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Improving the resilience of distribution networks during transmission outages via integration of sectionalizing switches and private DG units: The case of Khuzestan Province.

Authors :
Darkhal, Peyman
Mashhour, Elaheh
Farzin, Hossein
Source :
International Transactions on Electrical Energy Systems. Dec2021, Vol. 31 Issue 12, p1-16. 16p.
Publication Year :
2021

Abstract

Summary: The purpose of this paper is to present a model for optimal placement of distributed generation units and sectionalizing switches (relocation of the existing switches and installation of new ones) to increase distribution network resilience against the threat of transmission system outage. The proposed model is formulated as a multi‐objective optimization problem with the objectives of minimizing investment costs and maximizing load restoration. In this regard, distribution system operation during normal conditions as well as transmission system outages is considered. In addition, the unique characteristics of the real power grid in Khuzestan province in southwestern of Iran are addressed in the proposed model which makes the model applicable to the real networks with similar characteristics in many parts of the Middle East. This grid has two completely different load patterns (in terms of load curve shape and peak load) corresponding to two hot and temperate periods, which causes completely different concerns for the network's operator. The proposed model is solved using multi‐objective genetic algorithm (NSGA‐II), and it is implemented on the 33‐node test system and the results are analyzed. Moreover, it is applied to the 327‐node real‐world test system in Khuzestan province to demonstrate its applicability to large networks. In both cases, the results confirm the effectiveness of the proposed optimization model. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20507038
Volume :
31
Issue :
12
Database :
Academic Search Index
Journal :
International Transactions on Electrical Energy Systems
Publication Type :
Academic Journal
Accession number :
154460534
Full Text :
https://doi.org/10.1002/2050-7038.13170