Optimal power flow with a versatile FACTS controller by genetic algorithm approach

This paper presents a new genetic algorithm (GA) method to solve optimal power flow (OPF) in power systems incorporating flexible AC transmission systems (FACTS). As a powerful and versatile FACTS device, the UPFC (unified power flow controller) is considered in this paper. Unlike other FACTS devices, UPFC has a great flexibility that can control the active power, reactive power and voltage simultaneously. In the solution process, GA, coupled with full AC power flow, selects the best regulation to minimize the total generation fuel cost and keep the power flows within their security limits. The optimization process with GA is presented with case study examples using an IEEE test system to demonstrate its applicability. The results are presented to show the feasibility and potential of this new approach.