Determining the Optimum Network Division Scheme for Multi-area Distribution System State Estimation

Mohammad Gholami, Sajjad Fattaheian Dehkordi, Ali Abbaspour-Tehrani-Fard, Moein Moeini-Aghtaie, Mahmoud Fotuhi-Firuzabad, Matti Lehtonen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)

Abstract

Regarding the weaknesses accounted for the centralized distribution state estimation (DSE), proposing decentralized formulations have been remarked in large distribution systems. However, predefined network division is usually assumed in the previous work and the effect of zone size (or the number of network zones) on the performance of the multi-area DSE procedures has not been investigated. In response, this paper presents a procedure to determine the optimum network division scheme for the decentralized execution of DSE in active distribution networks. For this purpose, an algorithm for dividing the network into all possible zone sizes is proposed. As the first step, the network is divided into the maximum number of zones, and then neighboring zones are grouped step by step to increase the network zone sizes and obtain all network division scenarios. Finally, the hierarchically distributed DSE method is executed to estimate the network condition in all of these scenarios and the cost-effective scenario is recognized based on the newly introduced performance index composed of accuracy and runtime indices. The performance of the proposed method is tested on the revised generic 77-bus UK distribution network as an active network, and the results are presented and discussed.
Original languageEnglish
Title of host publication2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)
PublisherIEEE
Number of pages6
ISBN (Electronic)978-1-6654-4875-8
ISBN (Print)978-1-6654-4876-5
DOIs
Publication statusPublished - 2021
MoE publication typeA4 Conference publication
EventIEEE PES Europe Conference on Innovative Smart Grid Technologies - Aalto University, Espoo, Finland
Duration: 18 Oct 202121 Oct 2021
https://ieee-isgt-europe.org/

Conference

ConferenceIEEE PES Europe Conference on Innovative Smart Grid Technologies
Abbreviated titleISGT-Europe
Country/TerritoryFinland
CityEspoo
Period18/10/202121/10/2021
Internet address

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