Improving distribution network model accuracy using impedance estimation from micro-synchrophasor data

Roberts, Ciaran; Shand, C. M.; Brady, Kyle; Stewart, Emma; McMorran, A. W.; Taylor, Gareth

doi:10.1109/pesgm.2016.7742028

Cited by 23 publications

(13 citation statements)

References 12 publications

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“…They also proposed the data analytics techniques to pre-process the Micro-PMU data to remove bad data and noises to make them suitable for model synthesis application. The authors of [204] proposed a Micro-PMU system working together with a cloud platform for identifying areas where the network parameters need to be updated. They discussed and compared the transformer impedance calculation and the impedance calculated from micro PMU data.…”

Section: Model Synthesis Of Dnmentioning

confidence: 99%

The Paradigm Revolution in the Distribution Grid: The Cutting-Edge and Enabling Technologies

Thasnimol

Rajathy

2020

Open Computer Science

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Bi-directional information and energy flow, renewable energy sources, battery energy storage, electric vehicle, self-healing capability, and demand response programs, etc., revolutionized the traditional distribution network into the smart distribution network. Adoption of modern technologies like intelligent meters such as advanced metering infrastructure & Micro-phasor measurement units, data storage, and analysis techniques and incentive-based electricity trading mechanisms can bring this paradigm shift. This study presents an overview of popular technologies that facilitate this transformation, giving focus on some prime technologies such as real-time monitoring based on Micro-phasor measurement units, data storage and analytics, blockchain technology, multi-agent systems, and incentive-based energy trading mechanisms

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Section: Model Synthesis Of Dnmentioning

confidence: 99%

The Paradigm Revolution in the Distribution Grid: The Cutting-Edge and Enabling Technologies

Thasnimol

Rajathy

2020

Open Computer Science

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“…To solve the estimation problem all the above constraints must be considered and an overall problem can be defined: (16) where the subscript t makes the measurement timestamp explicit, x is the N -size vector of all the unknowns and e t is the vector of all the zero-mean random errors. e t has a covariance matrix Σ e (time independent), which is assumed to be diagonal if it includes the variances of decorrelated PMU measurements.…”

Section: Solution Of the Estimation Problemmentioning

confidence: 99%

“…It is interesting to highlight that (17) gives the covariance matrix of the random components in (16) once the constraints are defined as functions of the measured values. Given the measurements, H t and H ξ,α,η,ψ t are defined and known.…”

Section: Solution Of the Estimation Problemmentioning

confidence: 99%

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Compensation of Systematic Measurement Errors in a PMU-Based Monitoring System for Electric Distribution Grids

Pegoraro

Brady

Meier

2019

IEEE Trans. Instrum. Meas.

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The availability of accurate measurements is the prerequisite for the actual implementation of many monitoring and management applications in smart distribution networks. Phasor Measurement Units (PMUs) can provide synchronized voltage and current measurements, referred to a common time reference (usually the Coordinated Universal Time, UTC). This feature, as well as the high accuracy and reporting rate of PMUs, can be exploited for an accurate network monitoring. At the same time, the smartness of the grid can include the possibility for the measurement system to self-detect its weak points and improve its performance. In this perspective, a technique for the estimation and the compensation of systematic errors existing in the components of a PMU-based distributed measurement system suitable for monitoring three-phase distribution networks is presented. The uncertainty induced by the components of the measurement system, mainly instrument transformers and PMUs, is included in the model, along with the uncertainty affecting the values of the network line parameters. The method exploits the possible constraints introduced by the grid topology (presence of multiple lines, injected currents, etc.) to improve the accuracy of the estimation, so that a proper compensation of the estimated errors can be allowed. The validity of the approach is verified though simulations performed on a small portion of a test medium voltage distribution grid.

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“…As mentioned above, PMUs specifically designed for distribution systems [2] are now available and the problem has become more topical than ever. In [19], the feasibility of calculating the impedance of both a transformer and a line from PMU measurements for distribution networks (DNs) is investigated, but measurement device and transducer uncertainties are not included in the model. In [20] line parameter estimation is performed by means of unsynchronized measurements.…”

Section: Introductionmentioning

confidence: 99%

Line Impedance Estimation Based on Synchrophasor Measurements for Power Distribution Systems

Pegoraro

Brady

Meier

2019

IEEE Trans. Instrum. Meas.

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Effective monitoring and management applications on modern distribution networks require a sound network model and the knowledge of line parameters. Network line impedances are used, among other things, for state estimation and protection relay setting. Phasor Measurement Units (PMUs) give synchronized voltage and current phasor measurements, referred to a common time reference (coordinated universal time). All synchrophasor measurements can thus be temporally aligned and coordinated across the network. This feature, along with high accuracy and reporting rates, could make PMUs useful for the evaluation of network parameters. However, instrument transformer behavior strongly affects parameter estimation accuracy. In this paper, a new PMU-based iterative line parameter estimation algorithm for distribution networks, which includes in the estimation model systematic measurement errors, is presented. This method exploits the simultaneous measurements given by PMUs on different nodes and branches of the network. A complete analysis of uncertainty sources is also performed, allowing the evaluation of estimation uncertainty. Issues related to operating conditions, topology and measurement uncertainty are thoroughly discussed and referenced to a realistic model of a distribution network to show how a full network estimator is possible.

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Improving distribution network model accuracy using impedance estimation from micro-synchrophasor data

Cited by 23 publications

References 12 publications

The Paradigm Revolution in the Distribution Grid: The Cutting-Edge and Enabling Technologies

The Paradigm Revolution in the Distribution Grid: The Cutting-Edge and Enabling Technologies

Compensation of Systematic Measurement Errors in a PMU-Based Monitoring System for Electric Distribution Grids

Line Impedance Estimation Based on Synchrophasor Measurements for Power Distribution Systems

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