Event-Triggered-Based Distributed Cooperative Energy Management for Multienergy Systems

This paper investigates the issues of day-ahead and real-time cooperative energy management for multienergy systems formed by many energy bodies. To address these issues, we propose an event-triggered-based distributed algorithm with some desirable features, namely, distributed execution, asynchrono...

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Vydané v:	IEEE transactions on industrial informatics Ročník 15; číslo 4; s. 2008 - 2022
Hlavní autori:	Li, Yushuai, Zhang, Huaguang, Liang, Xiaodong, Huang, Bonan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.04.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Cogeneration Communication Communications systems Computer simulation Distributed algorithm Distributed algorithms energy hub Energy management event-triggered Mathematical analysis multienergy system Optimization Real time Real-time systems Resistance heating Solar heating System reliability Variations Water heating
ISSN:	1551-3203, 1941-0050
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Abstract	This paper investigates the issues of day-ahead and real-time cooperative energy management for multienergy systems formed by many energy bodies. To address these issues, we propose an event-triggered-based distributed algorithm with some desirable features, namely, distributed execution, asynchronous communication, and independent calculation. First, the energy body, seen as both energy supplier and customer, is introduced for system model development. On this basis, energy bodies cooperate with each other to achieve the objective of maximizing the day-ahead social welfare and smoothing out the real-time loads variations as well as renewable resource fluctuations with the consideration of different timescale characteristics between electricity and heat power. To this end, the day-ahead and real-time energy management models are established and formulated as a class of distributed coupled optimization problem by felicitously converting some system coordinates. Such problems can be effectively solved by implementing the proposed algorithm. With the effort, each energy body can determine its owing optimal operations through only local communication and computation, resulting in enhanced system reliability, scalability, and privacy. Meanwhile, the designed communication strategy is event-triggered, which can dramatically reduce the communication among energy bodies. Simulations are provided to illustrate the effectiveness of the proposed models and algorithm.
AbstractList	This paper investigates the issues of day-ahead and real-time cooperative energy management for multienergy systems formed by many energy bodies. To address these issues, we propose an event-triggered-based distributed algorithm with some desirable features, namely, distributed execution, asynchronous communication, and independent calculation. First, the energy body, seen as both energy supplier and customer, is introduced for system model development. On this basis, energy bodies cooperate with each other to achieve the objective of maximizing the day-ahead social welfare and smoothing out the real-time loads variations as well as renewable resource fluctuations with the consideration of different timescale characteristics between electricity and heat power. To this end, the day-ahead and real-time energy management models are established and formulated as a class of distributed coupled optimization problem by felicitously converting some system coordinates. Such problems can be effectively solved by implementing the proposed algorithm. With the effort, each energy body can determine its owing optimal operations through only local communication and computation, resulting in enhanced system reliability, scalability, and privacy. Meanwhile, the designed communication strategy is event-triggered, which can dramatically reduce the communication among energy bodies. Simulations are provided to illustrate the effectiveness of the proposed models and algorithm.
Author	Huang, Bonan Liang, Xiaodong Zhang, Huaguang Li, Yushuai
Author_xml	– sequence: 1 givenname: Yushuai orcidid: 0000-0002-3043-3777 surname: Li fullname: Li, Yushuai email: lysise@126.com organization: School of Information Science and Engineering, Northeastern University, Shenyang – sequence: 2 givenname: Huaguang orcidid: 0000-0002-2375-9824 surname: Zhang fullname: Zhang, Huaguang email: hgzhang@ieee.org organization: State Key Laboratory of Synthetical Automation for Process Industries and the School of Information Science and Engineering, Northeastern University, Shenyang, China – sequence: 3 givenname: Xiaodong orcidid: 0000-0002-8089-5419 surname: Liang fullname: Liang, Xiaodong email: xliang@mun.ca organization: Department of Electrical and Computer Engineering, Memorial University of Newfoundland, St. John's, Canada – sequence: 4 givenname: Bonan surname: Huang fullname: Huang, Bonan email: huangbonan@ise.neu.edu.cn organization: School of Information Science and Engineering, Northeastern University, Shenyang
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Snippet	This paper investigates the issues of day-ahead and real-time cooperative energy management for multienergy systems formed by many energy bodies. To address...
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SubjectTerms	Algorithms Cogeneration Communication Communications systems Computer simulation Distributed algorithm Distributed algorithms energy hub Energy management event-triggered Mathematical analysis multienergy system Optimization Real time Real-time systems Resistance heating Solar heating System reliability Variations Water heating
Title	Event-Triggered-Based Distributed Cooperative Energy Management for Multienergy Systems
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