Optimal dispatch of generators based on network constrained to enhance power deliverable using the heuristic approach

In the rapid development of the electric power industry, there is a very steep increase in load. In the era of the modern power sector, renewable-based distributed generation has been forced to incorporate into the network. The classical generator dispatch method concentrates only on economic and environmental concerns during dispatch. These approaches are not scheduled considering the capacity benefit approach. The proposed work proposes a fourth-angle view of generator dispatch to meet the demand considering the available transfer capability of the network. This novel method gives an edge in the overloading of the network over classical economic-based load dispatch methods. Since the problem formulated is based on network loading, the objective functions are non-linear and particle swarm optimization is implemented to solve the solutions. This paper presents the comparative result analysis based on economical based optimal power flow (EPOF) and capacity benefited optimal power flow (COPF). From the case studies, we could find the available transfer capability in IEEE 30 bus system has increased by 13% when compared with solving in classical optimal power flow.