Online energy sharing for nanogrid clusters: A lyapunov optimization approach

Liu, N, Yu, X, Fan, W, Hu, C, Rui, T, Chen, Q and Zhang, J 2018, 'Online energy sharing for nanogrid clusters: A lyapunov optimization approach', IEEE Transactions on Smart Grid, vol. 9, no. 5, pp. 4624-4636.

Document type: Journal Article
Collection: Journal Articles

Title Online energy sharing for nanogrid clusters: A lyapunov optimization approach
Author(s) Liu, N
Yu, X
Fan, W
Hu, C
Rui, T
Chen, Q
Zhang, J
Year 2018
Journal name IEEE Transactions on Smart Grid
Volume number 9
Issue number 5
Start page 4624
End page 4636
Total pages 13
Publisher IEEE
Abstract Nanogrid (NG) cluster (NGC) has the potential to act as one type of basic structure for the future low voltage distribution networks. In this paper, an online energy sharing method is proposed for improving the self-sufficiency and photovoltaic (PV) consumption of NGC. First, a hybrid cyber-physical peer-to-peer (P2P) energy sharing framework is proposed, which is a combination of P2P physical system (i.e., NG-to-NG) and client-server cyber system (i.e., NG controllers-central controller). Moreover, an energy sharing strategy with the classification of energy exporting and importing NGs is designed. Considering the stochastic features of PV energy and end user load, an online optimization model and algorithm is formulated based on Lyapunov optimization, as to maximize the self-sufficiency and guarantee the stability of energy storage queues. Finally, in a case study using the realistic data from the residential community, numerical experiments show the effectiveness of the proposed method in improving the self-sufficiency of NGC.
Subject Electrical and Electronic Engineering not elsewhere classified
Keyword(s) Cyber-physical system
Energy sharing
Lyapunov optimization
DOI - identifier 10.1109/TSG.2017.2665634
Copyright notice © 2017 IEEE
ISSN 1949-3053
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