Turkish Journal of Electrical
Power and Energy Systems
Research Article

Heuristic Algorithms on Economic Dispatch of Multi-Microgrids with Photovoltaics

1.

Department of Electrical Engineering, İstanbul Technical University, İstanbul, Turkey

Turkish Journal of Electrical Power and Energy Systems 2022; 2: 147-157
DOI: 10.5152/tepes.2022.22008
Read: 393 Downloads: 154 Published: 10 June 2022

In this study, an application for economic load dispatch of multi-microgrid systems has been solved by meta-heuristic methods such as particle swarm optimization 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 $106583.7/day and $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.

Cite this article as: E. Aydın, M. Pürlü & B. E. Türkay. Heuristic algorithms on economic dispatch of multi-microgrids with photovoltaics. Turk J Electr Power Energy Syst, 2022; 2(2), 147-157.

Files
EISSN 2791-6049