f Capacity Optimization of an Isolated Renewable Energy Microgrid Using an Improved Gray Wolf Algorithm
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Research Article |

Capacity Optimization of an Isolated Renewable Energy Microgrid Using an Improved Gray Wolf Algorithm

Author(s): Jia Lu*, Fei Lu Siaw, Tzer Hwai Gilbert Thio and Junjie Wang

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 12, Issue 2

Publisher : FOREX Publication

Published : 10 June 2024

e-ISSN : 2347-470X

Page(s) : 567-574

DOI: https://doi.org/10.37391/IJEER-120231

Abstract

To achieve the goal of allocating the generation capacity of isolated renewable energy system microgrids in a stable, economical, and clean manner, an optimization model considering economic costs, environmental protection, and power supply reliability was established. Compared with the normalization of fixed weight coefficients, a dynamic adaptive parameter method was used in this study to balance the weights of economic, environmental, and stability factors in the objective function. The Levy Flight Strategy, Golden Sine Strategy, and Dynamic Inverse Learning Strategy were embedded to increase algorithm performance for optimization and simulation to address issues such as local optima, slow convergence speed, and lack of diversity commonly associated with traditional Grey Wolf Optimization algorithm. The case analysis shows that the Improved Grey Wolf Optimization algorithm effectively reduces the economic cost of microgrids, enhances environmental performance, and improves system reliability.

Keywords: Adaptive weights, Capacity optimization, Isolated renewable energy system (IRES), Improved gray wolf algorithm, Operational management strategy.




Jia Lu, Centre for Sustainability in Advanced Electrical and Electronic Systems (CSAEES), Faculty of Engineering, Built Environment and Information Technology, SEGi University, 47810 Petaling Jaya, Selangor, Malaysia; Email: lujia445884870@163.com

Fei Lu Siaw, Centre for Sustainability in Advanced Electrical and Electronic Systems (CSAEES), Faculty of Engineering, Built Environment and Information Technology, SEGi University, 47810 Petaling Jaya, Selangor, Malaysia

Tzer Hwai Gilbert Thio, Centre for Sustainability in Advanced Electrical and Electronic Systems (CSAEES), Faculty of Engineering, Built Environment and Information Technology, SEGi University, 47810 Petaling Jaya, Selangor, Malaysia

Junjie Wang, Department of Production and Environmental Protection, China Huaneng Group CO., Ltd. Shandong Branch. 250014 Jinan, Shandong, China

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Jia Lu, Fei Lu Siaw, Tzer Hwai Gilbert Thio and Junjie Wang (2024), Capacity Optimization of an Isolated Renewable Energy Microgrid Using an Improved Gray Wolf Algorithm. IJEER 12(2), 567-574. DOI: 10.37391/IJEER-120231.