Multiobjective optimal sizing of battery energy storage in grid-connected microgrid

• Main Authors: Sonam Parashar, Anil Swarnkar, Khaleequr Rehman Niazi, Nikhil Gupta
• Format: Article
• Language: English
• Published: Wiley 2019-06-01
• Series: The Journal of Engineering
• Subjects: particle swarm optimisation; distributed power generation; power generation control; topsis; battery storage plants; pso-topsis; technique for order of preference by similarity to ideal solution; particle swarm optimization; grid-connected microgrid; bes; battery energy storage; multiobjective optimal sizing
• Online Access: https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9237
• ISSN: 2051-3305

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.