摘要：AbstractIn this paper, a new method is proposed for optimizing the network decomposition of Voltage and Reactive Power Control (VQC). Power system uncertainties often occur due to load variations, generation output of renewable energy, charging/discharging of ESSs and EVs,etc.As a result, it is of main concern how power system operators deal with the uncertainties appropriately. This paper focuses on Modern-Heuristics-based Robust Optimization for power system decomposition of VQC in consideration of the uncertainties. In this paper, Scatter-Search-Predator-Prey Brain Storm Optimization (SSPPBSO) is proposed to evaluate better solutions by integrating Brain Storm Optimization (BSO) of high-performance Modern Heuristics with Predator-Prey and Scatter Search strategies. Robust Optimization plays a key role to handle uncertainties of power system conditions. The effectiveness of the proposed method is tested in the IEEE 57-node system.
关键词：KeywordsUncertaintyRobustnessModern Heuristics OptimizationBrain Storm OptimizationScatter SearchPredator-Prey strategyGlobal optimizationDecomposition methodsPower system controlDecentralized controlVoltage control
