CONGESTION MANAGEMENT IN - DEREGULATED , POWER SYSTEM USING FACTS DEVICES

Abstract

From the last two decades the vertically integrated power system is undergoing the deregulation due to which the consumer will ultimately get benefited. However, deregulated power system confronts few technical problems. Congestion in the transmission lines is a critical one of such problems. Congestion in the transmission lines can be relieved and/or reduced by cost free and non-cost free methods. One of the cost free techniques is installing FACTS devices into the system. FACTS devices have a great flexibility that can control the active power, reactive power and voltage simultaneously. TCSCs and UPFCs are two emerging devices which can relieve the congestion in the transmission lines efficiently. In this dissertation, an efficient and reliable congestion management algorithm is developed using genetic algorithm.. Congestion will be relieved by installing TCSCs and/or UPFCs into the system, but such devices are costlier. Hence it is required to find the optimal locations for FACTS devices. Using genetic algorithm optimal locations will be obtained globally. To validate the performance of the proposed algorithm, IEEE30 bus system with multiple FACTS has been used. The algorithm is found to be robust and independent of number and type of devices.