Parallel-differential evolution approach for optimal event-driven load shedding against voltage collapse in power systems

Yan Xu, Zhao Yang Dong, Fengji Luo, Rui Zhang, Kit Po Wong

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

49 Citations (Scopus)

Abstract

Event-driven load shedding is an effective countermeasure against voltage collapse in power systems. Conventionally, its optimisation relies on sensitivity-based linear methods, which, however, could suffer from unrealistic assumptions and suboptimality. In this study, an alternative approach based on parallel-differential evolution (P-DE) is proposed for efficiently and globally optimising the event-driven load shedding against voltage collapse. Working in a parallel structure, the approach consists of candidate buses selection, voltage stability assessment (VSA) and DE optimisation. Compared with conventional methods, it fully considers the non-linearity of the problem and is able to effectively escape from local optima and not limited to system modelling and unrealistic assumptions. Besides, any type of objective functions and VSA techniques can be used. The proposed approach has been tested on the IEEE 118-bus test system considering two cases for preventive control and corrective control, respectively, and compared with the two existing methods. Simulation results have verified its effectiveness and superiority over the compared methods. © The Institution of Engineering and Technology 2014.
Original languageEnglish
Pages (from-to)651-660
JournalIET Generation, Transmission and Distribution
Volume8
Issue number4
DOIs
Publication statusPublished - 2014
Externally publishedYes

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