PMU Optimal Placement for Fault Detection in Wide Area Monitoring Systems based on the Drone Squadron Optimization

Abstract

Wide area monitoring systems require the integration of new technologies that provide real time synchronized phase angle measurements. The Phasor measurement units (PMUs) are the most advanced devices to achieve this task so far. The objective of this work is to find the minimum number and optimal placement of PMUs in some standardized IEEE systems. The relatively new drone squadron optimization (DSO) technique is used to solve this problem. Next, fault location is studied based on the measurements collected from these PMUs. The simulations are carried out using MATLAB SIMULINK. The results show that it is possible to achieve the observability of the overall system; however, more PMUs are needed to locate the faults.

Load Balancing in Smart Grids using Multi-Objective Evolutionary Optimization

“…In particular, during the charging time, the PHEVs can almost double the average household load and drastically exacerbate the already high PAR [7]. Nature inspired or evolutionary algorithms (EAs) [8][9][10][11][12][13] are efficient candidates for solving engineering problems such as the problem of scheduling electrical appliances in a home under a demand-response program [14]. Scheduling problems may have more than one objective.…”