Open AccessOptimal placement of battery energy storage in distribution networks considering conservation voltage reduction and stochastic load composition
Author(s) -
Zhang Yongxi,
Ren Shuyun,
Dong Zhao Yang,
Xu Yan,
Meng Ke,
Zheng Yu
Publication year - 2017
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2017.0508
Subject(s) - sizing , voltage reduction , renewable energy , reduction (mathematics) , energy conservation , computer science , energy storage , mathematical optimization , software deployment , voltage , reliability engineering , battery (electricity) , power (physics) , energy management , automotive engineering , energy (signal processing) , engineering , electrical engineering , mathematics , physics , geometry , art , statistics , quantum mechanics , visual arts , operating system
Deployment of battery energy storage (BES) in active distribution networks (ADNs) can provide many benefits in terms of energy management and voltage regulation. In this study, a stochastic optimal BES planning method considering conservation voltage reduction (CVR) is proposed for ADN with high‐level renewable energy resources. The proposed method aims to determine the optimal BES sizing and location to minimise the total investment and operation cost considering energy saving achieved by CVR, while satisfying system operational constraints in the presence of stochastic renewable power generation. The uncertainty of load composition is also modelled through scenario analysis. The proposed planning scheme is tested in a modified IEEE 15‐bus system and 43‐bus radial system, respectively. The numerical results validate that the combination of CVR and BES can achieve more energy savings.