Distributed Fixed-Time Economic Dispatch with Stochastic Event-Triggered Mechanism

Xiao LU; Meng LUAN; Ying WAN

doi:10.1007/978-981-97-3336-1_41

Distributed Fixed-Time Economic Dispatch with Stochastic Event-Triggered Mechanism

Xiao LU
, Meng LUAN
, Ying WAN^*

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

Abstract

This paper presents a distributed fixed-time algorithm for solving the economic dispatch problem (EDP) utilizing a stochastic event-triggered mechanism. In contrast to the existing event-triggered laws relying on sign functions in the literature, the proposed distributed algorithm converges to the optimal value with a low average communication rate. Moreover, the algorithm can consistently maintain the supply and demand balance constraint, eliminating the initial values requirement. Furthermore, the event-triggered law has been theoretically proven to avoid the Zeno behavior. Finally, simulations are conducted to validate the effectiveness of the algorithm.

Original language	English
Title of host publication	Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control : Swarm Decision and Planning Technologies
Editors	Xiaoduo LI, Xun SONG, Yingjiang ZHOU
Publisher	Springer Singapore
Pages	478-489
Number of pages	12
ISBN (Electronic)	9789819733361
ISBN (Print)	9789819733354
DOIs	https://doi.org/10.1007/978-981-97-3336-1_41
Publication status	Published - 2024
Externally published	Yes

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1207 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

Funding

This work was supported in part by the National Key Research and Development Program of China under Grant No. 2022YFA1004702, in part by the National Natural Science Foundation of China under Grant Nos. 62106042, in part by the Natural Science Foundation of Jiangsu Province of China under Grant Nos. BK20210211 and BK20222003.

Keywords

distributed fixed-time optimization
Economic dispatch
stochastic event-triggered law

Access to Document

10.1007/978-981-97-3336-1_41

Cite this

LU, X., LUAN, M., & WAN, Y. (2024). Distributed Fixed-Time Economic Dispatch with Stochastic Event-Triggered Mechanism. In X. LI, X. SONG, & Y. ZHOU (Eds.), Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control : Swarm Decision and Planning Technologies (pp. 478-489). (Lecture Notes in Electrical Engineering; Vol. 1207 LNEE). Springer Singapore. https://doi.org/10.1007/978-981-97-3336-1_41

LU, Xiao ; LUAN, Meng ; WAN, Ying. / Distributed Fixed-Time Economic Dispatch with Stochastic Event-Triggered Mechanism. Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control : Swarm Decision and Planning Technologies. editor / Xiaoduo LI ; Xun SONG ; Yingjiang ZHOU. Springer Singapore, 2024. pp. 478-489 (Lecture Notes in Electrical Engineering).

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abstract = "This paper presents a distributed fixed-time algorithm for solving the economic dispatch problem (EDP) utilizing a stochastic event-triggered mechanism. In contrast to the existing event-triggered laws relying on sign functions in the literature, the proposed distributed algorithm converges to the optimal value with a low average communication rate. Moreover, the algorithm can consistently maintain the supply and demand balance constraint, eliminating the initial values requirement. Furthermore, the event-triggered law has been theoretically proven to avoid the Zeno behavior. Finally, simulations are conducted to validate the effectiveness of the algorithm.",

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LU, X, LUAN, M & WAN, Y 2024, Distributed Fixed-Time Economic Dispatch with Stochastic Event-Triggered Mechanism. in X LI, X SONG & Y ZHOU (eds), Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control : Swarm Decision and Planning Technologies. Lecture Notes in Electrical Engineering, vol. 1207 LNEE, Springer Singapore, pp. 478-489. https://doi.org/10.1007/978-981-97-3336-1_41

Distributed Fixed-Time Economic Dispatch with Stochastic Event-Triggered Mechanism. / LU, Xiao; LUAN, Meng; WAN, Ying.
Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control : Swarm Decision and Planning Technologies. ed. / Xiaoduo LI; Xun SONG; Yingjiang ZHOU. Springer Singapore, 2024. p. 478-489 (Lecture Notes in Electrical Engineering; Vol. 1207 LNEE).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

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T1 - Distributed Fixed-Time Economic Dispatch with Stochastic Event-Triggered Mechanism

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N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

PY - 2024

Y1 - 2024

N2 - This paper presents a distributed fixed-time algorithm for solving the economic dispatch problem (EDP) utilizing a stochastic event-triggered mechanism. In contrast to the existing event-triggered laws relying on sign functions in the literature, the proposed distributed algorithm converges to the optimal value with a low average communication rate. Moreover, the algorithm can consistently maintain the supply and demand balance constraint, eliminating the initial values requirement. Furthermore, the event-triggered law has been theoretically proven to avoid the Zeno behavior. Finally, simulations are conducted to validate the effectiveness of the algorithm.

AB - This paper presents a distributed fixed-time algorithm for solving the economic dispatch problem (EDP) utilizing a stochastic event-triggered mechanism. In contrast to the existing event-triggered laws relying on sign functions in the literature, the proposed distributed algorithm converges to the optimal value with a low average communication rate. Moreover, the algorithm can consistently maintain the supply and demand balance constraint, eliminating the initial values requirement. Furthermore, the event-triggered law has been theoretically proven to avoid the Zeno behavior. Finally, simulations are conducted to validate the effectiveness of the algorithm.

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LU X, LUAN M, WAN Y. Distributed Fixed-Time Economic Dispatch with Stochastic Event-Triggered Mechanism. In LI X, SONG X, ZHOU Y, editors, Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control : Swarm Decision and Planning Technologies. Springer Singapore. 2024. p. 478-489. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-97-3336-1_41

Distributed Fixed-Time Economic Dispatch with Stochastic Event-Triggered Mechanism

Abstract

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Keywords

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