Multiobjective optimal sizing of battery energy storage in grid‐connected microgrid | Zendy

Parashar Sonam | Zendy; Swarnkar Anil | Zendy; Niazi Khaleequr Rehman | Zendy; Gupta Nikhil | Zendy

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Multiobjective 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.

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