An efficient NSCE algorithm for multi-objective reactive power system compensation with UPFC

<span id="docs-internal-guid-a50ef6a8-7fff-b6d7-8e58-d434be6097d4"><span>This paper proposes a novel approach based on the NSCE (elitist non dominated sorting cross entropy), for optimization of location and size flexible AC transmission system device (FACTS) namely: unified power flow controller (UPFC) to achieve optimal reactive (ORPF). In present work, main objective is minimize real losses, cost investment several UPFC deviation voltages using intelligent algorithms. The proposed study multiobjective, in which, generator buses, control voltages, ratio tap changer transformers injections from installed are considered as variables. algorithm validated IEEE 30-bus test system. A comparison with elitist genetic (NSGA-II) regularity model-based multiobjective estimation distribution (RM-MEDA) done completed hybridization them.</span></span>