Enhancement of Technical, Economic and Environmental Benefits of RDN Using Jaya Algorithm Considering Renewables Uncertainties

Abstract

Due to a larger R/X ratio, distribution networks experience active power losses that are higher than those in transmission networks. Natural resources based on fossil fuels are becoming depleted as a result of rising load demand, which is of great concern to network operators. Besides, a major threat to the environment is the harmful emissions from fossil fuels. So, in order to address the rising demand for energy during this energy crisis, renewable energy sources like solar and wind power are excellent alternatives. This research presents a comparative evaluation of the enhancement of a constrained weighted-sum multi-objective function comprising voltage profile, economic, and environmental improvement factors using the Jaya algorithm for a PV and wind energy integrated radial distribution network. The outcomes of various combinations of PV and wind-based distributed generator integration at single, double, and triple points of typical IEEE 33 and 141 bus test systems have been compared with those of several promising methods. The novelty of the work lies in the fact that simultaneous analyses of technical, economic, and environmental impacts during optimal sizing and sitting of DG have not yet been reported in the literature. The highest relative improvements in overall objective are up to 4.05 and 2.02 times for IEEE 33 and 141 buses, respectively, considering the corresponding worst cases as references. The maximum reduction in the active power losses reported are 47.11% and 43.09% for IEEE 33 and 141 buses, respectively.