LAPSE:2023.30427
Published Article
LAPSE:2023.30427
A Novel Multi-Area Distribution State Estimation Approach for Active Networks
Mohammad Gholami, Ali Abbaspour Tehrani-Fard, Matti Lehtonen, Moein Moeini-Aghtaie, Mahmud Fotuhi-Firuzabad
April 14, 2023
This paper presents a hierarchically distributed algorithm for the execution of distribution state estimation function in active networks equipped with some phasor measurement units. The proposed algorithm employs voltage-based state estimation in rectangular form and is well-designed for large-scale active distribution networks. For this purpose, as the first step, the distribution network is supposed to be divided into some overlapped zones and local state estimations are executed in parallel for extracting operating states of these zones. Then, using coordinators in the feeders and the substation, the estimated local voltage profiles of all zones are coordinated with the local state estimation results of their neighboring zones. In this regard, each coordinator runs a state estimation process for the border buses (overlapped buses and buses with tie-lines) of its zones and based on the results for voltage phasor of border buses, the local voltage profiles in non-border buses of its zones are modified. The performance of the proposed algorithm is tested with an active distribution network, considering different combinations of operating conditions, network topologies, network decompositions, and measurement scenarios, and the results are presented and discussed.
Keywords
active distribution networks, decentralized control strategy, multi-area state estimation, phasor measurement units, weighted least square
Suggested Citation
Gholami M, Tehrani-Fard AA, Lehtonen M, Moeini-Aghtaie M, Fotuhi-Firuzabad M. A Novel Multi-Area Distribution State Estimation Approach for Active Networks. (2023). LAPSE:2023.30427
Author Affiliations
Gholami M: Department of Electrical Engineering, Sharif University of Technology, Azadi Ave., Tehran 15119-43943, Iran [ORCID]
Tehrani-Fard AA: Department of Electrical Engineering, Sharif University of Technology, Azadi Ave., Tehran 15119-43943, Iran
Lehtonen M: Department of Electrical Engineering, Aalto University, P.O. Box 15500, 00076 Espoo, Finland [ORCID]
Moeini-Aghtaie M: Department of Energy Engineering, Sharif University of Technology, Azadi Ave., Tehran 15119-43943, Iran
Fotuhi-Firuzabad M: Department of Electrical Engineering, Sharif University of Technology, Azadi Ave., Tehran 15119-43943, Iran
Journal Name
Energies
Volume
14
Issue
6
First Page
1772
Year
2021
Publication Date
2021-03-23
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14061772, Publication Type: Journal Article
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LAPSE:2023.30427
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doi:10.3390/en14061772
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Apr 14, 2023
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