Multi-objective congestion management approach in competitive electricity markets

Abstract

In this paper, a competitive bidding based congestion management approach is developed for a pool type electricity market model. The proposed approach primarily mitigates the congestion based on rescheduling both the real and reactive power output of generators. The severe transmission congestion problem may be handled by adopting group wise load curtailment scheme based on willingness to pay approach in addition to real and reactive generation rescheduling. The separate bids are invited from all participating generators in the congestion market. Further, the multi-objective optimization frameworks are developed which simultaneously minimizes two contradictory objective functions such as Total Cost of Congestion Management and Congestion Severity Index (CSI) subjected to various system constraints. The proposed approach is tested for different congestion scenarios on 39-bus New England power system.