Congestion Management Role in Optimal Bidding Strategy using Imperialist Competitive Algorithm

The privatization and deregulation of electricity markets has increased competition and electricity may be produced and consumed in amounts that would cause the transmission system to operate beyond transfer limits - the system is congested. Hence, congestion management is a fundamental transmission management problem. In this paper, binding strategy based on load demand and generating power apprises of different units in the investigated system by using optimizing process is modeled. Afterwards, congestion effect in this biding strategy is scrutinized. The described system analysis is implemented on 5 bus system and optimizing technique in this issue is the Imperialist competitive algorithm and the results are compared by GA. Finally, examine system is simulated by using the Power World software; results show that the proposed technique has a proper performance for the congestion management purposes.

Market Clearing Price, Electricity Marketing, Imperialist Competitive Algorithm, Congestion Management, Genetic Algorithm, Power World.