Power Flow Analysis of Islanded Microgrids: A Differential Evolution Approach

Power flow (PF) analysis of microgrids (MGs) has been gaining a lot attention due to the evolution islanded MGs. To calculate MGs’ PF solution, globally convergent technique is proposed using Differential Evolution (DE)- popular optimization algorithm for global non-convex optimization. This paper formulates problem as constrained (COP) considering all operating conditions Droop Controlled Islanded MGs (DCIMGs). solve COP, $\epsilon $ DE-NGM, (Epsilon based with Newton-Gauss-based mutation) proposed. The algorithm, novel variant DE since it comprises mutation operator, (NGM). NGM includes important features DE’s strategies well reduces constraint violation by utilizing information constraint-space. Numerical experiments validate that convergence ability algorithms in solving COPs than existing state-of-the-art algorithms. Furthermore, tool better robustness tools on ill- and well-conditioned systems heavy loads, different limit violations, inappropriate final solutions (far from flat start). performed comparative confirms good agreement accuracy efficacy method MG’s PF.