Optimal integration of photovoltaic distributed generation in electrical distribution network using hybrid modified PSO algorithms

The satisfaction of electricity customers and environmental constraints imposed have made the trend towards renewable energies making them more essential due to their advantages as reducing power losses ameliorating system’s voltage profiles reliability. This article addresses optimal location size multiple distributed generations (DGs) based on solar photovoltaic panels (PV) connected electrical distribution network (EDN) using various proposed hybrid particle swarm optimization (PSO) algorithms chaotic maps adaptive acceleration coefficients. These are implemented optimally allocate DGs PV (PV-DG) into EDN by minimizing multi-objective function (MOF), which is represented sum three technical parameters total active loss (TAPL), deviation (TVD), operation time (TOT) overcurrent relays (OCRs). effectiveness PSO were validated both standards IEEE 33-bus, 69-bus. integrating PV-DGs EDNs reduced TAPL percentage 56.94 % for 33-bus 61.17 69-bus test system, enhanced while TVD 37.35 32.27 two EDNs, respectively.