A multi-agent simulation framework for distributed generation with battery storage

Peng, W, Sokolowski, P, Patel, R, Yu, X and Alahakoon, D 2017, 'A multi-agent simulation framework for distributed generation with battery storage', in Proceedings of the 26th International Symposium on Industrial Electronics (ISIE 2017), Edinburgh, United Kingdom, 19-21 June 2017, pp. 37-42.


Document type: Conference Paper
Collection: Conference Papers

Title A multi-agent simulation framework for distributed generation with battery storage
Author(s) Peng, W
Sokolowski, P
Patel, R
Yu, X
Alahakoon, D
Year 2017
Conference name ISIE 2017
Conference location Edinburgh, United Kingdom
Conference dates 19-21 June 2017
Proceedings title Proceedings of the 26th International Symposium on Industrial Electronics (ISIE 2017)
Publisher IEEE
Place of publication United States
Start page 37
End page 42
Total pages 6
Abstract Distributed Generation (DG) is a sustainable alternative energy paradigm that allows flexible customer-participated demand response management, high penetration of renewable sources and reduction of greenhouse gas emission. This paper proposes a multi-agent simulation framework that captures emerging complex responses that originate from individual household behaviors. These behaviors have been unattainable with traditional top-down simulation frameworks. The simulation results demonstrate a suboptimal policy choice may lead to unwanted energy profile responses on the distribution network.
Subjects Simulation and Modelling
Power and Energy Systems Engineering (excl. Renewable Power)
Renewable Power and Energy Systems Engineering (excl. Solar Cells)
Keyword(s) Smart grids
simulation
distributed generation
renewable virtual generation
battery storage
multi-agent
DOI - identifier 10.1109/ISIE.2017.8001220
Copyright notice © 2017 IEEE
ISBN 9781509014132
ISSN 2163-5137
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