Compensation for the Power Fluctuation of the Large Scale Wind Farm Using Hybrid Energy Storage Applications

2012 ◽  
Vol 22 (3) ◽  
pp. 5701904-5701904 ◽  
Author(s):  
Hansang Lee ◽  
Byoung Yoon Shin ◽  
Sangchul Han ◽  
Seyong Jung ◽  
Byungjun Park ◽  
...  
Keyword(s):  
Energy Storage ◽  
Large Scale ◽  
Wind Farm ◽  
Power Fluctuation ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Energy Storage Applications

Hybrid Energy Storage System to Stabilize the Power Fluctuation of Wind Power

2012 ◽  
Vol 608-609 ◽  
pp. 487-493 ◽  
Author(s):  
Zuo Xia Xing ◽  
Guan Feng Zhang ◽  
Jin Song Liu ◽  
Xing Jia Yao
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Wind Farm ◽  
Reactive Power ◽  
Power Grid ◽  
Storage System ◽  
Energy Storage System ◽  
Power Fluctuation ◽  
Hybrid Energy ◽  
Hybrid Energy Storage

Since distributed power generation equipment such as wind power contain electric power fluctuation connected into the power grid, hybrid energy storage (HESS) equipment for power compensation is used to solve the problems of reliability and operation of the utility power grid. Constant power control and Fuzzy-Rules-based control of AC-DC and BESS is proposed for smoothing the random wind power fluctuations, considering the operating constraints of the HESS, such as state of charge (SOC) and wind power (Pout). The simulation is accomplished by using a 9MW wind farm and the HESS in Matlab, The results show that by the proposed control methods of the bi-directional DC-DC converter and the DC-AC converter, the energy storage system can smooth the wind power outputs and provide reactive power support to the grid.

An Active-Parallel Hybrid Energy Storage System Applied for Regulating Fluctuant Wind Power

2011 ◽  
Vol 347-353 ◽  
pp. 2869-2874
Author(s):  
Peng Yu ◽  
Ogidi Stephen Oodo ◽  
He Ping Zou ◽  
Dong Wang ◽  
Hui Sun
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Wind Farm ◽  
Storage System ◽  
Energy Storage System ◽  
Power Fluctuation ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System ◽  
Parallel Hybrid

In this paper, the wind power fluctuation is divided into three categories. For the purpose of balancing all kinds of wind power fluctuation to enhance the penetration levels of wind power, we propose an active-parallel hybrid energy storage system (APHESS). The APHESS is composed of a battery, a supercapacitor, and two charge-discharge controllers. By combining the battery with the supercapacitor, the APHESS obtains the enhanced energy storage performance. Therefore, the investment cost can be reduced. By the reasonable design on the operation mode of APHESS, the APHESS can interchange power precisely with the wind power system. Furthermore, the battery and supercapacitor can suppress separately different kinds of wind power fluctuation to make their own energy storage properties fully utilized. The APHESS can be widely used in wind farm for the real-time regulation on wind power

scholarly journals Model Predictive Control Method of hybrid Battery energy storage system for Smoothing Wind Power Fluctuation

2020 ◽  
Vol 194 ◽  
pp. 02003
Author(s):  
Li Jianlin ◽  
Tan Yuliang
Keyword(s):  
Energy Storage ◽  
Model Predictive Control ◽  
Wind Power ◽  
Predictive Control ◽  
Wind Farm ◽  
Control Method ◽  
Switching Frequency ◽  
Power Fluctuation ◽  
Hybrid Energy ◽  
Hybrid Energy Storage

In a large-scale wind power generation system, active power fluctuation caused by random wind speed will have a serious impact on the power grid. In order to limit the power fluctuation that wind farm transmits to the power grid and protect the energy storage battery, this paper has proposed a model predictive control method of hybrid energy storage by optimizing the objective function and constraint conditions. Firstly, the mathematical model of predictive control method has been established in a wind power system with hybrid energy storage. Then, with the goal of minimum energy storage output and maximum charging-discharging capacity of the super-capacitor, the predictive control process has been optimized. Meanwhile, the constraint on the output power of the battery has been dynamically changed to reduce its charging-discharging switching frequency, and the model predictive control strategy of the hybrid energy storage has been formed. Finally, compared with the model prediction control method of single energy storage, based on a wind farm data, the simulation results show that the proposed method can smooth wind power fluctuation, reduce the time that the power does not satisfy the fluctuation requirements, ensure the capability of the super-capacitor, and reduce the charging-discharging switching frequency of the energy storage battery.

scholarly journals Research on capacity optimization of micro-grid hybrid energy storage system based on simulated annealing artificial fish swarm algorith with memory function

2020 ◽  
Vol 185 ◽  
pp. 01023
Author(s):  
Yuan An ◽  
Jianing Li ◽  
Cenyue Chen
Keyword(s):  
Simulated Annealing ◽  
Energy Storage ◽  
Large Scale ◽  
Memory Function ◽  
Storage System ◽  
Energy Storage System ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System ◽  
With Memory

The intermittence and uncertainty of wind power and photovoltaic power have hindered the large-scale development of both. Therefore, it is very necessary to properly configure energy storage devices in the wind-solar complementary power grid. For the hybrid energy storage system composed of storage battery and supercapacitor, the optimization model of hybrid energy storage capacity is established with the minimum comprehensive cost as the objective function and the energy saving and charging state as the constraints. A simulated annealing artificial fish school algorithm with memory function is proposed to solve the model. The results show that the hybrid energy storage system can greatly save costs and improve system economy.

scholarly journals A Capacity Configuration Control Strategy to Alleviate Power Fluctuation of Hybrid Energy Storage System Based on Improved Particle Swarm Optimization

Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 642 ◽  
Author(s):  
Tiezhou Wu ◽  
Xiao Shi ◽  
Li Liao ◽  
Chuanjian Zhou ◽  
Hang Zhou ◽  
...  
Keyword(s):  
Energy Storage ◽  
Objective Function ◽  
Control Strategy ◽  
Storage System ◽  
Particle Swarm ◽  
Energy Storage System ◽  
Power Fluctuation ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System

In view of optimizing the configuration of each unit’s capacity for energy storage in the microgrid system, in order to ensure that the planned energy storage capacity can meet the reasonable operation of the microgrid’s control strategy, the power fluctuations during the grid-connected operation of the microgrid are considered in the planning and The economic benefit of hybrid energy storage is quantified. A multi-objective function aiming at minimizing the power fluctuation on the DC bus in the microgrid and optimizing the capacity ratio of each energy storage system in the hybrid energy storage system (HESS) is established. The improved particle swarm algorithm (PSO) is used to solve the objective function, and the solution is applied to the microgrid experimental platform. By comparing the power fluctuations of the battery and the supercapacitor in the HESS, the power distribution is directly reflected. Comparing with the traditional mixed energy storage control strategy, it shows that the optimized hybrid energy storage control strategy can save 4.3% of the cost compared with the traditional hybrid energy storage control strategy, and the performance of the power fluctuation of the renewable energy is also improved. It proves that the proposed capacity configuration of the HESS has certain theoretical significance and practical application value.

Sign in / Sign up

Export Citation Format

Share Document