Robust Optimal Operation of Active Distribution Network Based on Minimum Confidence Interval of Distributed Energy Beta Distribution

With the gradual increase of distributed energy penetration, traditional optimization model distribution network can no longer guarantee stable and efficient operation network. In order to deal with inevitable uncertainty energy, a new robust optimal method is proposed for active (ADN) based on minimum confidence interval Beta in this paper. First, an ADN established second-order cone include storage device, capacitor bank, static var compensator, on-load tap changer, wind turbine photovoltaic. Then, historical data related are analyzed described by probability density function, obtained searching. Furthermore, via taking as uncertain interval, less conservative two-stage solved ADN. The simulation results IEEE 33-bus have verified that realize more compared method.