Title: Capabilities and incapabilities of unity power factor control algorithm for DSTATCOM under abnormal grid and load conditions

Authors: Yogesh Rohilla; Dinesh Kumar; Bharat Singh Rajpurohit

Addresses: EEE Department, Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, India ' Global R&D Center, Department of EMC and Harmonics, Danfoss Drives A/S, Grasten 6300, Denmark ' School of Computing and Electrical Engineering, Indian Institute of Technology (IIT) Mandi, Himachal Pradesh, India

Abstract: Distribution static compensator (DSTATCOM) is an efficient custom power device to enhance the power quality of distribution network. To operate the DSTATCOM, a control strategy is a must and the unity power factor (UPF) is one such control strategy, which is used in DSTATCOM applications. The UPF algorithm has been developed in such a way that it operates as the reference supply current generator for DSTATCOM. To ensure the effective operation of DSTATCOM, it is important to analyse the performance of selected control algorithm at different disturbances either coming from source side or load side. A three-phase four-wire distribution system is considered for this study and the performance of UPF-based DSTATCOM system has been analysed for different disturbances such as unbalanced and harmonic distortion coming from source and load side. Exhaustive analysis is provided using the simulation tools (MATLAB/Simulink) to show the capabilities and incapabilities of UPF control algorithm under such disturbances. Each case is analysed thoroughly keeping the view of reactive power requirement, load balancing, total harmonic distortion levels as per IEEE-519 standard and power factor improvement.

Keywords: current distortion; distribution static compensator; DSTATCOM; unbalancing; unity power factor; UPF; control algorithm; voltage distortion.

DOI: 10.1504/IJPELEC.2022.119795

International Journal of Power Electronics, 2022 Vol.15 No.1, pp.55 - 85

Received: 08 Jun 2019
Accepted: 10 Sep 2019
Published online: 21 Dec 2021 *

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