Abstract
This paper is a sequel to and builds upon the survey paper on optimal power flow (OPF) [4]. It provides an up-to-date critical review of the recent major advancements in the OPF state-of-the-art since 2010, identifies further challenging developments needed in order to adapt to the transition toward smarter grids, and indicates ways to address these challenges. The paper focuses on three main topics which are reviewed in chronological order of appearance: deterministic OPF, risk-based OPF, and OPF under uncertainty. A special attention is paid to the algorithms for the core optimizers intervening in the master and slave nonlinear programming problems resulting from OPF decomposition.
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