Optimization of state-estimator-based operation framework including measurement placement for medium voltage distribution grid

Y. Xiang, P.F. Ribeiro, J.F.G. Cobben

Research output: Contribution to journalArticleAcademicpeer-review

21 Citations (Scopus)
121 Downloads (Pure)

Abstract

To provide a guideline for grid operators to manage medium voltage distribution grids, this paper presents a probabilistic approach for measurement placement optimization and a state-estimator-based operation framework. The Monte Carlo method is used to optimize the measurement placement with minimum measured points, which support the observability of state estimator and satisfy the requirements for operation activities. The proposed framework covers several important factors from practical situations, including cost allocation of measurement systems, unavailability of measurement data, and small voltage deviation across medium voltage (MV) grids. Finally, a case study on a typical European distribution grid demonstrates the feasibility of the framework.
Original languageEnglish
Pages (from-to)2929-2937
Number of pages9
JournalIEEE Transactions on Smart Grid
Volume5
Issue number6
DOIs
Publication statusPublished - 2014

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