Ring main distribution state estimation through minimal metering scheme

Distribution system state estimation plays major role in operational and control issues. This work executed in two stage process. The real time monitoring of distribution system simulated in first stage by PSCAD software package. RTU and power flow meters are placed at specified location identified by PSO. Monitored parameters are estimated using Swarm tuned ANN estimator, considering pseudo measurements for unmetered nodes is executed in second stage. The backpropogation neural network self tuned by particle swarm is proposed to estimate the node voltage magnitude and angle. The IEEE and TNEB benchmark systems are considered for executing the result.