Voltage Estimation of Active Distribution Network Using PMU Technology

Tangi, Swathi; Gaonkar, D. N.

doi:10.1109/access.2021.3097001

Cited by 5 publications

(4 citation statements)

References 30 publications

(28 reference statements)

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“…Table 2 shows the complete observability of these test feeders, and the requisite PMU counts and placements for the case studies on the modified IEEE 18-bus, 33-bus, and 69-bus networks. When ZI buses are considered in the design of PMU placement, the necessary number of PMUs is significantly reduced without affecting the system’s observability [ 31 – 35 ].…”

Section: Resultsmentioning

confidence: 99%

“…networks. When ZI buses are considered in the design of PMU placement, the necessary number of PMUs is significantly reduced without affecting the system's observability [31][32][33][34][35].…”

Section: Plos Onementioning

confidence: 99%

“…The 18-bus data is provided in [35], whereas data for 33 and 69 buses are provided in [36]. 4.2.1 18 bus results.…”

Section: Voltage Profile Estimation Of Ieee Bus Systems Using Pmusmentioning

confidence: 99%

See 2 more Smart Citations

Smart distribution network voltage estimation using PMU technology considering zero injection constraints

Tangi,

Gaonkar,

Nuvvula

et al. 2024

PLoS ONE

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To properly control the network of the power system and ensure its protection, Phasor measurement units (PMUs) must be used to monitor the network’s operation. PMUs can provide synchronized real-time measurements. These measurements can be used for state estimation, fault detection and diagnosis, and other grid control applications. Conventional state estimation methods use weighting factors to balance the different types of measurements, and zero injection measurements can lead to large weighting factors that can introduce computational errors. The offered methods are designed to ensure that these zero injection criteria can be strictly satisfied while calculating the voltage profile and observability of the various distribution networks without sacrificing computing efficiency. The proposed method’s viability is assessed using standard IEEE distribution networks. MATLAB coding is used to simulate the case analyses. Overall, the study provides a valuable contribution to the field of power distribution system monitoring and control by simplifying the process of determining the optimal locations for PMUs in a distribution network and assessing the impact of ZI buses on the voltage profile of the system.

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Section: Resultsmentioning

confidence: 99%

Section: Plos Onementioning

confidence: 99%

See 1 more Smart Citation

Smart distribution network voltage estimation using PMU technology considering zero injection constraints

Tangi,

Gaonkar,

Nuvvula

et al. 2024

PLoS ONE

Self Cite

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“…In this context, distribution network phasor measurement units (DPMUs) permit the development of high-precision and time-synchronized monitoring networks. This is a timely technology that completely aligns with the tenets of the current smart grid revolution [1], [2], [3], [4].…”

Section: Introductionmentioning

confidence: 99%

A Fully Informative Phasor Measurement Unit for Distribution Networks With Harmonic Distortion

et al. 2022

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We introduce a fully informative distribution network phasor measurement unit (FI-DPMU), that is capable of performing a simultaneous estimation of phasor dynamics and harmonic components. This is in contrast with current state-of-the-art devices, that only provide information about the fundamental component of voltages/currents-by discriminating or filtering-out their harmonic content. The FI-DPMU hence represents a significant economical solution, since it bypasses the need to deploy power quality analyzers to retrieve full information about the network. To validate the accuracy of the FI-DPMU, we performed a hardware-in-the-loop implementation to emulate a distribution network that is subject to abrupt frequency variations and high harmonic distortion. The tests demonstrate that the FI-DPMU satisfies the standards of distribution network phasor measurement units (DPMUs), providing a real-time fast Fourier transform (FFT) as additional feature. Experimental results show a comparison between FI-DPMU measurement data with the information provided by a commercial DPMU.

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Hybrid data-driven resilience assessment and enhancement of distribution system for cyclone susceptible zones

Sonal

Ghosh

2022

Sci Rep

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The sprawl of distribution system towards the need of smart grid, demands better sustenance and adaptation strategies to deal with high-impact low-frequency (HILF) events. One of the predominant causes of HILF events are natural calamities. Therefore, the resilience assessment of the distribution system is inevitable. The contributions majorly focuses on hybrid data driven approach using micro-phasor measurement unit (μ-PMU), for dynamic voltage, current phasors monitoring, and unmanned aerial vehicle (UAV) confirms structural vulnerability of nodes within network. Mesh grid approach, which analyses cyclone trajectory affecting the network, supplemented identification of most vulnerable part within network. However, priorities of vulnerable nodes are corroborated using complex network (CN) theory. This hybrid data driven approach and spatial parameters are used to estimate appropriate mitigation strategies against HILF scenarios. Hence, resilience analysis based on location parameters and dynamic network conditions are further analyzed based on degree of correlation of location dependent resilience with latitude, elevation, and probable water level. Based on susceptible vulnerable nodes, identification of optimum alleviation schemes is adopted and justified using resilience trapezoid. To validate efficacy of the proposed approach, the analysis is tested on IEEE 33-bus distribution network subjected to 5 cyclone prone geographical coordinates for 20 years cyclone data.

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Voltage Estimation of Active Distribution Network Using PMU Technology

Cited by 5 publications

References 30 publications

Smart distribution network voltage estimation using PMU technology considering zero injection constraints

Smart distribution network voltage estimation using PMU technology considering zero injection constraints

A Fully Informative Phasor Measurement Unit for Distribution Networks With Harmonic Distortion

Hybrid data-driven resilience assessment and enhancement of distribution system for cyclone susceptible zones

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