A new multi-objective human learning algorithm for environmental-economic dispatch of power systems

IF 4.2 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Electric Power Systems Research Pub Date : 2025-04-16 DOI:10.1016/j.epsr.2025.111687

Chuanliang Cheng , Yuanjie Fang , Jing Wang , Chen Peng

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引用次数: 0

Abstract

The aim of environmental-economic dispatch (EED) is to balance power supply and demand, optimizing both economic and environmental factors. It involves a complex multi-objective optimization with conflicting goals and numerous variables, where traditional methods face issues with local optima and solution diversity. To overcome these challenges, this paper introduces a new multi-objective human learning optimization (MOHLO) algorithm. The diversity of the pareto-optimal front is enhanced through a crowding distance metric, thereby reducing the risk of convergence to local optima. In addition, mechanisms for handling dominance resistant solutions and eliminating sub-optimal solutions based on the pareto approximate midpoint are introduced to identify and discard weak solutions, thus improving the overall quality of the solution set. Finally, the algorithm is tested on a EED model in power systems. By compared with the comparative algorithms, the proposed algorithm achieved a maximum improvement of 31.01% in pure diversity and 6.27% improvement in hypervolume. These enhancements significantly optimized the uniformity of the solution set and overall performance, providing superior decision support for power system dispatch.

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电力系统环境经济调度的一种新的多目标人工学习算法

环境经济调度的目标是平衡电力供需，优化经济和环境因素。该问题涉及目标冲突、变量众多的复杂多目标优化问题，传统方法存在局部最优和解多样性问题。为了克服这些挑战，本文引入了一种新的多目标人类学习优化（MOHLO）算法。通过拥挤距离度量增强了pareto最优前沿的多样性，从而降低了收敛到局部最优的风险。此外，引入了基于pareto近似中点的优势抗解处理和次优解消除机制，以识别和丢弃弱解，从而提高了解集的整体质量。最后，在一个电力系统的EED模型上对算法进行了验证。与比较算法相比，该算法在纯多样性和超容量方面的最大改进率分别为31.01%和6.27%。这些增强功能显著优化了解决方案集的一致性和整体性能，为电力系统调度提供了卓越的决策支持。

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来源期刊

Electric Power Systems Research 工程技术-工程：电子与电气

CiteScore

7.50

自引率

17.90%

发文量

963

审稿时长

3.8 months

期刊介绍： Electric Power Systems Research is an international medium for the publication of original papers concerned with the generation, transmission, distribution and utilization of electrical energy. The journal aims at presenting important results of work in this field, whether in the form of applied research, development of new procedures or components, orginal application of existing knowledge or new designapproaches. The scope of Electric Power Systems Research is broad, encompassing all aspects of electric power systems. The following list of topics is not intended to be exhaustive, but rather to indicate topics that fall within the journal purview. • Generation techniques ranging from advances in conventional electromechanical methods, through nuclear power generation, to renewable energy generation. • Transmission, spanning the broad area from UHV (ac and dc) to network operation and protection, line routing and design. • Substation work: equipment design, protection and control systems. • Distribution techniques, equipment development, and smart grids. • The utilization area from energy efficiency to distributed load levelling techniques. • Systems studies including control techniques, planning, optimization methods, stability, security assessment and insulation coordination.