A new improved hybrid algorithm for congestion management in a deregulated electricity industry using chaos enhanced differential evolution

Congestion management (CM) is one of the severe problems in deregulated or liberalized electricity industry. In a liberalized electricity market, transmission lines are normally operated near its rated capacity and sometimes, this may cause congestion in the lines. This is because every market participants have the intention to maximize their profits. Failure of managing congestion properly may ultimately lead to the system collapse. Several methods including both classical and modern heuristic techniques have been used to address the problems of congestion management with different level of success. A novel hybrid algorithm based on differential evolution and chaos theory is presented in the present paper to alleviate congestion in power systems by rescheduling of participating generators. The algorithm tested on a standard system to demonstrate its capability in alleviating congestion of power systems. A comparative result is also presented in the present work. It is observed that the present technique is capable in improving the quality of solutions.