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A Novel Multi-Area Distribution State Estimation Approach for Active Networks

Author

Listed:
  • Mohammad Gholami

    (Department of Electrical Engineering, Sharif University of Technology, Azadi Ave., Tehran 15119-43943, Iran)

  • Ali Abbaspour Tehrani-Fard

    (Department of Electrical Engineering, Sharif University of Technology, Azadi Ave., Tehran 15119-43943, Iran)

  • Matti Lehtonen

    (Department of Electrical Engineering, Aalto University, P.O. Box 15500, 00076 Espoo, Finland)

  • Moein Moeini-Aghtaie

    (Department of Energy Engineering, Sharif University of Technology, Azadi Ave., Tehran 15119-43943, Iran)

  • Mahmud Fotuhi-Firuzabad

    (Department of Electrical Engineering, Sharif University of Technology, Azadi Ave., Tehran 15119-43943, Iran)

Abstract

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.

Suggested Citation

  • Mohammad Gholami & Ali Abbaspour Tehrani-Fard & Matti Lehtonen & Moein Moeini-Aghtaie & Mahmud Fotuhi-Firuzabad, 2021. "A Novel Multi-Area Distribution State Estimation Approach for Active Networks," Energies, MDPI, vol. 14(6), pages 1-19, March.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1772-:d:522403
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    Citations

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    Cited by:

    1. Luis Vargas & Henrry Moyano, 2023. "A Novel Multi-Area Distribution State Estimation Approach with Nodal Redundancy," Energies, MDPI, vol. 16(10), pages 1-19, May.

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