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

Zohaib Ijaz (), Jobish John, Md. Noor-A-Rahim and Dirk Pesch ()
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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

Energies, 2024, vol. 17, issue 3, 1-16

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.

Keywords: distributed economic dispatch; distributed generators; consensus control; self-triggered control; data loss; regression-based estimations (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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