Congestion management by generator rescheduling using Artificial Bee Colony optimization Technique

In a deregulated electricity market, when congestion occurs in a transmission line it violates system security and increase system cost. Transmission lines congestion is one of the technical problems which appear particularly in the deregulated environment. In a deregulated era, one of the important tasks of ISO is congestion free power system. Generator rescheduling is one of the techniques adopted by ISO to mitigate transmission congestion in a deregulated electricity market. Present paper proposed Artificial Bee Colony based generator rescheduling for congestion management problem. The ABC algorithm is a new metaheuristic approach inspired by intelligent foraging behavior of honeybee swarm. Firstly, generators are chosen based on their generator sensitivity factor (GSF). Secondly, Artificial Bee colony Optimization is used for rescheduling those selected generators. The proposed algorithm is applied on IEEE 39 Bus New England test system.