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Genetic Algorithm Based Congestion Management by Using Optimum Power Flow Technique to Incorporate Facts Devices in Deregulated Environment
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Abstract: Congestion management is one of the important techniques to relieve congestion in transmission system. The usage of transmission line crosses the limits, then congestion occurs. Application of FACTS controllers is as a solution to the problem of congestion management. In the literature Genetic Algorithm (GA) based Optimum Power Flow (OPF) technique is used to determine the optimal location of Static VAR Compensator (SVC). But in this paper Unified-Power-Flow Controller (UPFC) is modeled and located in the system to relieve congestion, also compared with the SVC. This method was applied on IEEE 30-bus test system and a program was developed in MATLAB software environment.
Keywords: Flexible Alternative Current Transmission System (FACTS), Congestion Management, Optimum Power Flow (OPF), Genetic Algorithm (GA), Static VAR Compensator (SVC), Unified-Power-Flow Controller (UPFC).
Keywords: Flexible Alternative Current Transmission System (FACTS), Congestion Management, Optimum Power Flow (OPF), Genetic Algorithm (GA), Static VAR Compensator (SVC), Unified-Power-Flow Controller (UPFC).
How to Cite:
[1] S.VINOD KUMAR, J.SREENIVASULU, K.VIMALA KUMAR, βGenetic Algorithm Based Congestion Management by Using Optimum Power Flow Technique to Incorporate Facts Devices in Deregulated Environment,β International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2014.21206
