Open AccessSiting and sizing method of energy storage system of microgrid based on power flow sensitivity analysis
Author(s) -
Wang Haifeng,
Lv Qing,
Yang Geng,
Geng Hua
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0674
Subject(s) - sizing , sensitivity (control systems) , microgrid , power flow , energy storage , flow (mathematics) , computer science , power (physics) , energy flow , energy (signal processing) , environmental science , automotive engineering , electric power system , electrical engineering , engineering , voltage , mathematics , electronic engineering , chemistry , physics , geometry , organic chemistry , statistics , quantum mechanics
Energy storage system (ESS) plays a power balance role in a microgrid integrated with many distributed renewable generators, but the cost and the lifetime of ESS like battery pack are weighted against the mass application, so it is of great significance to improve the efficiency of ESS. This study proposes a sitting and sizing method of ESS based on power flow analysis and multi‐objective optimisation. The method focuses on the optimal solution in terms of the control performance, line power losses and capacity of the ESS. A design process based on power flow sensitivity is described at the same time. A ten‐node microgrid model is selected for the validation of the method and simulations show the effectiveness.