imbalance power in isolated microgrids has been analyzed. Based on discrete Fourier transform(DFT)
the imbalance power is decoupled into day and hour components
which can be balanced by compressed-air energy storage and sodium-sulfur cell
respectively. In order to obtain the optimal components
the DFT segmentation principle is studied. By considering investment and operating cost including energy storage
loss of load and wind abandoning penalty comprehensively
the capacity optimization model of hybrid storage systems for isolated microgrids is built. This model can simultaneously optimize the DFT segment point and the hybrid energy storage capacity. And its solving complexity has been greatly simplified as the model can thoroughly decouple the configuration optimization of compressed-air energy storage and sodium-sulfur cell. Finally
the correctness of the model and the method has been verified in a certain practical microgrid. This work is supported by National Natural Science Foundation of China(No. 51307185)
Fundamental Research Funds for the Central Universities(No. CDJPY12150002)and China Southern Power Grid Company Limited(No. K-GZ2013-468).
Modeling and Planning Strategy for Centralized-Distributed Hybrid Compressed Air Energy Storage Station
Optimal Scheduling of DC Distribution Network Considering Hydrogen-Power Hybrid Energy Storage
基于分层控制的光—储—燃直流供电系统能量管理方法
提升火电机组AGC性能的混合储能优化控制与容量规划
Related Author
QIAO Xin
LI Yongyue
ZHAN Shuo
LI Junhui
SHA Qianli
YAN Gangui
YIN Binxin
MIAO Shihong
Related Institution
Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University)
Sichuan Energy Internet Research Institute, Tsinghua University
Department of Electrical Engineering, Tsinghua University
State Key Laboratory of Advanced Electromagnetic Engineering and Technology(Huazhong University of Science and Technology)
School of Electrical and Electronic Engineering, Huazhong University of Science and Technology