Placement of Distribution-Level Phasor Measurements for Topological Observability and Monitoring of Active Distribution Networks

This article presents a new method for the placement of distribution-level phasor measurement units (D-PMUs) in the active distribution networks (ADNs). The new objective function and constraints are proposed to ensure the minimization of capital cost as well the maximization of system observability...

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Veröffentlicht in:IEEE transactions on instrumentation and measurement Jg. 69; H. 6; S. 3451 - 3460
Hauptverfasser: Chauhan, Kapil, Sodhi, Ranjana
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.06.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Active distribution network (ADN)
Computer simulation
distribution-level phasor measurement unit (D-PMU)
Error analysis
integer linear programming (ILP)
Integer programming
Linear programming
Measurement uncertainty
Measuring instruments
Minimization
Observability
Observability (systems)
Optimization
Phasor measurement units
Phasors
Placement
Reconfiguration
State estimation
state estimation (SE)
Switches
topological observability
Transmission line measurements
ISSN:0018-9456, 1557-9662
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Zusammenfassung:This article presents a new method for the placement of distribution-level phasor measurement units (D-PMUs) in the active distribution networks (ADNs). The new objective function and constraints are proposed to ensure the minimization of capital cost as well the maximization of system observability, in the presence of distributed generations (DGs), zero injection buses (ZIBs), and tie-switches. The integer linear programming (ILP) is used to solve the framed objective function and the constraints. Furthermore, the accuracy of ADN state estimation (ADN-SE), in various system conditions, such as network reconfiguration, change in load demand, and measurement error degradation, is analyzed to check the impact of the proposed placement. The uncertainties caused by D-PMUs, DGs, and pseudomeasurements are considered well in ADN-SE using Monte Carlo simulations. The IEEE 69, 123, Indian 85, and UKGDS 95 bus distribution systems are used in the case studies.
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ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2019.2939951