An approach for economic design of wide area monitoring system by co‐optimizing phasor measurement unit placement and associated communication infrastructure

Summary Wide area monitoring system has been implemented in power systems to improve control and protection aspects by carrying out the continuous synchronous measurement. It consists of phasor measurement units (PMUs) along with communication infrastructure (CI) to connect all PMUs to the phasor da...

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Bibliographic Details
Published in:International transactions on electrical energy systems Vol. 31; no. 8
Main Authors: Patel, Chintan D., Tailor, Tarun K., Shah, Samyak S., Shrivastava, Shivam H.
Format: Journal Article
Language:English
Published: Hoboken John Wiley & Sons, Inc 01.08.2021
Subjects:
Algorithms
binary dragonfly algorithm
Concentrators
Contingency
Dijkstra's algorithm
Fiber optics
Infrastructure
Measuring instruments
Monitoring
Monitoring systems
Objective function
Optimization
phasor measurement unit
Phasors
ISSN:2050-7038, 2050-7038
Online Access:Get full text
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Summary:Summary Wide area monitoring system has been implemented in power systems to improve control and protection aspects by carrying out the continuous synchronous measurement. It consists of phasor measurement units (PMUs) along with communication infrastructure (CI) to connect all PMUs to the phasor data concentrator (PDC). In this work, simultaneous optimization of PMU count thereby its cost and CI cost has been taken as the objective while ensuring entire system observability. To incorporate the effect of zero injection bus, an improved model has been adopted. A modified objective function has been proposed which enhances maximum observability and further improves the reliability of system monitoring. Dijkstra's algorithm has been utilized for designing optimal CI as well as to identify the location of PDC. Practical operating scenarios such as N‐1 contingency and the presence of pre‐installed PMU or fiber optic have also been simulated. Binary dragonfly algorithm has been applied to solve the considered optimization problem. To demonstrate the efficacy of the proposed method it has been implemented on different IEEE standard test cases. A comparison of obtained results has been presented which indicates the superiority of the proposed method over other methods reported in the literature. The key contributions of this proposed work are as under: To determine the optimum overall WAMS cost, an integrated form considering the simultaneous PMU cost as well as CI cost has been investigated. More practical scenarios such as consideration of pre‐installed PMUs, presence of fibre optics and N‐1 contingency has been included in problem formulation. Improved model for the inclusion of ZIBs has been adopted. BDA has been applied to solve the considered optimization problem.
Bibliography:Please note, as a symbol for voltages use U, u, rather than V, v, in accordance with the international standard.
Correction added on 1 August 2021, after first online publication: Peer review history statement has been added.
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ISSN:2050-7038
2050-7038
DOI:10.1002/2050-7038.12977