A hybrid energy storage system(HESS)consisting of battery and super capacitor is developed to mitigate wind power fluctuation and realize smooth integration of wind power. According to the fluctuation characteristics of wind power in different output scenarios
and considering the grid regulations on wind power volatility and the performance characteristics of HESS
a novel self-adaptive wavelet packet decomposition and HESS primary power distribution method is proposed
which can yield wind power grid-connected values and HESS primary power instructions. Then the HESS primary power instruction will be given secondarymodification using fuzzy optimal control inside HESS according to the state of charge(SOC)of the super capacitor
and the final HESS power distribution instruction can be determined. Simulation results show that the proposed strategy is able to achieve optimal decomposition and rational distribution of wind power
ensure the SOC of HESS working within the reasonable range
effectively improve the smoothing effect of wind power output fluctuation
and guarantee long-term stable operation of the HESS.
Adaptive Adjustment Method for Grid-forming Energy Storage Parameters Based on Buffer Functions and Damping Switching
Optimal Dynamic Response Strategy for Supercapacitor Participating in Wind Power Frequency Regulation
Review on Research of Modeling and Simulation for Wind Power Generation in Power System
Dynamic Estimation of Primary Frequency Regulation Capability of Doubly-fed Wind Turbines Using Rotor Kinetic Energy
Related Author
XIONG Xiong
CUI Yang
MA Boyu
DAI Hanyang
ZHAO Yuting
MA Xin
LI Jinghua
AO Guojin
Related Institution
College of Information and Electrical Engineering, China Agriculture University
Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University)
China Electric Power Research Institute
Electric Power Research Institute of State Grid Ningxia Electric Power Co., Ltd.
Key Laboratory of Guangxi Electric Power System Optimization and Energy-saving Technologys (Guangxi University)