Optimizing energy management and control of distributed generation resources in islanded microgrids

A new problem formulation for islanded microgrids (MG) is introduced and developed by employing a multi-objective function approach where the objectives include: i) fuel consumption cost, ii) voltage stability index, and iii) total voltage variation). A hybrid optimization algorithm is proposed to solve the proposed algorithm by combining the harmony algorithm (HS), mutation, and crossover operators of the genetic algorithm (GA). To find the best solution for the non-dominated results, a fuzzy logic method is employed. The performance of the proposed approach is compared with those of the other optimization and non-optimization methods in MG using 33-bus test network in a MATLAB environment. The obtained results show that the proposed algorithm is capable of: i) significantly reducing the islanded MG customer interruptions and ii) improving the islanded MGs stability. In addition, selecting appropriate parameters of droop facilitate the successful implementation of the islanded MG concept in distribution systems.