Optimal Location of Multi Type FACTS Devices for Multiple Contingencies Using Genetic Algorithms

Abstract

With the electricity market deregulation, the number of unplanned power exchanges increases. If these exchanges are not controlled, some lines may become overloaded. Network contingencies often contribute to overloading of branches, violation of voltages and also leading to problem security. This paper presents a procedure based on the contingency severity index (CSI) described by a real power flow performance index (PI) to place multi type FACTS devices (Flexible AC Transmission System) in order to eliminate or alleviate the line over loads. TCSC and UPFC are considered and modeled for steady state analysis. Once the location is determined, their type, their optimal settings and cost of installation can be obtained by solving the optimization problem using genetic algorithms (GA). The proposed approach is tested on 9-bus test system.