Probabilistic Decentralised Control and Message Passing Framework for Future Grid

Abstract

In this paper, we propose a unified probabilistic decentralised control and message passing framework for real time control of the electrical grid which enables the development of the future smart grid. The key elements of the proposed framework are the design of local randomised controllers and probabilistic message passing methodology which enables the coordination between the designed local controllers to account for optimisation considerations on the system operation. Within the proposed framework, the electric grid is decomposed into a number of control areas. Additionally, since the frequency is the ubiquitous grid state variable, representing the balancing of active power generation and consumption, the proposed framework is demonstrated based on local Load Frequency Control (LFC). Simulation studies involving a six-area power system and three interconnection schemes are carried out to illustrate the applicability and effectiveness of the proposed approach.

Publication DOI: https://doi.org/10.1016/j.ijepes.2021.107114
Divisions: College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Mathematics
College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
College of Engineering & Physical Sciences
Additional Information: © 2021, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Funding Information: This work was supported by the Leverhulme Trust under Grant RPG-2017–337.
Uncontrolled Keywords: Decentralised control,Fully Probabilistic Control,Power systems,Probabilistic message passing,Stochastic systems control,Energy Engineering and Power Technology,Electrical and Electronic Engineering
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2021-10
Published Online Date: 2021-05-08
Accepted Date: 2021-04-12
Authors: Herzallah, Randa (ORCID Profile 0000-0001-9128-6814)
Zhou, Yuyang (ORCID Profile 0000-0002-2188-2781)

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Version: Accepted Version

Access Restriction: Restricted to Repository staff only until 8 May 2022.

License: Creative Commons Attribution Non-commercial No Derivatives


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