Optimal management of microgrids including photovoltaic/wind/diesel using GPSO-GM algorithm

farzad arefi¹ shabnam ruzbehi²

1) iran, islamic azad university of hamedan. email:
2) iran, islamic azad university of hamedan. email:

Publication : 3rd International Conference On Research Science And Technology(3rstconf.com)
Abstract :
Renewable energy sources (RES) technologies can provide energy solutions to some customers that are more cost-effective, more environmentally friendly, or provide higher power quality or reliability than conventional solutions. In this paper a photovoltaic/wind/diesel independent hybrid system is proposed for supplying the demand of an autonomous microgrid. Wind-Turbine Generators (WTG), Photovoltaic (PV) systems, battery banks and diesel generator are considered in this study. An optimization model is proposed to determine the best size of grid independent hybrid energy system. The proposed model demonstrates that different renewable sources can be used simultaneously for practical applications. Minimizing the investment costs and fuel cost is the objective of this study while ensuring the reliability requirements. A novel algorithm, named GPSO-GM (Guaranteed convergence Particle Swarm Optimization with Gaussian Mutation), for the optimization problem in an autonomous microgrid is proposed. Two operators, mutation and guaranteed convergence, are added to PSO in order to help in finding an optimal solution and to assist in increasing the speed of the proposed algorithm as well as the accuracy of the results. The results of the simulation of the proposed hybrid systems operation are analyzed discussed in detail.
Keywords : Microgrid; Renewable energy resources Optimization; Wind generation photovoltaic.