Open AccessOptimal allocation of battery energy storage systems in distribution networks with high wind power penetration
Author(s) -
Zhang Yongxi,
Dong Zhao Yang,
Luo Fengji,
Zheng Yu,
Meng Ke,
Wong Kit Po
Publication year - 2016
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
ISSN - 1752-1424
DOI - 10.1049/iet-rpg.2015.0542
Subject(s) - wind power , penetration (warfare) , energy storage , battery storage , electrical engineering , computer science , distributed generation , stand alone power system , power (physics) , automotive engineering , battery (electricity) , renewable energy , engineering , physics , operations research , quantum mechanics
In recent years, the battery energy storage system (BESS) has been considered as a promising solution for mitigating renewable power generation intermittencies. This study proposes a stochastic planning framework for the BESS in distribution networks with high wind power penetrations, aiming to maximise wind power utilisation while minimise the investment and operation costs. In the proposed framework, the uncertainties in wind power output and system load are modelled by the Monte–Carlo simulation, and a chance‐constrained stochastic optimisation model is formulated to optimally determine the location and capacity of BESS while ensuring wind power utilisation level. Then, the Monte–Carlo simulation embedded differential evolution algorithm is used to solve the problem. Simulation studies performed on a 15‐bus radial distribution system prove the efficiency of the proposed method.