Energy Storage Capacity Configuration Research Articles

Optimal Configuration of Energy Storage Capacity on PV-Storage-Charging Integrated Charging Station

The rational allocation of a certain capacity of photovoltaic power generation and energy storage systems(ESS) with charging stations can not only promote the local consumption of renewable energy(RE) generation, but also participate in the energy market through new energy generation systems and ESS for arbitrage. In this paper, a system operation strategy is formulated for the optical storage and charging integrated charging station, and an ESS capacity allocation method is proposed that considers the peak and valley tariff mechanism. First, the system modeling of the photovoltaic storage and charging station is carried out, the topology structure is analyzed and the cost model of photovoltaic power generation and ESS and dispatching is established; second, the energy flow of the photovoltaic storage and charging station is analyzed and the system operation strategy is formulated; then, the optimal model of ESS capacity configuration is established with the goal of obtaining the maximum benefit from the photovoltaic storage and charging station under the peak and valley electricity price environment; finally, the optimal ESS capacity configuration of the photovoltaic storage and charging station is analyzed based on specific cases and the impact of the change of ESS price on the optimal capacity configuration is discussed.

Research on Energy Storage Capacity Allocation Technology of PV-Storage Microgrid for Balancing Source-Load Power

The low matching degree of photovoltaic output and load in the pv-storage microgrid will reduce the reliability of its power supply. Therefore, it is necessary to configure a certain capacity energy storage device to support source-load balance.This article first analyzes the impact of different load configurations and application scenarios on energy storage configuration, and then proposes an energy storage capacity configuration scheme with the minimum operating cost of the microgrid as the objective function and the constraints of the minimum power fluctuation in the network, and uses an improved particle swarm algorithm solve the solution. Finally, a numerical example is used to verify that the solution can stably support the source-load balance in the microgrid, reduce the power exchange at the common connection point of the microgrid, and improve the microgrid’s own power supply capacity.

Capacity allocation of HESS in micro-grid based on ABC algorithm

Abstract The hybrid energy storage system (HESS) is a key component for smoothing fluctuation of power in micro-grids. An appropriate configuration of energy storage capacity for micro-grids can effectively improve the system economy. A new method for HESS capacity allocation in micro-grids based on the artificial bee colony (ABC) algorithm is proposed. The method proposed a power allocation strategy based on low pass filter (LPF) and fuzzy control. The strategy coordinates battery and supercapacitor operation and improves the battery operation environment. The fuzzy control takes the state of charge (SOC) of the battery and supercapacitors as the input and the correction coefficient of the time constant of the LPF filter as the output. The filter time constant of the LPF is timely adjusted, and the SOC of the battery and supercapacitor is stable within the limited range so that the overcharge and over-discharge of the battery can be avoided, and the lifetime of the battery is increased. This method also exploits sub-algorithms for supercapacitors and battery capacity optimization. Besides, the Monte Carlo simulation of the statistic model is implemented to eliminate the influence of uncertain factors such as wind speed, light intensity and temperature. The ABC algorithm is used to optimize the capacity allocation of hybrid energy storage, which avoids the problem of low accuracy and being easy to fall into the local optimal solution of the supercapacitors and battery capacity allocation sub-algorithms, and the optimal allocation of the capacity of the HESS is determined. By using this method, the number of supercapacitors required for the HESS is unchanged, and the number of battery is reduced from 75 to 65, which proves the rationality and economy of the proposed method.

Energy Storage Capacity Configuration of Photovoltaic Power Station in High Source-to-Charge Local Power Grid

Energy Storage Capacity Configuration of Photovoltaic Power Station in High Source-to-Charge Local Power Grid

Microgrid Development in China: A method for renewable energy and energy storage capacity configuration in a megawatt-level isolated microgrid

In recent years, the microgrid has rapidly developed because of its advantages, such as easy integration of distributed renewable energy and flexibility in operation. The megawatt (MW)-level isolated microgrid, which is composed of photovoltaic (PV)/wind units, energy storage, and diesel/gas units, can solve power supply problems for remote areas without electricity; therefore, more countries and regions are developing this type of microgrid project. However, the cost of the microgrid is high and the microgrid control system is complicated, so economic and stability control issues have restricted the development of a large-scale isolated microgrid.

A Novel Method for Fast Configuration of Energy Storage Capacity in Stand-Alone and Grid-Connected Wind Energy Systems

In this paper, a novel method is proposed and applied to quickly calculate the capacity of energy storage for stand-alone and grid-connected wind energy systems, according to the discrete Fourier transform theory. Based on practical wind resource data and power data, which are derived from the American Wind Energy Technology Center and HOMER software separately, the energy storage capacity of a stand-alone wind energy system is investigated and calculated. Moreover, by applying the practical wind power data from a wind farm in Fujian Province, the energy storage capacity for a grid-connected wind system is discussed in this paper. This method can also be applied to determine the storage capacity of a stand-alone solar energy system with practical photovoltaic power data.

Research and Application of Energy Storage Battery on Stabilizing Fluctuation Characteristics of Photovoltaic Power System

Photovoltaic power generation is clean, non-polluting, inexhaustible, but its characteristics of randomness, volatility and intermittent also produce its negative effects on power system economic, safe and reliable operation, which cannot be ignored. Storage battery in photovoltaic power generation system can not only absorb excess energy reserves, but also can stabilize the fluctuation, cut a peak to fill the valley and the stable voltage, it is very important and key part, At the same time, the energy storage capacity of the rational allocation of system not only for the photovoltaic power generation system of construction cost, also affects the performance and the service life of the system. This paper is based on the amount of solar radiation data of Liaoning area, proposed the hypothesis that PV fluctuation characteristics accord with normal distribution characteristics ,and fitted by normal distribution probability density function, verified the assumption of normal distribution, and proposed a selection strategy of energy storage power based on the normal distribution, Established mathematical model of battery energy storage capacity configuration, and regards the total power standard deviation, fluctuation of power capacity and power fluctuation rate as evaluation indicators to measure the effects of the long-term and short-term fluctuation of the storage battery on stabilizing fluctuation of photovoltaic power generation , through the examples and simulation proved that the model is correct and reasonable.

A Study of Distributed Photovoltaic Energy Storage Configuration Capacity

In order to solve the problem of storage capacity configuration in distributed photovoltaic energy, firstly a brief introduction of the storage methods in distributed PV (photovoltaic) energy is given out. Then it mainly discusses the configuration mode of distributed photovoltaic battery energy storage capacity within a variety of methods and principles of the research situation. And their advantages and disadvantages are analyzed in detail. Finally, the energy storage capacity configuration problems to be solved in the future development and its application should be made to focus on the aspect shortly.

The Optimal Energy Storage Capacity Configuration of Photovoltaic Generation under Changing Meteorological Conditions

In the paper, energy storage system and charge and discharge control strategy for large-scale photovoltaic generation are designed. The optimal energy storage capacity is configurated for PV array. The energy storage system and control module for PV generation are built in MATLAB-Simulink platform. Supercapacitor (SC) is the energy storage element. Considering the insolation and temperature under the changing meteorological conditions, the output power would be fluctuant. By controlling MOSFET switches based on power signal, SC will charge when the lighting is adequate and discharge in the instance of lack of light to keep DC bus voltage in constant. Configuring the optimal energy storage capacity by simulation, the result proves that the control strategy is feasible and the configuration is optimal.