Optimal Meter Placement for Distribution Network State Estimation: A Circuit Representation Based MILP Approach

Xiaoshuang Chen, Jin Lin, Can Wan, Yonghua Song, Shi You, Yi Zong, Wanfang Guo, Yuanxi Li

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

State estimation (SE) in distribution networks is not as accurate as that in transmission networks. Traditionally, distribution networks (DNs) are lack of direct measurements due to the limitations of investments and the difficulties of maintenance. Therefore, it is critical to improve the accuracy of SE in distribution networks by placing additional physical meters. For state-of-the-art SE models, it is difficult to clearly quantify measurements' influences on SE errors, so the problems of optimal meter placement for reducing SE errors are mostly solved by heuristic or suboptimal algorithms. Under this background, this paper proposes a circuit representation model to represent SE errors. Based on the matrix formulation of the circuit representation model, the problem of optimal meter placement can be transformed to a mixed integer linear programming problem (MILP) via the disjunctive model. Comprehensive numerical studies show the effectiveness and efficiency of the proposed method.
Original languageEnglish
JournalI E E E Transactions on Power Systems
Volume31
Issue number6
Pages (from-to)4357-4370
ISSN0885-8950
DOIs
Publication statusPublished - 2016

Keywords

  • Circuit representation model
  • Distribution networks
  • MILP
  • Optimal meter placement
  • State estimation error

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