Advanced studies for probabilistic optimal power flow in active distribution networks: A scientometric review

In the active distribution networks (ADNs), emerging trend of high penetration sustainable energy sources such as wind turbines, photovoltaics, and forthcoming integration storage devices additional dynamic loads like plug-in-electric vehicles (PEVs) influences to change nature electric networks. Consequently, it deteriorates power quality reliability in terms unacceptable voltage rise-drop, harmonic distortion, unbalance, excessive loss. this context transition into network, probabilistic optimal flow (P-OPF) ADN is considered an important tool that helps grid operators for defining settings system's control variables. However, solution P-OPF becomes highly complex while considering multiple variables, time-varying characteristics operational uncertainties associated with resources, consumer behaviour electricity market prices. This review aims at promoting research discussion studies ADNs challenges. First, we perform a data-driven visualized scientometric analysis 1988 documents retrieved from Scopus during last ten years using VOSviewer software. Second, in-depth investigation recent techniques solving problem presented. Third, set recommendations highlights future challenges are offered. The findings showed interest among scientific community source integration, given rise publications citations. Also, there still lack innovative optimization can adequately handle current issues objectives fair computational efficiency accuracy. Finally, paper offers guide researchers navigate sources, spot new frontiers, identify most impactful countries publishers.