Heuristic Algorithms on Economic Dispatch of Multi-Microgrids with Photovoltaics

Year 2022, Volume: 2 Issue: 2, 147 - 157, 31.10.2022

Esra Aydın Mikail Pürlü Belgin Türkay

https://doi.org/10.5152/tepes.2022.22008

https://izlik.org/JA88KE22XM

Abstract

In this study, an application for economic load dispatch of multi-microgrid systems has been solved by meta-heuristic methods such as particle swarm optimi-zation and genetic algorithm. The solution to the economic dispatch problem should both provide the optimum cost schedule and satisfy the power system constraints. Multi-microgrid system in this study consists of four fuel-based power generation units and two microgrids with photovoltaic panels as renewable energy sources. Simulations were carried out in two case studies, with and without microgrids. While both proposed methods gave better results than the literature study, the best solution was presented by particle swarm optimization with dollar 106583.7/day and dollar 108395.3/day for the systems with and without microgrids, respectively. The simulation results show that both algorithms achieve optimum and reliable results. Multi-microgrids with renewable energy resources increase system reliability and power quality and decrease emissions, transmission losses, and operating costs.

Keywords

Economic load dispatch , genetic algorithm , multi-microgrids , particle swarm optimization , photovoltaics.

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