Event-trigger heterogeneous nonlinear filter for wide-area measurement systems in power grid

Sen Li, Luyu Li, Zhen Li, Xi Chen, Tyrone Fernando, Herbert H.C. Iu, Guoqing He, Qinglin Wang, Xiangdong Liu

Research output: Contribution to journalArticle

28 Citations (Scopus)

Abstract

The development of distributed generation (DG) raises high requirement on accurate real-time state estimation with phasor measurement unit (PMU) for wide-area measurement systems (WAMS). Although the particle filter (PF) is among the best in estimation performance, its computation burden is truly heavy towards smart sensors of current generation. Besides, the infrastructure for PMU data communication is confronted with the challenges of the amount of data boosted by the high sampling frequency of PMUs and booming grid size. This paper proposes an event-trigger heterogeneous nonlinear filter (ET-HNF) to solve these problems. A master-slave nonlinear filtering structure is designed for WAMS by taking full advantage of computation power both at generator node and estimation center. The local slave filter is established at generator node to perform the event-trigger strategy based on low computational unscented transformation. Moreover, a Monte Carlo based filter served as the master, which improves estimation center’s filtering performance by cooperating with the center slave. Simulation results verify the feasibility and performance of ET-HNF using the standard IEEE 39-bus system with PMUs.

Original languageEnglish
Pages (from-to)2752-2764
Number of pages13
JournalIEEE Transactions on Smart Grid
Volume10
Issue number3
Early online date27 Feb 2018
DOIs
Publication statusPublished - 1 May 2019

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