A distributed event-triggered control strategy for DC microgrids based on publish-subscribe model over industrial wireless sensor networks

Alavi, S.A., Mehran, K., Hao, Y., Rahimian, A., Mirsaeedi, H. and Vahidinasab, V. ORCID: 0000-0002-0779-8727, 2019. A distributed event-triggered control strategy for DC microgrids based on publish-subscribe model over industrial wireless sensor networks. IEEE Transactions on Smart Grid, 10 (4), pp. 4323-4337. ISSN 1949-3053

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Abstract

This paper presents a complete design, analysis, and performance evaluation of a novel distributed event-triggered control and estimation strategy for dc microgrids. The primary objective of this work is to efficiently stabilize the grid voltage, and to further balance the energy level of the energy storage systems. The locally-installed distributed controllers are utilized to reduce the number of transmitted packets and battery usage of the installed sensors, based on a proposed event-triggered communication scheme. Also, to reduce the network traffic, an optimal observer is employed which utilizes a modified Kalman consensus filter to estimate the state of the dc microgrid via the distributed sensors. Furthermore, in order to effectively provide an intelligent data exchange mechanism for the proposed event-triggered controller, the publish-subscribe communication model is employed to setup a distributed control infrastructure in industrial wireless sensor networks. The performance of the proposed control and estimation strategy is validated via the simulations of a dc microgrid composed of renewable energy sources. The results confirm the appropriateness of the implemented strategy for the optimal utilization of the advanced industrial network architectures in the smart grids.

Item Type: Journal article
Publication Title: IEEE Transactions on Smart Grid
Creators: Alavi, S.A., Mehran, K., Hao, Y., Rahimian, A., Mirsaeedi, H. and Vahidinasab, V.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: July 2019
Volume: 10
Number: 4
ISSN: 1949-3053
Identifiers:
NumberType
10.1109/tsg.2018.2856893DOI
1639217Other
Rights: This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/
Divisions: Schools > School of Science and Technology
Record created by: Laura Ward
Date Added: 27 Jan 2023 14:48
Last Modified: 27 Jan 2023 14:48
URI: https://irep.ntu.ac.uk/id/eprint/48094

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