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      Distributed architecture for self-organising smart distribution systems

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          Abstract

          Automation of emerging smart distribution grids is required to operate the grid efficiently and swiftly. This study draws a vision on grid automation with agent-based cyber-physical system integration to provide a truly distributed architecture. Furthermore, this study introduces a notion of self-organising smart distribution grid that promotes the grid capability to heal and organise itself in the best-suited topology without the intervention of a central operator. The proposed architecture comprises the system of bus agents (BAs) that emulate the given grid. This emulation is used by BAs to comprehend the grid conditions, switch location and compute their representative bus voltage and partial loss and to estimate the best organisation of the BAs as well as the grid. This study details the behavioural designing of BA that incorporates the functioning above. The proposed architecture also uses an event trigger approach to initiate grid organisation, which is showcased by case studies on IEEE 33 bus system. The results showcase the efficiency of the concept regarding solution accuracy with distributed computations; computational efficiency during contingencies; architecture performance under communication latency; and fault-tolerant characteristics of the proposed architecture.

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          Most cited references 29

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          Network reconfiguration in distribution systems for loss reduction and load balancing

           F.F. Wu,  M.E. Baran (1989)
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            Operation of a Multiagent System for Microgrid Control

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              Self-Healing Resilient Distribution Systems Based on Sectionalization Into Microgrids

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                Author and article information

                Contributors
                Journal
                IET-STG
                IET Smart Grid
                IET Smart Grid
                The Institution of Engineering and Technology
                2515-2947
                3 September 2018
                1 October 2018
                December 2018
                : 1
                : 4
                : 113-122
                Affiliations
                Department of Electrical Engineering, Indian Institute of Technology Delhi , New Delhi, India
                Article
                IET-STG.2018.0029 STG.2018.0029.R1
                10.1049/iet-stg.2018.0029

                This is an open access article published by the IET under the Creative Commons Attribution -NonCommercial License ( http://creativecommons.org/licenses/by-nc/3.0/)

                Page count
                Pages: 0
                Product
                Funding
                Funded by: Department of Science and Technology, Ministry of Science and Technology
                Award ID: INT/NL/SEG/P-2/2014 (C)
                Categories
                Research Article

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