Distribution State Estimation Considering Practical Equipment in Distribution Systems

Abstract

This paper presents a distribution state estimation method considering practical equipment in distribution syStems. Practical equipment in distribution systems causes nonlinear characteristics in an objective function. Conventional distribution state estimation methods assume that the objective function can be differentiable and continuous. Therefore, considering practical equipment, the conventional method can not be applied. This paper propose a novel distribution state estimation method using the hybrid particle swarm optimization. The proposed method can find load values and distributed generation output values considering practical equipment. The feasibility of the proposed method for the problem is demonstrated and compared with the original particle swarm optimization on practical distribution system models with promising results.