Capacity Optimization for Hybrid SMES-BES used in Dynamic Voltage Restorer

被引：0
|
作者：
Huang, Chun-Jun [1 ]
Xiao, Xian-Yong [1 ]
Zheng, Zi-Xuan [1 ]
Li, Chang-Song [1 ]
机构：
[1] Sichuan Univ, Coll Elect Engn & Informat Technol, Chengdu, Sichuan, Peoples R China
来源：
2017 1ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2017 17TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE) | 2017年
关键词：
hybrid energy storage; DVR; life cycle cost theory; capacity optimization; PSO; PARTICLE SWARM OPTIMIZATION; BATTERY LIFETIME; ENERGY-STORAGE; SYSTEM;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In order to reduce the cost of dynamic voltage restorer (DVR), this paper proposes a capacity optimization modeling of hybrid Superconducting Magnetic Energy Storage (SMES) and Battery Energy Storage (BES) system in DVR based on the Life Cycle Cost (LCC) theory. The mathematical model is established by considering the LCC as the objective function, the state of charge (SOC) and the output power as the constraint conditions. Besides, the particle swarm optimization (PSO) algorithm is adopted to compute the model. Finally, based on cost comparison of three kinds of energy storage system and compensation performance test of DVR with SMES-BES during voltage sag with 50% specified in the SEMI F47 Testing curve, the technical and economical rationality of the capacity optimization scheme of hybrid energy storage is demonstrated.
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页数：5
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