Optimum clustering of active distribution networks using back tracking search algorithm

Osama, RA and Abdelaziz, AY and Swief, RA and Ezzat, M and Saket, RK and Anand Kumar, KS (2016) Optimum clustering of active distribution networks using back tracking search algorithm. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9873. pp. 235-246. ISSN 03029743

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Official URL: https://link.springer.com/chapter/10.1007/978-3-31...


A microgrid has become the main building block of future distribution networks, demanding a systematic procedure for its optimal construction. Large distribution systems can be divided into clusters of distributed energy resources serving a group of distributed loads, known as microgrids to facilitate powerful control and operation. This paper compares the clustering of smart distribution systems into a set of microgrids based on two different objective functions. The probabilistic nature of intermittent distributed generators and loads is considered by performing a probabilistic Backward-Forward sweep power flow. The probabilistic approach aims to determine the optimal virtual cut set lines that split the system into self sufficient microgrids. The Back Tracking Search optimization algorithm is used to cluster a 69-bus distribution system with optimally allocated distributed generation units. The design concept, problem formulation, solution algorithms, probabilistic model and other graph related theories are presented in this paper.

Item Type: Article
Subjects: ENGINEERING > Electronics and Electrical Engineering
MATHEMATICAL AND COMPUTER SCIENCES > Mathematical and Computer Scienes(General)
MATHEMATICAL AND COMPUTER SCIENCES > Computer Programming and Software
Depositing User: Mrs SK Pratibha
Date Deposited: 18 May 2022 15:50
Last Modified: 18 May 2022 15:50
URI: http://nal-ir.nal.res.in/id/eprint/12868

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