Multi-Objective Robust Voltage/VAR Control for Active Distribution Networks

Abstract

Voltage/VAR control (VVC) methods implemented by on-load tap-changers, capacitor banks and photovoltaic (PV) associated inverters can efficiently maintain power quality (re-duce voltage deviation) and reduce energy loss for active distribution networks (ADNs). However, minimization of voltage deviation is in competition with minimization of energy loss. Besides, uncertainties such as PV power generation and load demand impair control results. To address these issues, this paper proposes a multi-objective VVC model based on a multi-stage coordination framework for ADNs, aiming to minimize voltage deviation and energy loss simultaneously. More importantly, this paper proposes a multi-objective robust optimization approach to robustly optimize the multi-objective VVC model against uncertainties. Correspondingly, a solution algorithm based on adaptive weighted-sum and column-and-constraint generation algorithms is developed to solve the multi-objective robust optimization problem. Simulation results show well distributed solutions and high solution robustness of the proposed multi-objective robust VVC against uncertainties.