An Artificial Rabbits’ Optimization to Allocate PVSTATCOM for Ancillary Service Provision in Distribution Systems

Attaining highly secure and safe operation of the grid with acceptable voltage levels has become a difficult issue for electricity companies that must adopt remedial actions. The usage PV solar farm inverter as static synchronous compensator (or PVSTATCOM device) throughout night recently been proposed way to enhance system performance. In this article, novel artificial rabbits’ optimization algorithm (AROA) is developed minimizing both daily energy losses profile considering different 24 h loadings. AROA inspired from natural surviving strategies rabbits. tested on typical IEEE 33-node distribution network including three scenarios. Different scenarios are implemented PV/STATCOM allocations day. effectiveness demonstrated in comparison differential evolution (DE) golden search (GSO). adequately allocated based AROA, where greatly reduced 54.36% deviations improved 43.29%. Moreover, provides no violations all constraints while DE fails achieve these limits. Therefore, shows greater dependability than GSO. profiles at nodes over daytime hours more minimum limit 95%.