Allocation of UPFC Using Hybrid Index-Genetic-Simulated Annealing Technique to Improve Static Security of Power Systems

Abstract

The increasing penetration of renewable energy generation, the emergence of new type of loads, and the deregulation of energy markets have made it more challenging to operate power systems securely. The frequent changes in operating conditions require fast and flexible control of power flows and voltage. This paper presents a method for placing and configuring unified power flow controller (UPFC) in power systems. The UPFC is placed based on the line overload-voltage deviation index (LOVDI), and its settings are determined using a hybrid genetic-simulated annealing (HGSA) algorithm. The goal of the proposed method is to maximize the static security of the power system by minimizing the composite security index (CSI). The CSI measures the severity of both line overloading and voltage violations under a single branch outage. The proposed technique has been evaluated on one area of RTS-GMLC network under peak load operating scenario. The technique achieves remarkable improvement on the static security of the test system by reducing the line overloads, voltage deviations and composite security index, and shifting the operating state from insecure to alarm for most component outages.