Congestion Management in Deregulated Electricity Market with Generator Sensitivity Effects

Abstract

This paper proposes a novel Modified Virus Colony Search (MVCS) algorithm to solve the Congestion Management (CM) problem in the deregulated electricity market, considering generator sensitivity and the rescheduling of active power. Thus, the generator output is determined using generator sensitivity index to manage transmission line limitation and achieve maximum efficiency in power transmission. The CM model is formulated with a single objective function to minimize the final cost by optimal planning of active power responses from generators. To develop the exploration and exploitation of VCS, several modifications are proposed in both the local and global parts, which improve the stability of the Virus Colony Search (VCS) structure. To evaluate the MVCS performance, it is tested on three well-known power systems, including Institute of Electrical and Electronics Engineers (IEEE) 30-bus and IEEE 118-bus. The numerical results show acceptable performance compared to other available methods.