Optimal placement of battery energy storage in distribution networks considering conservation voltage reduction and stochastic load composition

• Published in: IET generation, transmission & distribution Vol. 11; no. 15; pp. 3862 - 3870
• Main Authors: Zhang, Yongxi, Ren, Shuyun, Dong, Zhao Yang, Xu, Yan, Meng, Ke, Zheng, Yu
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 01.10.2017; Wiley
• Subjects: active distribution networks; ADN; battery management systems; BES deployment; conservation voltage reduction; CVR; distributed power generation; energy conservation; energy management; energy management systems; energy saving; high‐level renewable energy resources; investment; load (electric); load composition uncertainty; minimisation; modified IEEE 15‐bus system; modified IEEE 43‐bus radial system; operation cost minimisation; optimal battery energy storage placement; optimal BES location; optimal BES sizing; photovoltaic power systems; planning scheme; power distribution economics; power distribution planning; Research Article; stochastic load composition; stochastic optimal BES planning method; stochastic processes; stochastic renewable power generation; system operational constraints; total investment minimisation; voltage control; voltage regulation; wind power; high-level renewable energy resources; power distribution planning; optimal BES location; distributed power generation; ADN; voltage regulation; operation cost minimisation; load (electric); optimal battery energy storage placement; energy management; stochastic processes; total investment minimisation; stochastic optimal BES planning method; planning scheme; conservation voltage reduction; optimal BES sizing; modified IEEE 15-bus system; photovoltaic power systems; investment; power distribution economics; stochastic load composition; battery management systems; energy saving; load composition uncertainty; wind power; energy management systems; modified IEEE 43-bus radial system; system operational constraints; energy conservation; active distribution networks; minimisation; stochastic renewable power generation; BES deployment; CVR; voltage control
• ISSN: 1751-8687; 1751-8695
• DOI: 10.1049/iet-gtd.2017.0508

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.