Hybrid genetic dragonfly algorithm based optimal power flow for computing LMP at DG buses for reliability improvement

Abstract

Thispaperproposesanhybridmethodtocomputelocationalmarginalprice at distributed generation (DG) buses in order to improve reliability in radial distribu tion system (RDS). This method consists of optimal power flow based on hybrid genetic dragonfly algorithm which provides incentives to each DG unit based on its contribution to reliability improvement. In this paper expected energy not supplied has been used as a reliability measuring index. The proposed method enables the dis tribution company (DISCO) to operate the network with more reliability by providing proper incentives to DG owners. The proposed method has been implemented on 38 bus RDSand pacific gas and electric company (PG&E) 69 bus RDS under MATLAB environment. It has been observed from the analytical study on both test systems that by providing proper incentives to DG units, reliability of the network can be vastly improved.