A Probabilistic Optimization Technique for Network Reconfiguration in Distribution System with PVs and Phasor Measurement Units

The voltage regulation and power loss reduction are important issues in distribution systems with more integration of variable renewable energy sources such as photovoltaic (PV). It is effective to flexibly change the network configuration by using switchgears in order to mitigate voltage fluctuation by decreasing the distribution power loss. Here, it should be needed to avoid overloading on distribution lines even with uncertain power flow changes caused by fluctuations of PV output and loads. Hence, this study developed a probabilistic optimization method for network reconfiguration, supposing the monitoring data measured by sensors with Phasor Measurement Units (PMUs) are available. The proposed method consists of quasi Monte Carlo simulation and Tabu search for probabilistic state estimation and network reconfiguration, respectively.