Multi-objective Measurement Devices Allocation Using State Estimation in Distribution System

Allocation of measurement devices is a necessity of distribution system which is an application of state estimation. In this paper, the problem of active and reactive measurement devices is modeling using a multi-objective method. The objectives of the problem are to minimize the use of measurement devices, increase in state estimation output, improve the state estimation quality and reduce costs. The costs are calculated based on line loss, line capacity, lines connected to the specific line and the change in line flow direction. The Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) is used to optimize the measurement devices allocation within the problem of distribution system state estimation. The simulation and optimization is tested on IEEE 33-busand IEEE 123-bus radial networks and state estimation problem is optimized by particle swarm optimization (PSO) algorithm. The Monte Carlo simulation is used to develop some conditions for network to guarantee the robustness of the proposed method.