Research on A Fast Recognition System for Abnormal Harmonic Amplification Caused by Centralized Connection of Multiple Wind Power Plants

Abstract

This paper introduces the abnormal harmonic current amplification phenomenon that occurred in the electric transmission lines, which is caused by the centralized join-up of multiple wind farm plants, by collecting and analysing the voltage, current, and active power indicators data of harmonic amplification phenomenon, to realize the classification and statistics of abnormal indexes variation trend during the harmonic amplification phenomenon. In this paper, the abnormal indexes are classified by different working conditions, such as normal operating state and harmonic amplification phenomenon, thus the recognition index of harmonic amplification is compared and summarized. After screening the most obvious changed part of the index under two kinds of working conditions, nine feature indexes are chosen to be embraced into the recognizing system. Finally, this method is used to analyse the harmonic amplification events in other moments of transmission lines, and all the harmonic amplification phenomena are identified successfully, which proves the feasibility and accuracy of this method.