Efficient Branch-Current-Based Distribution System State Estimation Including Synchronized Measurements

Pau, Massimiliano; Pegoraro, Paolo Attilio; Sulis, Sara

doi:10.1109/tim.2013.2272397

Cited by 243 publications

(209 citation statements)

References 29 publications

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“…FASE techniques require measurements with high resolution (e.g. from PMUs), which is so far not possible in DS due to a lack of communication infrastructure [86,87].…”

Section: State Filteringmentioning

confidence: 99%

Distribution system state estimation-A step towards smart grid

Ahmad

Rasool

Özsoy

et al. 2018

Renewable and Sustainable Energy Reviews

148

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“…FASE techniques require measurements with high resolution (e.g. from PMUs), which is so far not possible in DS due to a lack of communication infrastructure [86,87].…”

Section: State Filteringmentioning

confidence: 99%

Distribution system state estimation-A step towards smart grid

Ahmad

Rasool

Özsoy

et al. 2018

Renewable and Sustainable Energy Reviews

148

View full text Add to dashboard Cite

“…A review of possible applications of PMU in DN can be found in [60]. Among them, it is important to highlight distribution system state estimation (DSSE), whose challenges will be concisely recalled in the next paragraph, since it represents the main outcome of the whole MS [61,62].…”

Section: Synchronized Measurement Systemsmentioning

confidence: 99%

“…Attention should be paid to the integration of measurements from new devices, such as PMUs [61] and SMs [69].…”

Section: Distribution System State Estimationmentioning

confidence: 99%

“…For this reason, the DSSE will be based on algorithms able to integrate all measurement types, considering their different accuracy specification, reporting rates and measurement algorithms. Synchronized measurements could support fast linear algorithms [62], but hybrid systems seem mandatory because of the heterogeneity of available data [61]. Different algorithms have been proposed (see [38,79] for a review) considering different choices for the state and the measurement inclusion, but research and development activities are still needed for a large scale application.…”

Section: Distribution System State Estimationmentioning

confidence: 99%

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Multidisciplinary Approach for the Development of Smart Distribution Networks

Ghiani¹,

Serpi²,

Pilloni³

et al. 2018

Preprint

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Electric power systems are experiencing relevant changes involving the growing penetration of distributed generation and energy storage systems, the introduction of electric vehicles, the management of responsive loads, the proposals for new energy markets and so on. Such evolution is pushing for a paradigm shift: the management must move from traditional planning and manual intervention to full "smartization" of medium and low voltage networks. Peculiarities and criticalities of future power distribution networks originate from the complexity of the system that includes both the physical aspects of electric networks and the cyber aspects, like data elaboration, feature extraction, communication, supervision and control; only fully integrated advanced monitoring systems can foster this transition towards network automation. The design and development of such future networks require distinct kinds of expertise in the industrial and information engineering fields. In this context, this paper provides a comprehensive review of current challenges and multidisciplinary interactions in the development of smart distribution networks.

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“…The DSSE thus reaches observability by relying on the so-called pseudomeasurements [7], which include historical or forecast data on generator production and load consumption. DSSE approaches proposed in the literature are mainly based on weighted least squares (WLS) algorithms [7][8][9][10][11][12] and mainly differ between each other in the chosen state variables and in the way the different measurement types are included. In particular, two main classes of DSSE exist, based on two different choices of the underlying state vector: node voltage state estimators, NV-DSSEs (as in [7,13]) and branch current estimators, BC-DSSEs (as [8][9][10][11][12]).…”

Section: Introductionmentioning

confidence: 99%

An efficient method to include equality constraints in branch current distribution system state estimation

Muscas

Pau

Sulis

2015

EURASIP J. Adv. Signal Process.

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Distribution system state estimation is a fundamental tool for the management and control functions envisaged for future distribution grids. The design of accurate and efficient algorithms is essential to provide estimates compliant with the needed accuracy requirements and to allow the real-time operation of the different applications. To achieve such requirements, peculiarities of the distribution systems have to be duly taken into account. Branch current-based estimators are an efficient solution for performing state estimation in radial or weakly meshed networks. In this paper, a simple technique, which exploits the particular formulation of the branch current estimators, is proposed to deal with zero injection and mesh constraints. Tests performed on an unbalanced IEEE 123-bus network show the capability of the proposed method to further improve efficiency performance of branch current estimators.

show abstract

Efficient Branch-Current-Based Distribution System State Estimation Including Synchronized Measurements

Cited by 243 publications

References 29 publications

Distribution system state estimation-A step towards smart grid

Distribution system state estimation-A step towards smart grid

Multidisciplinary Approach for the Development of Smart Distribution Networks

An efficient method to include equality constraints in branch current distribution system state estimation

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