Artificial intelligence technique based Reactive Power Planning incorporating FACTS Controllers in Real Time Power Transmission System

Abstract

Reactive Power Planning is a major concern in the operation and control of power systems This paper compares the effectiveness of Evolutionary Programming (EP) and Differential Evolution to solve Reactive Power Planning (RPP) problem incorporating FACTS Controllers like Static VAR Compensator (SVC), Thyristor Controlled Series Capacitor (TCSC) and Unified power flow controller (UPFC) considering voltage stability. With help of Fast Voltage Stability Index (FVSI), the critical lines and buses are identified to install the FACTS controllers. The optimal settings of the control variables of the generator voltages, transformer tap settings and allocation and parameter settings of the SVC, TCSC, UPFC are considered for reactive power planning. The test and Validation of the proposed algorithm are conducted on IEEE 30-bus system and 72-bus Indian system. Simulation results shows that the UPFC gives better results than SVC and TCSC and the FACTS controllers reduce the system losses.