ENERGY HARVISTING MAXIMIZATION BY INTEGRATION OF DG BASED ON ECONOMIC BENEFITS

Abstract

In this thesis, the purpose of Distributed Generation systems (DGs) is to enhance the Distribution System (DS) performance to be better known with its benefits in the power sector as installing Distributed Generation (DG) units into the DS can introduce finical and technical benefits. Those benefits can be obtained, if the DG units' site and size is properly determined. The aim of this thesis is studying and reviewing the effect of connecting DG units in the DS on Transmission Efficiency (TE), reactive power loss and voltage deviation in addition to the economical point of view with considering the interest and inflation rate. Genetic Algorithm (GA) is introduced to find the best solution to the distributed generation penetration problem in the DS. The result of GA is compared with Whale Optimization Algorithm (WOA), Particle Swarm Optimization (PSO), and Grey Wolf Optimizer (GWO). The Proposed solutions methodologies have been tested using MATLAB software on IEEE 33 standard bus system.