Open Access

ARTICLE

Optimizing Microgrid Energy Management via DE-HHO Hybrid Metaheuristics

Jingrui Liu^1,2,*, Zhiwen Hou^1,2, Boyu Wang^1,2, Tianxiang Yin^3,4

1 Chongqing University-University of Cincinnati Joint Co-op Institute, Chongqing University, Chongqing, 400044, China
2 Department of Electrical and Computer Engineering, University of Cincinnati, Cincinnati, OH 45221, USA
3 National Elite Institute of Engineering, Chongqing University, Chongqing, 401135, China
4 School of Life Sciences, Chongqing University, Chongqing, 401331, China

* Corresponding Author: Jingrui Liu. Email:

(This article belongs to the Special Issue: Advancements in Evolutionary Optimization Approaches: Theory and Applications)

Computers, Materials & Continua 2025, 84(3), 4729-4754. https://doi.org/10.32604/cmc.2025.066138

Received 31 March 2025; Accepted 29 May 2025; Issue published 30 July 2025

Abstract

In response to the increasing global energy demand and environmental pollution, microgrids have emerged as an innovative solution by integrating distributed energy resources (DERs), energy storage systems, and loads to improve energy efficiency and reliability. This study proposes a novel hybrid optimization algorithm, DE-HHO, combining differential evolution (DE) and Harris Hawks optimization (HHO) to address microgrid scheduling issues. The proposed method adopts a multi-objective optimization framework that simultaneously minimizes operational costs and environmental impacts. The DE-HHO algorithm demonstrates significant advantages in convergence speed and global search capability through the analysis of wind, solar, micro-gas turbine, and battery models. Comprehensive simulation tests show that DE-HHO converges rapidly within 10 iterations and achieves a 4.5% reduction in total cost compared to PSO and a 5.4% reduction compared to HHO. Specifically, DE-HHO attains an optimal total cost of $20,221.37, outperforming PSO ($21,184.45) and HHO ($21,372.24). The maximum cost obtained by DE-HHO is $23,420.55, with a mean of $21,615.77, indicating stability and cost control capabilities. These results highlight the effectiveness of DE-HHO in reducing operational costs and enhancing system stability for efficient and sustainable microgrid operation.

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Keywords

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