Reliability assessment for DFIG-based WECS considering the impact of 3-phase fault and lightning impulse voltage

Document Type

Article

Publication Date

8-1-2021

Abstract

The assimilation of wind energy into the conventional grid brings several considerable challenges when uncertainties are considered. The uncertainties, including the occurrence of three-phase fault and lightning fault, are considered to analyze the reliability and performance of the wind energy system. So, a study is a prerequisite for the power system, including wind farm (WF), voltage source converter (VSC), and lightning voltage and current phenomena. Therefore, the present work deals with the generation of lightning envelopes of impulse voltage and current and rectangular pulse current by considering the realistic equivalent circuit. The generated impulse voltage acting as a lightning fault is then implemented on the 3-phase terminals of grid-connected Doubly Fed Induction Generator (DFIG) based Wind Integrated Power System (WIPS), which includes six wind turbines (WT) of 1.5 MW each and 120 kV, 60 Hz grid. A 3-phase short circuit fault is applied further to compare the output responses of the DFIG-based WIPS. The system's behavior under both faults is observed by determining the controller gain values. The gains, including proportional (k(p)) and integral (k(i)) of a sixth-order transfer function for Wind Turbine Generator (WTG), have been determined by using particle swarm optimization (PSO) algorithm. A reliability assessment of VSC considering DC voltage is done using the Monte-Carlo (MC) method, considering the lightning impulse voltage (LIV) as a major cause of converter failure. It is found that the DFIG-based WIPS achieves considerable responses under both types of faults by obtaining the optimal controller values. It has been also observed that the reduction in the number of failures that occurred in VSC during the lightning strike improves the system's reliability.

Keywords

Doubly fed induction generator, Impulse voltage, Monte-Carlo method, Particle swarm optimization

Divisions

sch_ecs

Publication Title

International Transactions on Electrical Energy Systems

Volume

31

Issue

8

Publisher

Wiley-Hindawi

Publisher Location

111 RIVER ST, HOBOKEN 07030-5774, NJ USA

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