Energy Storage Power Station Research Articles

Research on a Monitoring System for Vehicle-Mounted Mobile Energy Storage Shelter

This paper expounds on the current development status and existing problems of vehicle-mounted mobile energy storage shelters. In view of the existing problems, a vehicle-mounted mobile energy storage shelter is designed with multi-state perception and evaluation capabilities, multi-dimensional monitoring, and display based on B/S architecture. The realization scheme of the monitoring system proposes a new design idea for the development of the remote monitoring system of the vehicle-mounted mobile energy storage power station. The system was put into trial operation in the laboratory environment to realize the safe dispatch of the vehicle-mounted mobile energy storage shelter and to realize multi-dimensional monitoring, display, and analysis of the working process, operation data, and cabin environment, and achieve the expected design effect.

Research and exploration on the path to realize the “Double Carbon” goal in China

In order to ensure energy security, China should make full use of existing resources, such as the open space on highways, highways and railways, the roofs of industrial and mining areas, towns and villages, and the large-scale clustering of deserts, gobi, wastelands and grasslands to vigorously develop new energy such as photovoltaic power and wind power. At the same time, large-scale construction of pumping and solar thermal energy storage power stations on the mountains of various provinces, cities and counties in China will adjust and balance China’s large power grid, To achieve the goal of reducing carbon without reducing productivity, this paper also analyzes and demonstrates its feasibility from the perspective of comprehensive social benefits and investment, and proposes that large-scale cluster construction of wind and electricity in offshore waters should no longer be carried out globally.

Grouping Control Strategy for Battery Energy Storage Power Stations Considering the Wind and Solar Power Generation Trend

For the optimal power distribution problem of battery energy storage power stations containing multiple energy storage units, a grouping control strategy considering the wind and solar power generation trend is proposed. Firstly, a state of charge (SOC) consistency algorithm based on multi-agent is proposed. The adaptive power distribution among the units started can be realized using this algorithm. Then, considering the trend of wind and solar power generation, a reasonable grouping control strategy is formulated. The grouping situation of the units is determined by using the probability distribution characteristics of energy storage charging and discharging, which reduces the number of charging and discharging conversions and extends the power station life. Finally, the actual data of a wind–solar energy storage microgrid is used to verify the method. The simulation results demonstrate that the proposed method has certain advantages in terms of control effect, SOC consistency, and extending the power station life.

Thermal management research for a 2.5 MWh energy storage power station on airflow organization optimization and heat transfer influential characteristics

Most of the thermal management for the battery energy storage system (BESS) adopts air cooling with the air conditioning. However, the air-supply distance impacts the temperature uniformity. To improve the BESS temperature uniformity, this study analyzes a 2.5 MWh energy storage power station (ESPS) thermal management performance. It optimizes airflow organization with louver fins and simulates its heat transfer behavior. To improve the flow rate distribution along the airflow passage, the air-supply organization of louver fins for the overhead air conditioner is optimized. It indicates that the air-supply angle (A) for louver fins and the battery spacing (D) impacts greatly on BESS thermal management performance. The air supply optimal organization with the A of 90° and the D of 18mm was determined, of which the average temperature (TA) rise of the battery can be reduced by 18%, and the temperature difference (TD) is decreased by 23%. Furthermore, a multi-parametric sensitivity analysis is conducted, and the different heat-flow parameter influential sequence for the TA and TD are revealed. The air supply volume flow rate (L) and the air supply temperature (AST) has a significant effect on the TA reduction, and the AST shows significance on the TD decreasing. When AST is reduced to 290 K, the TA rise of batteries decreased by 71%. When the L is increased 10 times, the TA rise of batteries decreased by 227%. When the AST is decreased to 290 K, the TD is reduced by 39%. When the L for air supply is increased by 10 times, the TD will increase by 28%. In this research, the louver fins are firstly adopted for orifices air supply organization to improve thermal field uniformity for BESS.

Energy Management Strategy for Shared Battery Energy Storage Systems Considering Economy and SOC Consistency

in an effort to solve the large fluctuation of renewable energy power generation output, which brings many challenges to power system operation, Battery Energy Storage Systems (BESS) are more and more widespread in power systems. This paper proposes an energy management strategy for shared energy storage power plants. First, the shared energy storage power plants are divided into different PCS unit groups, which trade according to different electricity prices. Secondly, the charging and discharging priorities of PCS unit groups are ranked according to the electricity price to maximize the benefits. At the same time, considering the consistency of system SOC (state of charge), the system has higher stability, and more average battery SOC is conducive to better scheduling of BESS. The trade model of a 100MW shared energy storage power station is built in this paper to verify the effectiveness of this method.

Investigation on the Thermal Contact Resistance Mechanism of a Composite Phase Change Material for Battery Thermal Management

Composite phase change materials as passive thermal management systems have great potential application in power battery modules, but they are still limited by some drawbacks such as easy leakage, high rigidity, and low thermal conductivity. In this study, an excellent antileakage flexible composite phase change material has been prepared and utilized in the battery module. Styrene–butadiene–styrene and ethylene vinyl acetate with a synergistic effect are utilized to improve the antileakage and flexibility properties, which are beneficial to improve the thermal management effect of the battery module. Particularly, the mechanism of thermal contact resistance between the phase change material and battery module is deeply analyzed; the experimental results revealed that the maximum temperature and temperature difference can be maintained within 46.5 and 3.5 °C at 3C discharge rate, respectively. It indicates that the antileakage flexible CPCM can not only form a closer contact with the batteries but also exhibit excellent temperature controlling capacity, especially at a high discharge rate. This study can provide new insights into the decrease of the thermal contact resistance in the battery module; it will be suitable for other dynamic equipment such as energy storage power stations and firefighting power systems.

Thermal energy storage technology and its application in power data remote transmission

In order to meet the current situation of the strong growth of energy demand, the authors put forward the research of thermal energy storage technology and its application in power data remote transmission. The main content of the technology is based on heat energy storage technology, discuss the advantages of heat energy storage technology, and study the stability analysis in the remote transmission of power data, finally, the stability performance of heat energy storage technology in power data remote transmission is obtained through experiments. The experimental results show that the energy storage is added at bus 6 of the power supply end, and the transmission distance between the energy storage power station and bus 6 is changed and the energy storage output is kept at 100 MW, the power of the connecting line is 400 MW. With the increase of the transmission distance, the variation trend of the interregion oscillation mode and the oscillation mode in Region 1 and Region 2 is that the oscillation frequency increases, the characteristic root moves to the left and the damping ratio increases, but the change is small. In conclusion it proves that heat energy storage technology has outstanding advantages, it has a broad development prospect and an important role in power data remote transmission.

Comprehensive Benefit Evaluation Analysis And Application Research of Energy Storage

In recent years, the penetration rate of renewable energy in the power system has increased year by year, and the allocation of energy storage is an important development trend to improve the operation stability of the grid-connected power system containing renewable energy. This paper first analyzes the basic concept and operation principle of energy storage devices, and then explains the costs and benefits of energy storage devices. Finally, the industrial park and energy storage power station are used as practical application scenarios to verify the correctness of the proposed method. The example results show that energy storage should be installed in a place where the system network loss is minimal and the reliability of power supply can be maximized, and the capacity of the energy storage system should match the load capacity of the bus bar of the installation site, so as to achieve the greatest comprehensive benefits.

Virtual Synchronous Generator Adaptive Control of Energy Storage Power Station Based on Physical Constraints

The virtual synchronous generator (VSG) can simulate synchronous machine’s operation mechanism in the control link of an energy storage converter, so that an electrochemical energy storage power station has the ability to actively support the power grid, from passive regulation to active support. Since energy storage is an important physical basis for realizing the inertia and damping characteristics in VSG control, energy storage constraints of the physical characteristics on the system control parameters are analyzed to provide a basis for the system parameter tuning. In a classic VSG control, its virtual inertia and damping coefficient remain unchanged. When the grid load changes greatly, the constant control strategy most likely result in the grid frequency deviation beyond the stable operation standard limitations. To solve this problem, a comprehensive control strategy considering electrified wire netting demand and energy storage unit state of charge (SOC) is proposed, and an adaptive optimization method of VSG parameters under different SOC is given. The energy storage battery can maintain a safe working state at any time and be smoothly disconnected, which can effectively improve the output frequency performance of energy storage system. Simulation results further demonstrated the effectiveness of the VSG control theoretical analysis.

Day-ahead and real-time market bidding and scheduling strategy for wind power participation based on shared energy storage

Day-ahead and real-time market bidding and scheduling strategy for wind power participation based on shared energy storage

Review of machine learning method for safety management of lithium-ion battery energy storage

With the broad implementation of electrochemical energy storage technology, the noteworthy issue of ensuring safe operation and maintenance of battery energy storage power plants has become more and more prominent. The conventional battery management system solely acquires data on the voltage, current, and temperature of individual battery cells. Constrained by hardware processing capabilities, limitations in data transmission bandwidth, and latency issues, effectively monitoring the health and safety of large-scale battery energy storage systems has become a critical technological challenge. The implementation of machine learning techniques in predicting the operating conditions of lithium-ion batteries has provided opportunities for enhancing the safety management of energy storage systems. To address the safety management requirements of lithium-ion batteries, this paper firstly introduces research related to the risk mechanism of abusive use and thermal runaway of such batteries. Next, the architecture and application characteristics of the lithium-ion battery management system will be discussed. The implementation of machine learning techniques for analyzing the health and safety status of lithium-ion batteries is extensively discussed. Finally, a safety assessment of lithium-ion batteries for energy storage power stations is anticipated.

Thermal runaway propagation behavior and energy flow distribution analysis of 280 Ah LiFePO4 battery

Thermal runaway propagation behavior and energy flow distribution analysis of 280 Ah LiFePO4 battery

A novel nonlinear decreasing step-bacterial foraging optimization algorithm and simulated annealing-back propagation model for long-term battery state of health estimation

A novel nonlinear decreasing step-bacterial foraging optimization algorithm and simulated annealing-back propagation model for long-term battery state of health estimation

Electrochemical Failure Results Inevitable Capacity Degradation in Li-Ion Batteries—A Review

Lithium-ion batteries (LIBs) have been widely used in mobile devices, energy storage power stations, medical equipment, and other fields, became an indispensable technological product in modern society. However, the capacity degradation of LIBs limits their long-term deployment, which is not conducive to saving resources. What is more, it will lead to safety problems when the capacity of the battery is degraded. Failure of the battery is a key issue in the research and application of LIBs. Faced with the problem of capacity degradation, various aspects of LIBs have been studied. This paper reviews the electrochemical degradation mechanism of LIBs’ life fade, detection technologies for battery failure, methods to regulate battery capacity degradation, and battery lifetime prognostics. Finally, the development trend and potential challenges of battery capacity degradation research are prospected. All the key insights from this review are expected to advance the research on capacity fading and lifetime prediction techniques for LIBs.

A State-of-Health Estimation and Prediction Algorithm for Lithium-Ion Battery of Energy Storage Power Station Based on Information Entropy of Characteristic Data

A State-of-Health Estimation and Prediction Algorithm for Lithium-Ion Battery of Energy Storage Power Station Based on Information Entropy of Characteristic Data

A Review of Lithium-Ion Battery Failure Hazards: Test Standards, Accident Analysis, and Safety Suggestions

The frequent safety accidents involving lithium-ion batteries (LIBs) have aroused widespread concern around the world. The safety standards of LIBs are of great significance in promoting usage safety, but they need to be constantly upgraded with the advancements in battery technology and the extension of the application scenarios. This study comprehensively reviews the global safety standards and regulations of LIBs, including the status, characteristics, and application scope of each standard. A standardized test for thermal runaway triggering is also introduced. The recent fire accidents in electric vehicles and energy storage power stations are discussed in relation to the upgrading of the rational test standards. Finally, the following four suggestions for improving battery safety are proposed to optimize the safety standards: (1) early warning and cloud alarms for the battery’s thermal runaway; (2) an innovative structural design for a no-fire battery pack; (3) the design of a fire water injection interface for the battery pack; (4) the design of an immersive energy storage power station. This study provides insights for promoting the effectiveness of relevant safety standards for LIBs, thereby reducing the failure hazards.

The early warning for overcharge thermal runaway of lithium-ion batteries based on a composite parameter

The early warning for overcharge thermal runaway of lithium-ion batteries based on a composite parameter

Research on the operation mode of joint investment in battery energy storage station

Battery energy storage power stations have always played an important role in supporting optimal operation and providing power ancillary services, but their high investment costs and long payback period are still an economic barrier that limits their further popularization. This paper takes the power grid company as the lead investor, and constructs an economic model of multi-agent joint investment in energy storage power stations. Based on the whole life cycle cost theory, the cost model of the physical energy storage power station is established, and the optimal dispatch solution and investment income model are established for various types of investment entities. By transforming the problem of public benefit distribution in joint operation into a game problem of characteristic function, and solving based on Shapley value, a stable and reasonable distribution scheme is obtained. In the case simulation, the economic parameters such as income, payback period, and rate of return of different participants in cooperative and non-cooperative situations were compared, and the influence of factors such as participant attributes and investment amount on the income results was discussed. The results show that the operation model can effectively improve the income of each investor and shorten the cost recovery period.

Research on integrated joint supervision and control system of shared integrated substation

By analyzing the related technical specifications and principles of state and electric power industry standard for supervision and control systems of substation, energy storage power station, photovoltaic power station, electric vehicle charging station and data cen..er. This paper puts forward the structure form and function requirements of the integrated joint supervision and control system for the sharing integrated substation which adopts a hierarchical partition structure. By analyzing various types of data in the station, it aims to realize multi-type functions such as operation monitoring, fault diagnosis, multi-station control and information management of each subsystem. Considering the substation is the core of the shared integrated substation, this paper puts forward a modular design scheme of the supervision and control system. Based on the supervision and control system of the substation, it connects all kinds of the subsystem such as the monitoring systems of electric vehicle charging station, photovoltaic power station, energy storage station and data center through unified interface, standardization protocol. The subsystem modules integrate to the unified platform through the security zone, and uses the unified strategy to upload information and issue instructions. According to different application scenarios, subsystem modules can be plug and play.

Optimal site selection study of wind-photovoltaic-shared energy storage power stations based on GIS and multi-criteria decision making: A two-stage framework

Optimal site selection study of wind-photovoltaic-shared energy storage power stations based on GIS and multi-criteria decision making: A two-stage framework