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Original Articles

Optimal Placement of Phasor Measurement Units with Linear and Non-linear Models

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Pages 357-373 | Received 05 Jul 2013, Accepted 03 Oct 2014, Published online: 09 Feb 2015
 

Abstract

Abstract—This article presents a non-linear programming-based model for the optimal placement of phasor measurement units. The optimal phasor measurement units placement is formulated to minimize the number of phasor measurement units required for full system observability and to maximize the measurement redundancy at all buses in a power system. A sequential quadratic programming algorithm is used for the solution of the proposed model. The existence of power flow and injection measurements, the limited phasor measurement units channel capacity, the lack of communication facilities in substations, and the single phasor measurement units loss are also incorporated into the initial proposed formulation. The non-linear programming model is applied to IEEE 14- and 118-bus test systems in MATLAB. The accuracy and the effectiveness of the proposed method is verified by comparing the simulation results to those obtained by a binary integer programming model also implemented in MATLAB. The comparative study shows that the proposed non-linear programming model yields the same number of phasor measurement units as the binary integer programming model. A remarkable advantage of the non-linear programming against binary integer linear programming is its capability to give more than one optimal solution, each one having the same minimum number of phasor measurement units (same minimum objective value), but at different locations.

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Notes on contributors

Nikolaos P. Theodorakatos

Nikolaos P. Theodorakatos received his B.S. and his Diploma degrees in electrical engineering from Technological Educational Institute of Athens and National Technical University of Athens, Athens, Greece, in 2000 and 2012, respectively. Currently, he is pursuing his Ph.D. at the School of Electrical Engineering of National Technical University of Athens, Athens, Greece. His research interests include PMU technology and optimization.

Nikolaos M. Manousakis

Nikolaos M. Manousakis received the Diploma and Ph.D. degrees in electrical and computer engineering from the National Technical University of Athens (NTUA), Athens, Greece, in 2003 and 2013, respectively. His fields of interest include power system state estimation and PMU applications.

George N. Korres

George N. Korres received the Diploma and Ph.D. degrees in electrical and computer engineering from the National Technical University of Athens (NTUA), Athens, Greece, in 1984 and 1988, respectively. Currently, he is a Professor with the School of Electrical and Computer Engineering of NTUA. Prof. Korres is a member of CIGRE. His research interests are in power system state estimation, power system protection, and industrial automation.

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