Evolutionary Programming and Fast-Evolutionary Programming for Sizing and Optimization of Large-Scale Grid-Connected Photovoltaic (GCPV) System

The paper presents the Evolutionary Programming (EP) and Fast-Evolutionary Programming (FEP) for sizing and optimization of Large-Scale Grid Connected Photovoltaic (GCPV) system. The objective of this study is to get the optimal value of Net Present Value for 5MW Solar farm located in Setiu Terengganu. In this study, there are two types of different algorithms that have been used which are Computational Intelligence-Based sizing by using EP and FEP. The performances of these two methods have been compared based on their NPV and Elapsed time with the Iterative Sizing Algorithm (ISA). The results showed that FEP produced the best NPV and much faster in term of elapsed time if compared with EP.