Multi-objective Metaheuristics' Challenges in the Optimization of Microgrids Planning and Management

被引：0

作者：

Salgueiro, Yamisleydi ^{[1
]}

Rivera, Marco ^{[2
]}

Napoles, Gonzalo ^{[3
]}

机构：

[1] Univ Talca, Fac Ingn, Dept Ciencias Comp, Campus Curico, Curico, Maule, Chile

[2] Univ Talca, Fac Ingn, Dept Electromecan & Convers Energia, Campus Curico, Curico, Maule, Chile

[3] Hasselt Univ, Fac Business Econ, Hasselt, Belgium

来源：

2019 IEEE CHILEAN CONFERENCE ON ELECTRICAL, ELECTRONICS ENGINEERING, INFORMATION AND COMMUNICATION TECHNOLOGIES (CHILECON) | 2019年

关键词：

Microgrid; Multi-objective Optimization; P-metaheuristics; Renewable Energy; EVOLUTIONARY ALGORITHMS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Microgrids are essentially an aggregation concept in low-voltage grids with a high penetration of renewable energy sources. During the last years, we observed a rise in the use of multi-objective metaheuristics in the optimization of microgrids' planning and operation. In this paper, we survey the technical elements of multi-objective metaheuristics, essential for the construction of robust solutions and often ignored by researchers. We identified the main problems of the multi-objective metaheuristics applications in the microgrids' planning and management, and provide explanatory comments and recommendations based on experimental studies and previous works. Additionally, we offer suggestions for comparisons between multi-objective metaheuristics. This work serves as a guide for researchers in the area and will allow obtaining increasingly robust solutions.

引用

页数：6

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