Energy storage and release system for regional power grid
By integrating energy storage and release systems with energy storage units, energy conversion equipment, intelligent management systems and communication interfaces in the regional power grid, the problem of insufficient grid stability and reliability in the prior art is solved, and efficient and reliable energy management and effective utilization of renewable energy are achieved.
Patent Information
- Application Number
- CN202411579411.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-07
- Publication Date
- 2025-03-28
AI Technical Summary
The prior art is difficult to efficiently and reliably integrate a variety of energy storage technologies in large-scale power grids, resulting in insufficient stability and reliability of the power grid and difficulty in effectively utilizing renewable energy.
Design a regional power grid energy storage and release system, integrating energy storage units, energy conversion equipment, intelligent management systems and communication interfaces, and through the combination of multiple energy storage technologies and the monitoring and control of intelligent management systems, it realizes flexible response to power grid fluctuations and optimized scheduling of power demands.
It improves the stability and reliability of the power system, promotes the effective utilization of renewable energy, optimizes the overall performance of the system, extends the energy density and cycle life, and reduces costs.
Smart Images

Figure CN119726840A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the field of power systems, and in particular, relates to an energy storage and release system for a regional power grid. Background Art
[0002] With the rapid development of the global economy and the growth of the population, the demand for electricity continues to increase. At the same time, the extensive use of traditional fossil fuels has led to serious environmental pollution and greenhouse gas emissions, prompting the global acceleration of the transition to renewable energy. Renewable energy such as wind and solar energy has attracted widespread attention due to its clean and renewable characteristics. However, the intermittent and instability of these energy sources poses a huge challenge to the stable operation of the power grid. For example, solar power generation is significantly affected by the alternation of day and night, while wind power generation depends on changes in wind speed. This imbalance between supply and demand may lead to problems such as grid frequency fluctuations and voltage instability, and even cause power outages in severe cases.
[0003] Traditional power systems mainly rely on large thermal power plants or nuclear power plants to regulate loads, but this not only has a slow response speed, but also seems to be unable to cope with sudden changes in demand. In addition, over-reliance on a single power source also increases the vulnerability of the power grid. In order to improve the flexibility and reliability of the power system, energy storage technology has developed rapidly in recent years. By storing excess electricity during periods of low electricity demand and releasing it during peak hours, energy storage systems can alleviate the contradiction between supply and demand to a certain extent, smooth the load curve, and improve the quality of the power grid.
[0004] There are already some commercial energy storage solutions on the market, such as chemical energy storage technologies such as lead-acid batteries, lithium batteries, and sodium-sulfur batteries, as well as physical energy storage technologies such as pumped storage and compressed air energy storage. These technologies have their own advantages and disadvantages, but they generally have problems such as high cost, low efficiency, and short life, which limit their widespread application in large-scale power grids. Especially in regional power grids with a high proportion of renewable energy, how to efficiently and reliably integrate multiple energy storage technologies has become a key issue that needs to be solved urgently.
[0005] In view of this, this application is hereby filed. Summary of the invention
[0006] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art and provide an energy storage and release system for a regional power grid. The present invention is achieved through the following technical solutions:
[0007] A regional power grid energy storage and release system, comprising:
[0008] Energy storage units for storing electrical energy from the grid or generated by renewable energy sources;
[0009] An energy conversion device, connected between the energy storage unit and the power grid, for converting AC power into DC power for charging the energy storage unit, or converting DC power in the energy storage unit into AC power for use in the power grid;
[0010] An intelligent management system, which is in communication with the energy storage unit and the energy conversion device, and is used to monitor the system status, predict power demand, formulate charging and discharging plans, and execute corresponding control instructions;
[0011] The communication interface is used to realize data exchange between the intelligent management system and the external power grid or other related systems.
[0012] Preferably, the energy storage unit comprises one or more combinations of lithium-ion batteries, sodium-sulfur batteries, and supercapacitors.
[0013] Preferably, the energy conversion device comprises at least one bidirectional converter for realizing bidirectional conversion of electrical energy forms.
[0014] Preferably, the intelligent management system includes:
[0015] Data acquisition module, used to collect multi-source data such as power grid operation data, weather forecast information, and user electricity consumption behavior;
[0016] Demand forecasting module, which predicts electricity demand in the future based on historical data and machine learning algorithms;
[0017] The scheduling decision module generates the optimal charging and discharging plan based on the prediction results and the current system status;
[0018] The control execution module sends control instructions to the energy conversion equipment to implement the charging and discharging plan generated by the scheduling decision module.
[0019] Preferably, a safety protection module is also included to monitor the system operation status and prevent overcharging, overdischarging and short circuit faults.
[0020] Compared with the prior art, the present invention has the following beneficial effects:
[0021] 1. By integrating energy storage units, energy conversion equipment, intelligent management systems and communication interfaces, the system can flexibly respond to grid fluctuations, improve the stability and reliability of the power system, and promote the effective use of renewable energy.
[0022] 2. By adopting various types of energy storage technologies, the most suitable energy storage method can be selected according to the needs of different application scenarios, thereby optimizing the overall performance of the system, improving energy density and cycle life, and reducing costs.
[0023] 3. The design of the bidirectional converter enables the system to efficiently convert electrical energy between the power grid and the energy storage unit, thereby improving energy conversion efficiency, reducing energy loss, and enhancing the adaptability and flexibility of the system. BRIEF DESCRIPTION OF THE DRAWINGS
[0024] Figure 1 It is a schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION
[0025] The present invention will be further described below in conjunction with the accompanying drawings.
[0026] Embodiment 1
[0027] like Figure 1 As shown, this embodiment provides a regional power grid energy storage and release system, including:
[0028] Energy storage units for storing electrical energy from the grid or generated by renewable energy sources;
[0029] An energy conversion device, connected between the energy storage unit and the power grid, for converting AC power into DC power for charging the energy storage unit, or converting DC power in the energy storage unit into AC power for use in the power grid;
[0030] An intelligent management system, which is in communication with the energy storage unit and the energy conversion device, and is used to monitor the system status, predict power demand, formulate charging and discharging plans, and execute corresponding control instructions;
[0031] The communication interface is used to realize data exchange between the intelligent management system and the external power grid or other related systems.
[0032] By integrating energy storage units, energy conversion equipment, intelligent management systems and communication interfaces, the system can flexibly respond to grid fluctuations, improve the stability and reliability of the power system, and promote the effective use of renewable energy.
[0033] Preferably, the energy storage unit includes one or more combinations of lithium-ion batteries, sodium-sulfur batteries, and supercapacitors. By adopting various types of energy storage technologies, the most suitable energy storage method can be selected according to the needs of different application scenarios, thereby optimizing the overall performance of the system, improving energy density and cycle life, and reducing costs.
[0034] Preferably, the energy conversion device comprises at least one bidirectional converter for realizing bidirectional conversion of electrical energy forms.
[0035] The design of a bidirectional converter enables the system to efficiently convert electrical energy between the power grid and the energy storage unit, improving energy conversion efficiency, reducing energy loss, and enhancing the adaptability and flexibility of the system.
[0036] Preferably, the intelligent management system includes:
[0037] Data acquisition module, used to collect multi-source data such as power grid operation data, weather forecast information, and user electricity consumption behavior;
[0038] Demand forecasting module, which predicts electricity demand in the future based on historical data and machine learning algorithms;
[0039] The scheduling decision module generates the optimal charging and discharging plan based on the prediction results and the current system status;
[0040] The control execution module sends control instructions to the energy conversion equipment to implement the charging and discharging plan generated by the scheduling decision module.
[0041] The introduction of the intelligent management system has realized comprehensive monitoring of the system's operating status. Through data analysis and prediction technology, it can plan reasonable charging and discharging strategies in advance to ensure the continuity and stability of power supply while reducing operating costs.
[0042] Preferably, a safety protection module is also included to monitor the system operation status and prevent overcharging, overdischarging and short circuit faults.
[0043] Embodiment 2
[0044] This embodiment provides a control method for the regional power grid energy storage and release system according to the first embodiment, comprising the following steps:
[0045] Step S1, obtaining multi-source data of power grid operation data, weather forecast information and user power consumption behavior through a data acquisition module;
[0046] Step S2: using the demand forecasting module to forecast the power demand in the future based on historical data and machine learning algorithms;
[0047] Step S3: Generate an optimized charging and discharging plan through a scheduling decision module based on the prediction results and the current system status;
[0048] Step S4, sending a control instruction to the energy conversion device through the control execution module to implement the charging and discharging plan;
[0049] Step S5: Continuously monitor the system operation status through the security protection module to ensure safe and stable operation of the system.
[0050] This control method realizes intelligent management of system operation through steps such as multi-source data collection, demand forecasting, scheduling decision-making and control execution, improves the system's response speed and regulation accuracy, and enhances the flexibility and reliability of the power grid.
[0051] After step S4, step S6 is also included: evaluating the effect after implementation and adjusting the subsequent charging and discharging plan accordingly.
[0052] The introduction of effect evaluation and plan adjustment mechanism enables the system to timely optimize the charging and discharging strategy according to the actual operating conditions, ensuring the long-term and efficient operation of the system and further improving the energy utilization efficiency and economic benefits.
Claims
1. A regional power grid energy storage and release system, characterized in that: include: Energy storage units for storing electrical energy from the grid or generated by renewable energy sources; An energy conversion device, connected between the energy storage unit and the power grid, for converting AC power into DC power for charging the energy storage unit, or converting DC power in the energy storage unit into AC power for use in the power grid; An intelligent management system, which is in communication with the energy storage unit and the energy conversion device, and is used to monitor the system status, predict power demand, formulate charging and discharging plans, and execute corresponding control instructions; The communication interface is used to realize data exchange between the intelligent management system and the external power grid or other related systems.
2. The regional power grid energy storage and release system according to claim 1, characterized in that: The energy storage unit includes one or more combinations of lithium-ion batteries, sodium-sulfur batteries, and supercapacitors.
3. The regional power grid energy storage and release system according to claim 1, characterized in that: The energy conversion device comprises at least one bidirectional converter for realizing bidirectional conversion of electric energy.
4. The regional power grid energy storage and release system according to claim 1, characterized in that: The intelligent management system comprises: Data acquisition module, used to collect multi-source data such as power grid operation data, weather forecast information, and user electricity consumption behavior; Demand forecasting module, which predicts electricity demand in the future based on historical data and machine learning algorithms; The scheduling decision module generates the most optimized charging and discharging plan based on the prediction results and the current system status; The control execution module sends control instructions to the energy conversion equipment to implement the charging and discharging plan generated by the scheduling decision module.
5. The regional power grid energy storage and release system according to any one of claims 1 to 4, characterized in that: It also includes a safety protection module to monitor the system operating status and prevent overcharging, over-discharging and short-circuit faults.