• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

Year: 2015, Volume: 8, Issue: 24, Pages: 1-9

Original Article

An Improved Differential Evolution Algorithm for Congestion Management Considering Voltage Stability


In deregulated electricity market, Congestion Management (CM) is one of the most significant issues in order to maintain the system in secure state and to get the reliable system operation. While addressing Congestion Management voltage stability should also be taken into account. This paper elucidates an Improved Differential Evolution (IDE) algorithm to alleviate Congestion in transmission line by rescheduling of generators while considering voltage stability. Differential Evolution (DE) is one of the heuristic, population based algorithm which is well suited for solving complex and non-linear optimization problems. A Double Best Mutation Operator (DBMO) is proposed to improve DE algorithm’s convergence rate. In order to validate suitability of the suggested approach, it has been evaluated on the IEEE-30 bus test system on both base case loading as well as 10% increased load. The test system has been also examined under critical line outages. The results and discussions clearly depicts the effectiveness of the projected approach in solving Congestion Management Problem. 
Keywords: Congestion Management (CM), Differential Evolution (DE), Double Best Mutation Operator (DBMO), Generation Rescheduling 


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