Multi-objective Assessment of Wind/BES Siting and Sizing in Electric Distribution Network

被引：1
|
作者：
Kasturi, Kumari [1 ]
Nayak, M. R. [1 ]
机构：
[1] Siksha o Anusandhan Univ, Dept Elect Engn, Bhubaneswar 751030, Odisha, India
来源：
PROGRESS IN COMPUTING, ANALYTICS AND NETWORKING, ICCAN 2017 | 2018年 / 710卷
关键词：
Distribution system; Battery energy storage; Genetic algorithm; Wind; GENERATION; OPTIMIZATION;
D O I：
10.1007/978-981-10-7871-2_39
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper presents a multi-objective genetic algorithm (MOGA), which is used to allocate the wind/battery energy storage (BES) considering the annual operating cost and annual cost of power loss incorporated with distribution system. The developed platform is implemented on 69-bus radial distribution system (RDS) considering intermittent renewable power as wind which is supported by battery energy storage to overcome the power deficit. An efficient battery management strategy is adopted to prevent overcharging/discharging of the battery. The achieved results signify the high potential of optimizing algorithm for the studied system objectives and enhancing the techno-economics of the distribution system using MOGA.
引用
收藏
页码：407 / 418
页数：12
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