SOLVING MULTI OBJECTIVE ORPD PROBLEM USING AIS BASED CLONAL SELECTION ALGORITHM WITH FACTS DEVICES

Abstract

In this paper, a solution for the multi objective optimal reactive power dispatch (ORPD) problem using an artificial immune system based clonal selection algorithm is presented. The proposed AIS based clonal selection algorithm uses principle of cloning the antibodies and followed by hyper maturation to minimize the voltage stability index (L-index), voltage deviations at all load buses and the transmission real power losses by incorporating the multi type FACTS devices namely Unified power flow controller (UPFC) and Generalized Unified power flow controller (GUPFC). The proposed algorithm also utilizes the concept of non dominated sorting and crowding distance comparison procedures to solve the multi objective optimization problem. After getting pareto optimal front, the best compromise solution is obtained using fuzzy decision maker. The algorithm was implemented and tested on the standard IEEE 30 bus test system before and after placement of FACTS devices. The proposed method results are presented for multi-objective ORPD problem with two objectives and three objectives case studies using FACTS devices.