Agent-based distributed demand response in district heating systems

Hanmin Cai, Shi You*, Jianzhong Wu

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Current district heating systems are moving towards 4th generation district heating in which end-users play an active role in system operation. Research has shown that optimising buildings' heating demands can release network congestion and contribute to reducing primary energy usages. Coupled with end-user privacy concerns, an approach in which buildings jointly optimise their heating demands while preserving privacy needs to be investigated. In view of this need, we have developed a distributed demand response approach based on exchange ADMM to support distributed agent-based heating demand optimisation for the district heating system with minimal private information exchanges. This paper summarises mathematical derivation, simulation and implementation of the proposed approach. The results show that the proposed approach obtained the same results as its centralised counterpart proposed in the existing literature and the sensible information exchanges were substantially reduced. An implementation at multiple spatial scales and time scales on micro-controllers and a communication system validates the proposed approach in a practical context. In conclusion, the proposed approach is suitable for real-world implementation in a large-scale district heating system.

Original languageEnglish
Article number114403
JournalApplied Energy
Volume262
Number of pages13
ISSN0306-2619
DOIs
Publication statusPublished - 15 Mar 2020

Keywords

  • ADMM
  • Distributed demand response
  • District heating

Cite this

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title = "Agent-based distributed demand response in district heating systems",
abstract = "Current district heating systems are moving towards 4th generation district heating in which end-users play an active role in system operation. Research has shown that optimising buildings' heating demands can release network congestion and contribute to reducing primary energy usages. Coupled with end-user privacy concerns, an approach in which buildings jointly optimise their heating demands while preserving privacy needs to be investigated. In view of this need, we have developed a distributed demand response approach based on exchange ADMM to support distributed agent-based heating demand optimisation for the district heating system with minimal private information exchanges. This paper summarises mathematical derivation, simulation and implementation of the proposed approach. The results show that the proposed approach obtained the same results as its centralised counterpart proposed in the existing literature and the sensible information exchanges were substantially reduced. An implementation at multiple spatial scales and time scales on micro-controllers and a communication system validates the proposed approach in a practical context. In conclusion, the proposed approach is suitable for real-world implementation in a large-scale district heating system.",
keywords = "ADMM, Distributed demand response, District heating",
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Agent-based distributed demand response in district heating systems. / Cai, Hanmin; You, Shi; Wu, Jianzhong.

In: Applied Energy, Vol. 262, 114403, 15.03.2020.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Agent-based distributed demand response in district heating systems

AU - Cai, Hanmin

AU - You, Shi

AU - Wu, Jianzhong

PY - 2020/3/15

Y1 - 2020/3/15

N2 - Current district heating systems are moving towards 4th generation district heating in which end-users play an active role in system operation. Research has shown that optimising buildings' heating demands can release network congestion and contribute to reducing primary energy usages. Coupled with end-user privacy concerns, an approach in which buildings jointly optimise their heating demands while preserving privacy needs to be investigated. In view of this need, we have developed a distributed demand response approach based on exchange ADMM to support distributed agent-based heating demand optimisation for the district heating system with minimal private information exchanges. This paper summarises mathematical derivation, simulation and implementation of the proposed approach. The results show that the proposed approach obtained the same results as its centralised counterpart proposed in the existing literature and the sensible information exchanges were substantially reduced. An implementation at multiple spatial scales and time scales on micro-controllers and a communication system validates the proposed approach in a practical context. In conclusion, the proposed approach is suitable for real-world implementation in a large-scale district heating system.

AB - Current district heating systems are moving towards 4th generation district heating in which end-users play an active role in system operation. Research has shown that optimising buildings' heating demands can release network congestion and contribute to reducing primary energy usages. Coupled with end-user privacy concerns, an approach in which buildings jointly optimise their heating demands while preserving privacy needs to be investigated. In view of this need, we have developed a distributed demand response approach based on exchange ADMM to support distributed agent-based heating demand optimisation for the district heating system with minimal private information exchanges. This paper summarises mathematical derivation, simulation and implementation of the proposed approach. The results show that the proposed approach obtained the same results as its centralised counterpart proposed in the existing literature and the sensible information exchanges were substantially reduced. An implementation at multiple spatial scales and time scales on micro-controllers and a communication system validates the proposed approach in a practical context. In conclusion, the proposed approach is suitable for real-world implementation in a large-scale district heating system.

KW - ADMM

KW - Distributed demand response

KW - District heating

U2 - 10.1016/j.apenergy.2019.114403

DO - 10.1016/j.apenergy.2019.114403

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VL - 262

JO - Applied Energy

JF - Applied Energy

SN - 0306-2619

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