Research and Characteristic Analysis of Flexible Load Regulation Model Applied to Fault Reconfiguration of Active Distribution Network

Abstract

The access of Distributed Generation (DG) brings challenges to the stable operation of Active Distribution Network (ADN), and ADN fault reconfiguration is an important means to improve system stability. Firstly, this paper analyzed the mathematical model of flexible load, and then took the minimum loss of system network as the objective function, and constructed the network reconstruction model with power flow equality constraints, node voltage constraints, branch capacity constraints and flexible load regulation range as the constraints. Aiming at the problem of distribution network fault reconstruction, an improved particle swarm optimization algorithm was proposed, which was applied to ADN fault reconstruction. Through simulation comparison, it was verified that the improved particle swarm optimization algorithm has faster convergence speed and the ability of local optimal solution was proposed. Through the example analysis of the improved IEEE33 node distribution system, the advantages of the improved particle swarm optimization algorithm in distribution network reconfiguration were verified. The results showed that the method has fast convergence speed, short optimization time and stable operation.