A two-step distribution system state estimator with grid constraints and mixed measurements

Miguel Picallo; Adolfo Anta; Bart De Schutter; Ara Panosyan

doi:10.23919/PSCC.2018.8442586

A two-step distribution system state estimator with grid constraints and mixed measurements

Miguel Picallo, Adolfo Anta, Bart De Schutter, Ara Panosyan

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

9 Citations (Scopus)

56 Downloads (Pure)

Abstract

In this paper we consider the problem of State Estimation (SE) in large-scale, 3-phase coupled, unbalanced distribution systems. More specifically, we address the problem of including mixed real-time measurements, synchronized and unsynchronized, from phasor measurement units and smart meters, into existing SE solutions. We propose a computationally efficient two-step method to update a prior solution using the measurements, while taking into account physical constraints caused by zero-injection buses. We test the method on a benchmark test feeder and show the effectiveness of the approach.

Original language	English
Title of host publication	Proceedings of 20th Power Systems Computation Conference, PSCC 2018
Place of Publication	Piscataway, NJ, USA
Publisher	IEEE
Number of pages	7
ISBN (Print)	9781910963104
DOIs	https://doi.org/10.23919/PSCC.2018.8442586
Publication status	Published - 2018
Event	20th Power Systems Computation Conference, PSCC 2018 - Dublin, Ireland Duration: 11 Jun 2018 → 15 Jun 2018 http://www.pscc2018.net/

Conference

Conference	20th Power Systems Computation Conference, PSCC 2018
Country/Territory	Ireland
City	Dublin
Period	11/06/18 → 15/06/18
Internet address	http://www.pscc2018.net/

Keywords

Distribution System State Estimation
Phasor Measurement Units
Power Flow Computation
Power System Modeling
Recursive Filtering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.23919/PSCC.2018.8442586

A two-step distribution system state estimatorAccepted author manuscript, 698 KB

Cite this

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title = "A two-step distribution system state estimator with grid constraints and mixed measurements",

abstract = "In this paper we consider the problem of State Estimation (SE) in large-scale, 3-phase coupled, unbalanced distribution systems. More specifically, we address the problem of including mixed real-time measurements, synchronized and unsynchronized, from phasor measurement units and smart meters, into existing SE solutions. We propose a computationally efficient two-step method to update a prior solution using the measurements, while taking into account physical constraints caused by zero-injection buses. We test the method on a benchmark test feeder and show the effectiveness of the approach.",

keywords = "Distribution System State Estimation, Phasor Measurement Units, Power Flow Computation, Power System Modeling, Recursive Filtering",

author = "Miguel Picallo and Adolfo Anta and {De Schutter}, Bart and Ara Panosyan",

year = "2018",

doi = "10.23919/PSCC.2018.8442586",

language = "English",

isbn = "9781910963104",

booktitle = "Proceedings of 20th Power Systems Computation Conference, PSCC 2018",

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address = "United States",

note = "20th Power Systems Computation Conference, PSCC 2018 ; Conference date: 11-06-2018 Through 15-06-2018",

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Picallo, M, Anta, A, De Schutter, B & Panosyan, A 2018, A two-step distribution system state estimator with grid constraints and mixed measurements. in Proceedings of 20th Power Systems Computation Conference, PSCC 2018., 8442586, IEEE, Piscataway, NJ, USA, 20th Power Systems Computation Conference, PSCC 2018, Dublin, Ireland, 11/06/18. https://doi.org/10.23919/PSCC.2018.8442586

A two-step distribution system state estimator with grid constraints and mixed measurements. / Picallo, Miguel; Anta, Adolfo; De Schutter, Bart et al.
Proceedings of 20th Power Systems Computation Conference, PSCC 2018. Piscataway, NJ, USA: IEEE, 2018. 8442586.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - A two-step distribution system state estimator with grid constraints and mixed measurements

AU - Picallo, Miguel

AU - Anta, Adolfo

AU - De Schutter, Bart

AU - Panosyan, Ara

PY - 2018

Y1 - 2018

N2 - In this paper we consider the problem of State Estimation (SE) in large-scale, 3-phase coupled, unbalanced distribution systems. More specifically, we address the problem of including mixed real-time measurements, synchronized and unsynchronized, from phasor measurement units and smart meters, into existing SE solutions. We propose a computationally efficient two-step method to update a prior solution using the measurements, while taking into account physical constraints caused by zero-injection buses. We test the method on a benchmark test feeder and show the effectiveness of the approach.

AB - In this paper we consider the problem of State Estimation (SE) in large-scale, 3-phase coupled, unbalanced distribution systems. More specifically, we address the problem of including mixed real-time measurements, synchronized and unsynchronized, from phasor measurement units and smart meters, into existing SE solutions. We propose a computationally efficient two-step method to update a prior solution using the measurements, while taking into account physical constraints caused by zero-injection buses. We test the method on a benchmark test feeder and show the effectiveness of the approach.

KW - Distribution System State Estimation

KW - Phasor Measurement Units

KW - Power Flow Computation

KW - Power System Modeling

KW - Recursive Filtering

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U2 - 10.23919/PSCC.2018.8442586

DO - 10.23919/PSCC.2018.8442586

M3 - Conference contribution

AN - SCOPUS:85054037990

SN - 9781910963104

BT - Proceedings of 20th Power Systems Computation Conference, PSCC 2018

PB - IEEE

CY - Piscataway, NJ, USA

T2 - 20th Power Systems Computation Conference, PSCC 2018

Y2 - 11 June 2018 through 15 June 2018

ER -

A two-step distribution system state estimator with grid constraints and mixed measurements

Abstract

Conference

Keywords

UN SDGs

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