Hybrid Algorithm for Detection of Events and Power Quality Disturbances Associated with Distribution Network in the Presence of Wind Energy
Rajkumar Kaushik, Om Prakash Mahela, Pramod Kumar Bhatt
Abstract
Increased level of renewable energy (RE) penetration in distribution network (DN) deteriorates the power quality (PQ). Since, in the recent years wind energy (WE) integration to utility grids is increasing rapidly, hence there is a need to design effective approaches for identification of PQ issues and identification of events in the presence of high level of WE in DN. This paper designed a technique which uses processing of voltage signal by application of Stockwell transform (ST) and Hilbert transform (HT) for detection of the PQ issues and events in the presence of high level of WE in the DN. PQ indicator (PI) and time location indicator (TLI) are proposed to recognize the PQ disturbances and different nature of the events incident on grid when WE is available. Features are extracted from PI and TLI which are taken as input to decision tree for classifying the operational events. Study is executed on IEEE-13 bus test distribution network where two wind power plants (WPP) are connected. Performance of designed technique is established to be superior in comparison to Discrete Wavelet transform (DWT) supported technique.