ILP-Based Optimal PMU Placement with the Inclusion of the Effect of a Group of Zero-Injection Buses

ILP-Based Optimal PMU Placement with the Inclusion of the Effect of a Group of Zero-Injection Buses Zero-injection buses (ZIBs) can reduce the number of phasor measurement units (PMUs) required to be installed for complete observability. It has been demonstrated that a group of neighboring ZIBs can further reduce this required number of PMUs. In contrast to a single ZIB, the effect of a group of ZIBs has not been incorporated into the model of optimal PMU placement (OPP) using mathematical approaches, except for some heuristics methods. In this paper, a novel methodology to incorporate the effect of a group of ZIBs into the OPP model is proposed, using the integer linear programming approach. Two common contingencies—line outage and PMU loss—are also considered. Moreover, two visualization techniques are used for illustrating the locations of PMUs obtained from OPP: (1) using a graph-based force-directed method and (2) on a map using the geographic information system. The proposed method is verified using several small- and large-scale test systems and compared with other related studies. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Control, Automation and Electrical Systems Springer Journals

ILP-Based Optimal PMU Placement with the Inclusion of the Effect of a Group of Zero-Injection Buses

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Publisher
Springer Journals
Copyright
Copyright © 2018 by Brazilian Society for Automatics--SBA
Subject
Engineering; Electrical Engineering; Control, Robotics, Mechatronics; Control; Robotics and Automation
ISSN
2195-3880
eISSN
2195-3899
D.O.I.
10.1007/s40313-018-0389-4
Publisher site
See Article on Publisher Site

Abstract

Zero-injection buses (ZIBs) can reduce the number of phasor measurement units (PMUs) required to be installed for complete observability. It has been demonstrated that a group of neighboring ZIBs can further reduce this required number of PMUs. In contrast to a single ZIB, the effect of a group of ZIBs has not been incorporated into the model of optimal PMU placement (OPP) using mathematical approaches, except for some heuristics methods. In this paper, a novel methodology to incorporate the effect of a group of ZIBs into the OPP model is proposed, using the integer linear programming approach. Two common contingencies—line outage and PMU loss—are also considered. Moreover, two visualization techniques are used for illustrating the locations of PMUs obtained from OPP: (1) using a graph-based force-directed method and (2) on a map using the geographic information system. The proposed method is verified using several small- and large-scale test systems and compared with other related studies.

Journal

Journal of Control, Automation and Electrical SystemsSpringer Journals

Published: May 30, 2018

References

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