Transmission Congestion Relief with Integration of Photovoltaic Power Using Lion Optimization Algorithm

Abstract

Transmission congestion is a vital problem in a deregulated power system. This paper proposes a novel transmission congestion management approach considering photovoltaic (PV) power using lion optimization algorithm (LOA). The main contributions of this paper have twofolds. Initially, the values of bus sensitivity factor (BSF) and generator sensitivity factor (GSF) are, respectively, used to select the optimal bus to integrate PV power and to select the participating generators for congestion management. Finally, LOA is used to determine the active power rescheduling amount and congestion cost. Test results on modified 39 bus New England system indicate that the LOA approach could provide a less active power rescheduling amount and congestion cost with integration of PV power compared to particle swarm optimization (PSO) and ant lion optimizer (ALO) algorithm.