Optimal Sizing Of Rooftop Photovoltaic System In Microgrid With Hidro-Based Energy Storage: A Particle Swarm Optimization Aproach

Abstract

Micro-grids based on rooftop photovoltaic energy systems are rapidly becoming widespread due to the fact that production takes place at the point of consumption. By moving the supply to the demand point, energy transmission costs are reduced in these systems, the demand is met with renewable resources, the damage to the environment is minimized, the supply security is ensured for the societies, and the energy dependency is reduced in countries dependent on conventional energy. For this reason, the orientation to these systems has accelerated. In addition to the advantages of rooftop systems, there are also constraints that prevent their spread. The first of these constraints is the inadequacy of the roof areas that can be installed. For this reason, it is necessary to use these limited areas in an optimal way. Of course, when optimizing the space, economic parameters, a focus on renewables and the right fulfillment of demand must be taken into account. In this study, a solution proposal has been developed for this sizing problem. In this context, Turkey's energy consumption values were scaled and micro Turkey was formed. The energy demands of this microgrid were met by using a rooftop pv system and hydro-based storage unit. And cost optimization was carried out by performing a lifetime cost analysis on this system. It has been ensured that the demand is met entirely from renewable resources with minimum cost. Particle Swarm Optimization technique was used as the optimization method. Optimization was carried out in Matlab Environment. The study was carried out as follows; Hourly loads were analyzed, energy balance equations were created to meet these loads, and lifetime cost analysis was made according to the technical characteristics of this energy balance and resources. With the particle swarm optimization technique, optimal sizing has been achieved at optimal minimum cost.