MULTI-OBJECTIVE INTEGRATED APPROACH FOR DISTRIBUTED GENERATION PLACEMENT AND SIZING TO ENHANCE PERFORMANCE OF RADIAL POWER DISTRIBUTION SYSTEM

Abstract

This article proposes an integrated approach combining a novel population-based jellyfish search al- gorithm (JSA) and loss sensitivity factor (LSF) to optimize single and multiple distributed generation (DG) placement and ratings for total active power loss (TAPL) minimization and total voltage deviation (TVD) reduction. The study considers photovoltaic (PV) and wind turbine (WT) DG systems for optimal integration. The simulation findings are examined for a single and multiple DG allocation on the IEEE 69-bus benchmark radial distribution power network (RDPN). The TAPL of the 69-bus benchmark RDPN is mini- mized from 225 kW to 77.10 kW, 62.32 kW, 19.52 kW, and 9.94 kW after the single PV, three PV, single WT, and three WT DG systems optimization, respectively. Simultaneously, the TVD is minimized from 1.8369 per unit (p.u.) to 0.7036 p.u. and 0.6698 p.u. for a single and three PV DG systems optimization, respectively, and 0.3934 p.u. and 0.3466 p.u. for a single and three WT DG systems placement, respectively. The perfor- mance of the proposed integrated approach is compared to the different optimization techniques, taking TAPL as a comparison metric. The comparison showcases that the integrated approach results in a favorable op- timal solution among the compared optimization tech- niques.