The Optimal Location Algorithm of SAPFs in Distribution Network Based on Harmonic State Estimation

With the development of high-proportion renewable energy systems, the number of distributed nonlinear loads has been increasing, which causes a growing harmonic problem in the distribution network. In this situation, the traditional point-to-point harmonic compensation method is inefficient, since it needs to configure plenty of control equipment. This article presents a multi-objective optimal location algorithm of multiple shunt active power filters (SAPFs), considering that some harmonic sources are unknown in the distribution network. Firstly, based on the measurement equations, the least-square method is used to estimate the unmeasured power quality data, so as to improve the accuracy of the multi-bus harmonic mitigation model. Secondly, a multi-objective genetic algorithm is proposed for determining the Pareto-optimal set of the equipment layout to suppress multi-bus harmonic distortion. Finally, a standard IEEE-18 buses simulation model with 6 nonlinear loads is built to verify the proposed optimal location strategy. The simulation results show that the proposed algorithm can ensure that harmonic distortion indexes of each bus meet the recommended standards with few devices and total capacity.