Generation Expansion Planning Considering Photovoltaic (PV) and Wind turbine Systems Using Optimization of Evolutionary Programming (EP) Technique

Abstract

This project introduces generation expansion planning considering grid-connected PV Generator and Wind turbine allowing the reliability of a system. The Markov model is performed with embedded data of PV generator and Wind turbine to obtain forced outage rate (FOR). Then, a load of a 24-bus system and a variant number of the population comprising kW sizing of PV Generator and Wind turbine is used to obtain the loss of load expectation (LOLE). The EP technique for optimization of expansion planning considering Roulette wheel and crossover is applied to increase the performance of system reliability of PV Generator and Wind turbine. The generation expansion planning produced the best sizing of PV Generator and Wind turbine with the LOLE less than 2.4 and finally obtained the objective function which is the lowest installation cost.