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Issue title: Mathematical Modelling in Computational and Life Sciences
Guest editors: Ahmed Farouk
Article type: Research Article
Authors: Hu, Jianqianga | Cao, Jindea; * | Abdel-Aty, M.b; c
Affiliations: [a] Jiangsu Provincial Key Laboratory of Networked Collective Intelligence, and School of Mathematics, Southeast University, Nanjing, China | [b] Center for Photonics and Smart Materials, Zewail City of Science and Technology, Egypt | [c] Mathematics Department, Faculty of Sciences, Sohag University, Egypt
Correspondence: [*] Corresponding author: J. Cao, School of Mathematics, Southeast University, Nanjing 211189, China. E-mail: [email protected].
Abstract: This paper proposes a distributed aggregate tracking strategy for multiple heterogeneous TCL (thermostatically controlled load) clusters under a bus load agent. Specifically, these heterogeneous TCLs are composed of lots of homogeneous load clusters and each one can be modeled by a TISO (third-input single-output) aggregate model with the aggregate power being the output, and the changes of ambient/setpoint temperature and the ramping rate of the setpoint temperature being inputs. According to the aggregate model of the TCL cluster, a distributed leader-following communication protocol is proposed such that each cluster just needs to communicate with its neighbors and partial clusters are connected to the load agent, and then the aggregate power tracking problem can be solved in a distributed way. Finally, numerical results are conducted to demonstrate the effectiveness and performance of the proposed aggregate tracking algorithm.
Keywords: Aggregate tracking, distributed control, thermostatically controlled loads (TCLs)
DOI: 10.3233/JIFS-179540
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 2529-2537, 2020
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