Title: Demand response capacity constrained optimisation of multicast routing in smart grid

Authors: Zihao Zhu; Xiaohui Li; Yuemin Ding; Zhenxing Liu

Addresses: School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, Hubei, China ' School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, Hubei, China ' School of Computer Science and Technology, Tianjin University of Technology, Tianjin, China ' Engineering Research Centre for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan, Hubei, China

Abstract: Low-latency Demand Response (DR) operation is urgently required to maintain grid stability in the context of wide area control for smart grids. Multicast-based communications are a feasible choice for reducing DR communication delay. Traditional multicast routing algorithms that only consider constraints such as bandwidth or delay will cause users with large DR capacities to need more time to perform DR operations, resulting in increased power grid frequency amplitude and adjustment time. To address this issue, a systematic approach, namely minimum Bandwidth Tree with delay and DR capacity constraint (BTDR), is presented in this paper. It enables the node with large DR capacity to connect to the multicast tree with high priority in the process of constructing the multicast tree, reducing the response time of the DR device with large DR capacity. Simulations are conducted to demonstrate the approach presented in this paper.

Keywords: smart grids; multicast routing algorithm; DR; demand response; low latency.

DOI: 10.1504/IJWMC.2020.109259

International Journal of Wireless and Mobile Computing, 2020 Vol.19 No.1, pp.33 - 41

Received: 02 Oct 2019
Accepted: 05 Mar 2020
Published online: 02 Sep 2020 *

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