Online Voltage Control of DC Microgrids with Different Loading Conditions Using Particle Swarm Optimization

Author:

Aboelsoud Hossam1,Ikeda Naoya1,Tsuji Takao1,Hojo Masahide2,Okada Naotaka3

Affiliation:

1. Graduate School of Engineering Science, Yokohama National University 79‐1, Tokiwadai, Hodogaya‐ku Yokohama Kanagawa 240‐8501 Japan

2. Graduate School of Technology, Industrial and Social Sciences, Tokushima University 2‐1, Minami‐Josanjima Tokushima 770‐8506 Japan

3. Grid Innovation Research Laboratory, Central Research Institute of Electric Power Industry 2‐6‐1, Nagasaka Yokosuka Kanagawa 240‐0196 Japan

Funder

Waseda University

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Reference35 articles.

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3. D.ChenandL.Xu:DC microgrid with variable generations and energy storage.IET Conference on Renewable Power Generation Edinburgh pp.1–6 https://doi.org/10.1049/cp.2011.0167(2011).

4. Battery Energy Storage Station (BESS)-Based Smoothing Control of Photovoltaic (PV) and Wind Power Generation Fluctuations

5. J.MitraandM.Vallem:Determination of storage required to meet reliability guarantees on Island‐capable microgrids with intermittent sources.IEEE PES T&D Conference and Exposition Chicago IL pp.1–1 https://doi.org/10.1109/TDC.2014.6863410(2014).

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1. Optimalization Droop Control Based on Aquila Optimizer Algorithm For DC Microgrid;2022 International Seminar on Intelligent Technology and Its Applications (ISITIA);2022-07-20

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