Congestion mitigation considering solar electric vehicle: A possible solution for today's electricity market

Abstract

Congestion management is one of the most important task in the modern power system. Considering the solar electric vehicle (SEV), generator rescheduling based congestion management approach is proposed here to mitigate the transmission congestion. Generator sensitivity factor (GSF) with whale optimization algorithm (WOA) is applied here to find the rescheduling amount and congestion cost of the system. The optimal location of the electric vehicle (EV) charging station is found by using bus sensitivity factor (BSF). To analyze the proposed congestion management approach, WOA algorithm is tested with modified IEEE 30 bus system. To validate the obtained results with WOA algorithm, particle swarm optimization (PSO) and ant lion optimizer (ALO) algorithms are also used in this paper. The obtained results prove the effectiveness of utilization of SEV for minimizing the active power rescheduling amount, active power loss and congestion cost of the system.