Least-Cost Joint Placement of PMUs and Flow Measurements for Ensuring Topological Observability under N-2 Contingencies while Improving State Estimation Accuracy

Songming Zhu, Lei Wu, Yikui Liu, Seyedamirabbas Mousavian

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper discusses an optimal joint placement problem of phasor measurement units (PMUs) and flow measurement devices for ensuring topological observability of power systems under N-2 transmission contingencies. Previous relevant studies focus on topological observability with the least-cost deployment of PMUs and flow measurement devices. In comparison, besides minimizing the total investment cost of PMUs and flow measurements, the proposed optimal location-based joint placement model also optimizes their locations for avoiding PMUs on radial nodes and encouraging flow measurements incident to nodes that are adjacent to PMU installed buses. The proposed model can be equivalently formulated as a mixed-integer linear programming (MILP) problem and solved via a decomposition based algorithm. Effectiveness of the proposed model is verified via a 14-bus IEEE power system. Numerical results show that, compared to traditional optimal joint placement models, optimal locations obtained by the proposed approach lead to noticeable improvements in state estimation accuracy when time skew errors are considered.

Original languageEnglish
Title of host publication2018 North American Power Symposium, NAPS 2018
ISBN (Electronic)9781538671382
DOIs
StatePublished - 2 Jul 2018
Event2018 North American Power Symposium, NAPS 2018 - Fargo, United States
Duration: 9 Sep 201811 Sep 2018

Publication series

Name2018 North American Power Symposium, NAPS 2018

Conference

Conference2018 North American Power Symposium, NAPS 2018
Country/TerritoryUnited States
CityFargo
Period9/09/1811/09/18

Keywords

  • Joint placement
  • N-2 contingencies
  • PMU location
  • Radial nodes
  • State estimation
  • Topological observability

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