Design and advanced control strategies of a hybrid energy storage system for the grid integration of wind power generations

被引:88
作者
Wang, Shu [1 ]
Tang, Yuejin [1 ]
Shi, Jing [1 ]
Gong, Kang [1 ]
Liu, Yang [1 ]
Ren, Li [1 ]
Li, Jingdong [1 ]
机构
[1] Huazhong Univ Sci & Technol, State Key Lab Adv Electromagnet Engn & Technol, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金;
关键词
GENETIC ALGORITHMS; FUZZY CONTROL; FUEL-CELL; BATTERY; OPTIMIZATION;
D O I
10.1049/iet-rpg.2013.0340
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Energy storage (ES) has become increasingly important in modern power system, whereas no single type of ES element can satisfy all diverse demands simultaneously. This study proposes a hybrid energy storage system (HESS) based on superconducting magnetic energy storage (SMES) and battery because of their complementary characteristics for the grid integration of wind power generations (WPG). This study investigates the mathematical model and the topology of the proposed HESS, which is equipped with a grid-side DC/AC converter, a battery buck/boost converter and a SMES DC chopper. The advanced control strategies comprised of device level and system level are designed. The control strategy for the converters which can be considered as device level is briefly discussed. The significant contribution of this study is proposing a novel system-level control strategy for reasonable and effective power allocation between SMES and battery. According to the control objectives, a fuzzy logic controller optimised with genetic algorithm is adopted. The detailed controller designs are described, meanwhile system stability and HESS operation performance are evaluated. MATLAB simulations are presented to demonstrate the effectiveness of the proposed strategies.
引用
收藏
页码:89 / 98
页数:10
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