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Regression-Based Self-Triggered Control of Distributed Economic Dispatch over Lossy Communication Channels

Author

Listed:
  • Zohaib Ijaz

    (School of Computer Science and IT, University College Cork, T12 K8AF Cork, Ireland)

  • Jobish John

    (School of Computer Science and IT, University College Cork, T12 K8AF Cork, Ireland)

  • Md. Noor-A-Rahim

    (School of Computer Science and IT, University College Cork, T12 K8AF Cork, Ireland)

  • Dirk Pesch

    (School of Computer Science and IT, University College Cork, T12 K8AF Cork, Ireland)

Abstract

An essential building block of today’s smart grids is the integration of various renewable power generators into the system. Renewable distributed generators (DGs) provide environment friendly energy at a low cost. In this work, a distributed economic dispatch (ED) system is considered for renewable DGs to address the scalability challenge and reduce single points of failure compared to a centralised ED system. A consensus control mechanism is devised to achieve the incremental cost (IC) consensus among the DGs and utilise a self-triggered control (STC) mechanism to reduce the communication of the distributed DG system. A lossy communication channel between local DGs is considered in this work, which can arise from power lines or congestion on noisy wireless communication channels. A regression-based estimation approach is proposed to account for lost or corrupted data. The proposed method is compared with a centralised ED system and periodic communication. The proposed STC approach achieves the same level of performance as periodic communication while using half the communication resources.

Suggested Citation

  • Zohaib Ijaz & Jobish John & Md. Noor-A-Rahim & Dirk Pesch, 2024. "Regression-Based Self-Triggered Control of Distributed Economic Dispatch over Lossy Communication Channels," Energies, MDPI, vol. 17(3), pages 1-16, January.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:3:p:658-:d:1329596
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    References listed on IDEAS

    as
    1. Yuan Fan & Chengxiao Zhang & Cheng Song, 2018. "Sampling-based self-triggered coordination control for multi-agent systems with application to distributed generators," International Journal of Systems Science, Taylor & Francis Journals, vol. 49(15), pages 3048-3062, November.
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