanged and communicated between different entities;

[0026] Based on the central control platform, according to preset rules, the distributed energy storage resources are grouped and classified according to the geographical location, capacity, and affiliated entity of the energy storage resources to construct an energy storage resource pool; and in combination with the real-time operating requirements of the virtual power plant, the dynamics of the power market, and the prediction of future power loads, the built-in resource coordination system is used to conduct overall analysis of the resources in the energy storage resource pool, generate energy storage management and allocation instructions, and perform energy storage allocation management according to the allocation instructions.

[0027] Preferably, the process of transmitting the operating data to the central control platform in the form of data packets by using the constructed communication network includes:

[0028] During the transmission process, the communication module verifies the data packets. If data errors or losses are found, retransmission is carried out in a timely manner. At the same time, information can be exchanged and communicated between different entities. When a certain entity wants to adjust its participation willingness value of the energy storage resources, a request is sent to the central control platform through the communication module, and the central control platform receives and processes it and then feeds back the result to the corresponding entity.

[0029] Preferably, the process of sending a request to the central control platform through the communication module, and the central control platform receiving and processing it and then feeding back the result to the corresponding entity includes:

[0030] The central control platform first conducts validity verification on the received entity request data, checks whether the data format is correct and whether the participation willingness value is within a reasonable range;

[0031] According to the entity identification information included in the request, the central control platform matches the relevant records of the energy storage resources, historical participation records, and credit ratings belonging to the entity in the database;

[0032] According to the overall operation rules of the virtual power plant and the cooperation agreements signed with each entity, the central control platform reviews the requests of the entities to adjust their participation willingness values. If the current credit rating of an entity is low and there is a record of failure to respond to dispatch instructions in a timely manner recently, the central control platform strictly reviews or rejects the request to increase the participation willingness value. If the entity meets the relevant rules and conditions, the review is passed;

[0033] After the review is passed, the central control platform updates the new participation willingness value of the entity to the corresponding record in the database and synchronously updates the relevant business systems; and notifies the adjustment information of the entity's participation willingness value to other relevant modules, and adopts the latest participation willingness factors when conducting the priority ranking and dynamic dispatching of energy storage resources;

[0034] Finally, the central control platform generates a feedback result, informing the entity that the request has been successfully processed and the new participation willingness value has come into effect. If the request is rejected, the reason for the rejection is stated in the feedback result.

[0035] Preferably, the process of comprehensively analyzing the resources in the energy storage resource pool by using the built-in resource coordination system in combination with the real-time operation requirements of the virtual power plant, the dynamics of the power market, and the prediction of future power loads includes:

[0036] Collect historical operation data and extract the power load characteristics under different time periods and working conditions;

[0037] Obtain real-time power market trading information and analyze the impact of price fluctuations on the power supply and demand of the virtual power plant;

[0038] Access weather forecast data, consider the indirect effects of weather factors such as temperature and sunlight on distributed energy generation and power load, and predict the power load demand in future periods;

[0039] Run the priority ranking subsystem, assign priority values to each energy storage resource based on the capacity, charge and discharge efficiency, response speed of the distributed energy storage resources, and the participation willingness of the affiliated entity; then run the dynamic dispatching subsystem, and preferentially call high-priority energy storage resources to participate in regulation according to the real-time operation status of the virtual power plant and the predicted power load demand, and adjust the dispatching strategy in real time according to the regulation effect to continuously optimize the operation efficiency of the virtual power plant.

[0040] Compared with the prior art, the present invention has the following advantages and technical effects:

[0041] Through an innovative built-in multi-dimensional resource coordination system, the present invention performs grouped management, priority ranking, and dynamic allocation based on multi-dimensional factors (such as the capacity, charge-discharge efficiency, response speed of energy storage resources, and the participation willingness of the affiliated entities), achieving the efficient integration and optimal utilization of a large number of heterogeneous distributed energy storage resources, and greatly enhancing the operating efficiency of the virtual power plant and its active support ability for the power grid.

[0042] The present invention innovatively uses a central control unit and integrates a prediction module, which can comprehensively analyze historical operation data, real-time electricity market information, and weather forecast data to accurately predict the future power load demand of the virtual power plant and the available capacity of distributed energy storage resources, providing a scientific basis for the generation of dispatching instructions, making the allocation of energy storage resources more reasonable and timely, effectively balancing power supply and demand, and reducing operating costs.

[0043] The present invention innovatively introduces a visualization display module, which presents the operating status, allocation process, and overall operating efficiency of distributed energy storage resources in the virtual power plant to management personnel and various entity users in the form of intuitive charts, realizing the transparency of the operation process, facilitating real-time monitoring and timely decision-making adjustment by all parties, and improving management efficiency and response speed.

[0044] The present invention innovatively establishes an integral reward system and constructs a revenue sharing model, formulates corresponding economic incentive measures according to the participation and contribution of energy storage resources affiliated to each entity, fully mobilizes the enthusiasm of different entities, promotes their active cooperation in the energy storage management and allocation work of the virtual power plant, improves the initiative and sustainability of resource coordination, and provides a strong guarantee for the stable operation and sustainable development of the virtual power plant. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The drawings forming a part of this application are used to provide a further understanding of this application. The schematic embodiments and descriptions thereof of this application are used to explain this application and do not constitute an improper limitation of this application. In the drawings:

[0046] Figure 1 is a schematic diagram of the system structure of an embodiment of the present invention;

[0047] Figure 2 is a schematic diagram of the method flow of an embodiment of the present invention;

[0048] Figure 3 is a flowchart of the operation of the resource coordination system of an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0049] It should be noted that, without conflict, the embodiments in this application and the features in the embodiments can be combined with each other. The following will refer to the drawings and combine with the embodiments to detail this application.

[0050] It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. And although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0051] As Figure 1 shown, in this embodiment, a virtual power plant energy storage management and dispatching system is provided, including:

[0052] A data acquisition module, configured to acquire the operation data of a large number of distributed energy storage resources in the virtual power plant in real time;

[0053] Among them, the operation data includes energy storage capacity, charge and discharge status, and geographical location information, and the distributed energy storage resources belong to different entities;

[0054] Specifically, high-precision sensors are installed at each distributed energy storage site, including an electric quantity sensor for real-time monitoring of the energy storage capacity, a current and voltage sensor for judging the charge and discharge status, and a GPS-based positioning module for obtaining geographical location information. In the energy storage cabinet of a community, the electric quantity sensor collects the current energy storage electric quantity data every 5 minutes, converts it into a digital signal, and transmits it to the local controller of the data acquisition module through a wired transmission method. The data acquisition module summarizes and organizes the operation data of hundreds of distributed energy storage resources from different entities to ensure the accuracy and real-time nature of the data.

[0055] A communication module, connected to the data acquisition module, configured to transmit the acquired operation data to the central control unit and realize information interaction between different entities;

[0056] Specifically, a wired and wireless hybrid communication method is adopted. Between the local controller of the data acquisition module and the central control unit, an optical fiber is used to build a high-speed wired backbone network to ensure the stable transmission of a large amount of data; at the same time, 4G / 5G wireless communication modules are configured for some temporarily added or remote energy storage resources to ensure that all operation data can be delivered to the central control unit in a timely manner. The communication module also incorporates a security encryption protocol to prevent data leakage when information is exchanged between different entities and ensure the security and reliability of information interaction.

[0057] A central control unit, connected to the communication module, with a resource coordination system built in, configured to receive the operation data, group and manage the distributed energy storage resources according to preset rules, and generate dispatching instructions according to the operation requirements of the virtual power plant;

[0058] The preset rules are set based on the geographical location, capacity size, and the entity to which the energy storage resources belong.

[0059] Specifically, based on the preset rules of geographical location, when the virtual power plant has a wide coverage area, according to the division of the regional power grid, the energy storage resources close to the load center are preferentially grouped for management, so as to quickly respond during the peak power demand, reduce transmission losses, and quickly meet the electricity demand; according to the geographical environment, for the energy storage resources in areas prone to natural disasters, they are grouped separately and special operation and maintenance and deployment strategies are formulated to ensure safety and reliability; from the perspective of capacity size, a capacity interval threshold is set, and the energy storage resources are divided into different groups such as large-capacity, medium-capacity, and small-capacity. For different power demand scenarios, they are preferentially allocated according to the groups. When dealing with sudden small-power shortages, they are preferentially allocated from the small-capacity group to accurately meet the demand and avoid frequent charge and discharge losses of large-capacity resources; regarding the affiliated entities, if they involve different commercial entities, residential entities, etc., then factors such as the credit rating and cooperation history of the entities are considered. The energy storage resources affiliated to entities with good credit and long-term stable cooperation are given a certain priority in group allocation; for newly joined entities, small-scale allocation tests may be carried out in the early stage, and the group allocation strategy is gradually adjusted according to their resource performance.

[0060] Further, the central control unit includes a prediction module, which is used to predict the power load demand and the available capacity of distributed energy storage resources of the virtual power plant in the future period according to historical operation data, real-time power market information, and weather forecast data, so as to provide a basis for the generation of allocation instructions.

[0061] Further, the resource coordination system includes a priority ranking subsystem and a dynamic allocation subsystem;

[0062] The priority ranking subsystem is used to rank the priority of each energy storage resource according to the capacity, charge and discharge efficiency, response speed of the distributed energy storage resources, and the participation willingness of the affiliated entity.

[0063] The specific ranking method is as follows:

[0064] Capacity factor: For an industrial energy storage device with a storage capacity of 500 kW·h, its capacity weight coefficient is set to 0.4, and the capacity score = 0.4 × 500 = 200;

[0065] Charge and discharge efficiency factor: After testing, the charge and discharge efficiency of this device is 90%, the charge and discharge efficiency weight coefficient is set to 0.3, and the charge and discharge efficiency score = 0.3 × 0.9 = 0.27;

[0066] Response speed factor: Its average response time is 10 seconds, the response speed weight coefficient is set to 0.2, and the response speed score = 0.2 × (1 / 10) = 0.02;

[0067] Participation willingness factor of the affiliated entity: The participation willingness value given by this industrial enterprise is 0.8, the participation willingness weight coefficient is set to 0.1, and the participation willingness score = 0.1 × 0.8 = 0.08;

[0068] The comprehensive calculated priority value of the device = 200 + 0.27 + 0.02 + 0.08 = 200.37.

[0069] In the same way, prioritize all distributed energy storage resources;

[0070] The dynamic allocation subsystem is used to combine the real-time operating status of the virtual power plant with the predicted power load demand, and dynamically allocate distributed energy storage resources to participate in regulation according to the priority order to optimize the operating efficiency of the virtual power plant.

[0071] Specifically, during the peak electricity consumption period in summer, the real-time operating status of the virtual power plant shows a power deficit of 200 kW. The central control unit, according to the priority order, first calls high-priority energy storage resources to participate in regulation. When it is found that the sum of the dischargeable powers of the first few high-priority energy storage resources has exceeded the power deficit, for example, the dischargeable powers of the first 3 energy storage resources are 80 kW, 70 kW, and 60 kW respectively. At this time, stop calling low-priority resources and only maintain these 3 resources to participate in discharge regulation, and monitor the change of the power deficit in real time. If the deficit decreases to a certain extent, adjust the resources participating in regulation in a timely manner.

[0072] The incentive mechanism module is connected to the central control unit and is used to formulate corresponding economic incentive measures according to the degree of participation in regulation and the contribution of the energy storage resources belonging to the entity, so as to encourage different entities to cooperate with the energy storage management and allocation work of the virtual power plant;

[0073] The visualization display module is connected to the central control unit and is used to display the operating status, allocation process of distributed energy storage resources in the virtual power plant, and the overall operating efficiency of the virtual power plant to management personnel and each entity user in the form of visual charts for real-time monitoring and decision-making adjustment.

[0074] Specifically, it is connected to the central control unit through Ethernet and uses visualization software to display the operating status of distributed energy storage resources in the virtual power plant, including the percentage of electricity in each energy storage device, the charge and discharge status indicator lights, the allocation process, and the overall operating efficiency of the virtual power plant in the form of charts on the large screen of the monitoring center. Management personnel can intuitively see the operating conditions of the entire virtual power plant in the monitoring center, discover problems in a timely manner and make decision-making adjustments. Each entity user can also log in through the authorized web port or mobile APP to view the relevant information of the energy storage resources belonging to themselves.

[0075] Through the built-in precise resource coordination system, the present invention manages, prioritizes, and dynamically allocates according to multi-dimensional factors, and at the same time sets up an incentive mechanism to promote the active cooperation of entities through integral exchange and benefit sharing, effectively integrates resources, greatly improves the operating efficiency, and enhances the ability to actively support the power grid.

[0076] Embodiment 2

[0077] As Figures 2-3 shown, based on the same inventive concept, this embodiment also provides a virtual power plant energy storage management and allocation method, including the following steps:

[0078] S1. Data collection: Through the sensor network arranged in the virtual power plant, the operation data of a large number of distributed energy storage resources in the virtual power plant are collected in real time. The operation data cover energy storage capacity, charge and discharge status, and geographical location information, and the distributed energy storage resources belong to different entities;

[0079] The sensor network continuously collects the operation data of a large number of distributed energy storage resources in real time. These data cover the energy storage capacity accurate to 0.1 kW·h, charge and discharge status, represented by 1 for charging, 0 for discharging, and -1 for standby, and geographical location information accurate to 6 decimal places after the decimal point of longitude and latitude. The distributed energy storage resources belong to different entities, including 50 communities, 20 enterprises, and 30 individual property owners. A full set of data is collected every 10 minutes and transmitted to the central control platform through the communication module;

[0080] S2. Data transmission: Use the constructed communication network to transmit the collected operation data to the central control platform in the form of data packets, while ensuring that information can be exchanged and communicated between different entities;

[0081] During the transmission process, the communication module verifies the data packets. If data errors or losses are found, retransmission is carried out in a timely manner. At the same time, information can be exchanged and communicated between different entities. When a certain entity wants to adjust its participation willingness value of the energy storage resources, it sends a request to the central control platform through the communication module, and the platform receives and processes it and then feeds back the result to the entity.

[0082] The specific processing method is as follows:

[0083] The platform first validates the received entity request data, checks whether the data format is correct and whether the participation willingness value is within a reasonable range;

[0084] According to the entity identification information included in the request, the platform accurately matches the relevant records such as the energy storage resource information, historical participation records, and credit rating of the entity in the database;

[0085] The platform reviews the request of the entity to adjust the participation willingness value according to the overall operation rules of the virtual power plant and the cooperation agreements signed with each entity. If the current credit rating of the entity is low and there are multiple records of not responding to the allocation instructions in a timely manner recently, the platform will strictly review or reject the request of the entity to increase the participation willingness value. If the entity meets the relevant rules and conditions, the review will pass;

[0086] After the review is passed, the platform updates the new participation willingness value of the entity to the corresponding record in the database and synchronously updates the relevant business systems; the platform notifies other relevant modules of the adjustment information of the entity's participation willingness value, so that the latest participation willingness factor can be considered when performing the priority sorting and dynamic allocation of energy storage resources;

[0087] Finally, the platform generates a feedback result, clearly informing the entity that the request has been successfully processed and the new participation willingness value has come into effect. If the request is rejected, the feedback result will detail the reasons for the rejection;

[0088] S3. Resource grouping: Based on the central control platform, according to preset rules, the distributed energy storage resources are grouped and classified according to the geographical location, capacity size, and affiliated entity of the energy storage resources to construct an energy storage resource pool;

[0089] In the central control platform, according to preset rules, according to the geographical location of the energy storage resources, 30 energy storage resources close to the urban center load area are grouped into one group to facilitate a quick response to the urban electricity demand; according to the capacity size, 10 large-scale energy storage resources with a capacity greater than 1000kW·h are grouped separately to handle large-scale power allocation tasks; according to the affiliated entity, the energy storage resources of 20 enterprise entities are grouped into one group for unified management and communication. Through such grouping and classification, multiple energy storage resource pools are constructed to improve the management and allocation efficiency;

[0090] S4. Generation of dispatching instructions: The central control platform combines the real-time operation requirements of the virtual power plant, the dynamics of the power market, and the prediction of future power loads, and uses the built-in resource coordination system to conduct overall analysis of the resources in each energy storage resource pool to generate accurate energy storage management dispatching instructions, and conducts energy storage dispatching management according to the dispatching instructions.

[0091] The central control platform combines the real-time operation requirements of the virtual power plant, such as being at the peak of electricity consumption at the current moment with a power deficit of 300kW; the dynamics of the power market, with the current electricity price being relatively high, and the grid power purchase should be minimized; and the prediction of future power loads, such as the power load is expected to continue to rise within the next 2 hours. Using the built-in priority sorting subsystem and dynamic allocation subsystem to conduct overall analysis of the resources in each energy storage resource pool, and preferentially select appropriate energy storage resources from the energy storage resource pools close to the load area and with high priority to participate in the regulation, generating accurate energy storage management dispatching instructions.

[0092] Furthermore, the prediction module in the central control unit predicts the power load demand of the virtual power plant and the available capacity of the distributed energy storage resources in the future period based on historical operation data, real-time power market information, and weather forecast data, providing a basis for the generation of dispatching instructions. The steps for predicting future power loads include:

[0093] Collect historical operation data and extract the power load characteristics under different time periods and different working conditions;

[0094] Obtain real-time power market trading information and analyze the impact of price fluctuations on the power supply and demand of the virtual power plant;

[0095] Access weather forecast data, consider the indirect effects of weather factors such as temperature and sunlight on distributed energy generation and power load, and comprehensively use various data analysis methods to predict the power load demand in future time periods.

[0096] Specifically, collect the historical operation data of the past year, extract the power load characteristics under different time periods and different working conditions such as daytime, night and weekend on weekdays, establish a load prediction model, and access the local power market trading information in real time. When it is found that the electricity price shows a significant downward trend during the evening low period, it is concluded that the virtual power plant can increase the energy storage charging amount at this time to reduce costs. At the same time, considering the weather forecast data, if it is forecast that it will be hot and sunny in the next two days, it is predicted that the distributed energy generation will increase, but the power load will also rise due to the large increase in air conditioner use. Integrate these factors to plan the allocation strategy of energy storage resources in advance.

[0097] Furthermore, the operation process of the resource coordination system is as follows:

[0098] First, run the priority ranking subsystem, and assign a priority value to each energy storage resource based on the capacity, charge and discharge efficiency, response speed of the distributed energy storage resources and the participation willingness of the affiliated entities; then run the dynamic allocation subsystem, and according to the real-time operation status of the virtual power plant and the predicted power load demand, preferentially call the energy storage resources with high priority to participate in the regulation, and adjust the allocation strategy in real time according to the regulation effect to continuously optimize the operation efficiency of the virtual power plant.

[0099] Further, it also includes a visualization display step: display the operation status, allocation process of the distributed energy storage resources in the virtual power plant and the overall operation efficiency of the virtual power plant to the management personnel and each entity user through a visualization interface, realize the transparency of the operation process, and facilitate all parties to monitor in real time and adjust decisions in a timely manner.

[0100] Further, the method also includes: through the incentive mechanism module, formulate corresponding economic incentive measures according to the participation degree and contribution of the energy storage resources affiliated to each entity, encourage different entities to actively cooperate with the energy storage management and allocation work of the virtual power plant, and improve the initiative of resource coordination.

[0101] Furthermore, the operation mode of the incentive mechanism module includes: establishing an integral reward system, accumulating points for each entity according to indicators such as the charge and discharge volume and response timeliness of energy storage resources, and the points can be exchanged for electricity fee discounts, equipment maintenance services or other value-added services; constructing a revenue sharing model. When the virtual power plant realizes additional revenue due to the effective allocation of energy storage resources, the revenue is distributed according to the contribution ratio of each entity, promoting different entities to continuously invest high-quality energy storage resources to participate in the operation of the virtual power plant.

[0102] Specifically, according to the charge and discharge volume of energy storage resources, 1 point is given for every 1 kW·h of charge and discharge; in terms of response timeliness, if the response can be made within 5 minutes after receiving the allocation instruction, 50 points will be given as a reward. The energy storage equipment of a certain community reaches 500 kW·h of charge and discharge volume within a month, and the number of timely responses is 10 times, with a total of 500 + 50×10 = 1000 points accumulated. The community owners can exchange these points for electricity fee discounts at the end of the year. For example, 1000 points can be exchanged for a 100 yuan electricity fee reduction, or for equipment maintenance services. When the virtual power plant realizes additional revenue due to the effective allocation of energy storage resources, the revenue is distributed according to the contribution ratio of each entity. In an emergency power market peak shaving task, by reasonably allocating distributed energy storage resources, the virtual power plant obtains an additional revenue of 100,000 yuan. After accounting, the contribution ratio of the energy storage resources of an enterprise entity is 20%, then the enterprise can get 100,000×20% = 20,000 yuan of revenue, which promotes different entities to continuously invest high-quality energy storage resources to participate in the operation of the virtual power plant.

[0103] The present invention aims at the massive heterogeneous energy storage resources in the virtual power plant. Through an innovative management and allocation system and method, a precise resource coordination system is built in, which manages, prioritizes and dynamically allocates according to multi-dimensional factors. At the same time, an incentive mechanism is established to promote the active cooperation of entities through integral exchange and revenue sharing, effectively integrating resources, greatly improving the operation efficiency, and enhancing the ability to actively support the power grid.

[0104] The data acquisition, transmission and analysis modules of the present invention work together to real-time control the details of resources, accurately predict the power load by combining historical, market and weather information, generate allocation instructions accordingly, ensure the reasonable charging and discharging of energy storage, accurately balance the power supply and demand, reduce costs, and operate stably.

[0105] A virtual power plant energy storage management and allocation method provided by this embodiment has all the advantages of the virtual power plant energy storage management and allocation system provided by Embodiment 1.

[0106] Embodiment 3

[0107] This embodiment also discloses a computer device, including a memory, a processor and a computer program stored on the memory. The processor executes the computer program to implement the steps of the method described in Embodiment 1.

[0108] Example 4

[0109] This embodiment also discloses a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method described in Embodiment 1 are implemented.

[0110] Example 5

[0111] This embodiment also discloses a computer program product, including a computer program. When the computer program is executed by a processor, the steps of the method described in Embodiment 1 are implemented.

[0112] The above is only a preferred specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed in the present application should be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A virtual power plant energy storage management and deployment system, characterized in that: include: Data acquisition module, used to collect real-time operating data of distributed energy storage resources in the virtual power plant; A communication module, connected to the data acquisition module, for transmitting the operation data to a central control unit and realizing information interaction between different subjects; A central control unit, connected to the communication module, with a built-in resource coordination system, for receiving the operation data, grouping and managing distributed energy storage resources according to preset rules, and generating deployment instructions according to the operation requirements of the virtual power plant; An incentive mechanism module, connected to the central control unit, is used to formulate corresponding economic incentive measures according to the degree of participation and contribution of the energy storage resources of the subject, so as to encourage different subjects to cooperate with the energy storage management and deployment of the virtual power plant; The visualization display module is connected to the central control unit and is used to display the operating status, allocation process and overall operating efficiency of the distributed energy storage resources in the virtual power plant to managers and various main users in the form of visual charts, so as to realize real-time monitoring and decision-making adjustment.

2. The system according to claim 1, characterized in that The operating data includes energy storage capacity, charging and discharging status, and geographic location information; The distributed energy storage resources belong to different entities.

3. The system according to claim 1, characterized in that The communication module adopts a hybrid wired and wireless communication mode, and uses optical fiber to build a high-speed wired backbone network between the local controller of the data acquisition module and the central control unit; at the same time, a 4G / 5G wireless communication module is configured for energy storage resources that are temporarily added or in remote locations; The communication module has a built-in security encryption protocol to prevent data leakage when information is exchanged between different entities.

4. The system according to claim 1, characterized in that The preset rules are set based on the geographical location, capacity, and entity to which the energy storage resources belong.

5. The system according to claim 1, characterized in that The central control unit includes a prediction module, which is used to predict the power load demand and available capacity of distributed energy storage resources of the virtual power plant in future periods based on historical operation data, real-time electricity market information and weather forecast data, thereby providing a basis for the generation of dispatch instructions.

6. The system according to claim 1, characterized in that The resource coordination system includes a priority sorting subsystem and a dynamic allocation subsystem; The priority sorting subsystem is used to prioritize the energy storage resources according to the capacity, charging and discharging efficiency, response speed and participation willingness of the subject of the distributed energy storage resources; The dynamic allocation subsystem is used to combine the real-time operating status of the virtual power plant with the predicted power load demand, dynamically allocate distributed energy storage resources to participate in regulation in order of priority, and optimize the operating efficiency of the virtual power plant.

7. A virtual power plant energy storage management and deployment method, characterized in that: include: Through the sensor network deployed in the virtual power plant, the operating data of the distributed energy storage resources in the virtual power plant is collected in real time; The operation data is transmitted to the central control platform in the form of data packets using the constructed communication network, while ensuring that information exchange and communication can be carried out between different entities; Based on the central control platform, according to preset rules, distributed energy storage resources are grouped and classified according to their geographical location, capacity, and ownership, to build an energy storage resource pool; In combination with the real-time operation requirements of the virtual power plant, power market dynamics and forecasts of future power loads, the built-in resource coordination system is used to conduct a comprehensive analysis of the resources in the energy storage resource pool, generate energy storage management and dispatch instructions, and perform energy storage dispatch management according to the dispatch instructions.

8. The method according to claim 7, characterized in that The process of transmitting the operating data in the form of data packets to the central control platform using the constructed communication network includes: During the transmission process, the communication module verifies the data packet. If any data error or loss is found, it will be retransmitted in time. At the same time, it ensures that different subjects can communicate with each other. When a subject wants to adjust the participation willingness value of its energy storage resources, it sends a request to the central control platform through the communication module. The central control platform receives and processes the request and then feeds back the result to the corresponding subject.

9. The method according to claim 8, characterized in that The process of sending a request to the central control platform through the communication module, and the central control platform receiving and processing the request and feeding back the result to the corresponding subject includes: The central control platform first verifies the validity of the subject request data received, checking whether the data format is correct and whether the participation willingness value is within a reasonable range; According to the subject identification information contained in the request, the central management and control platform matches the energy storage resource information, historical participation records and credit rating records of the subject in the database; The central control platform reviews the subject's request to adjust the participation willingness value based on the overall operation rules of the virtual power plant and the cooperation agreement signed with each subject. If the subject's current credit rating is low and there is a recent record of not responding to the allocation instructions in a timely manner, the central control platform will strictly review the request to increase the participation willingness value or reject the request. If the subject meets the relevant rules and conditions, the review is passed; After the review is passed, the central control platform will update the subject's new participation willingness value to the corresponding record in the database, and simultaneously update the relevant business system; and notify other relevant modules of the adjustment information of the subject's participation willingness value, and use the latest participation willingness factors when performing energy storage resource priority sorting and dynamic allocation; Finally, the central control platform generates a feedback result, informing the subject that the request has been successfully processed and the new participation willingness value has taken effect. If the request is rejected, the reason for the rejection is stated in the feedback result.

10. The method according to claim 7, characterized in that In combination with the real-time operation requirements of the virtual power plant, the dynamics of the power market, and the forecast of future power load, the process of comprehensively analyzing the resources in the energy storage resource pool using the built-in resource coordination system includes: Collect historical operation data and extract power load characteristics under different time periods and working conditions; Obtain power market transaction information in real time and analyze the impact of price fluctuations on power supply and demand of virtual power plants; Access weather forecast data, consider the indirect effects of weather factors such as temperature and sunlight on distributed energy generation and power load, and predict power load demand in future periods; Run the priority sorting subsystem to assign a priority value to each energy storage resource based on the capacity, charging and discharging efficiency, response speed and participation willingness of the distributed energy storage resources; then run the dynamic allocation subsystem to give priority to high-priority energy storage resources to participate in regulation according to the real-time operating status of the virtual power plant and the predicted power load demand, and adjust the allocation strategy in real time according to the regulation effect to continuously optimize the operating efficiency of the virtual power plant.

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