Modified Genetic Algorithm for Cost Minimization in Future Multi-Microgrid Network

Supplying load demand and achieving a balance in distribution network considering the lowest operation cost is a significant concerns of electricity distribution companies, particularly in rural or private power networks with in the single or multi microgrid system. To address the electrical load demand in multi zone-microgrid with a focus on minimizing operation cost, a Chromosome matrix [n*m] can be utilized; where “m” represents the number of generation units and “n” denotes the consumption units. A genetic algorithm has been employed to determine the optimal distribution of generation among units in the most economically efficient manner for multi-microgrid consumers. This paper presents an accurate solution for microgrids using a modified genetic algorithm, which takes into account the specific number of population members and the number of iterations across three scenarios. The modified genetic algorithm model calculates the best response by considering violation in different modes, including the island operation of microgrids in various zones, the operation of a standalone multi-microgrid system, and and connection of the multi-microgrid system to the grid. The proposed model is implemented on an IEEE 33 standard bus and determines the lowest and most precise microgrid operation cost for each mode in three cases.