Open AccessMultiobjective optimal sizing of battery energy storage in grid‐connected microgrid
Author(s) -
Parashar Sonam,
Swarnkar Anil,
Niazi Khaleequr Rehman,
Gupta Nikhil
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.9237
Subject(s) - microgrid , sizing , battery (electricity) , computer science , energy storage , grid , battery storage , automotive engineering , reliability engineering , environmental science , mathematical optimization , engineering , mathematics , power (physics) , chemistry , physics , geometry , quantum mechanics , organic chemistry
This work proposes a new multiobjective framework for the sizing of Battery Energy Storage (BES) for grid‐connected microgrid. A combined Particle Swarm Optimization and Technique for Order of Preference by Similarity to Ideal Solution (PSO‐TOPSIS) is explored to solve the formulated problem. A grid‐connected microgrid consisting of various renewable sources and BES is considered as a test system. The results obtained are found to be promising. A trade‐off between the formulated objectives is presented and analysed.