A novel multi-agent based crisscross algorithm with hybrid neighboring topology for combined heat and power economic dispatch

Tianmin Zhou, Jiamin Chen, Xuancong Xu, Zuhong Ou, Hao Yin, Jianqiang Luo and Anbo Meng

Applied Energy, 2023, vol. 342, issue C, No S0306261923005317

Abstract: Combined heat and power economic dispatch (CHPED) is a challenging optimization problem with characteristics like non-convexity, discontinuity, and non-differentiability. Although the crisscross optimization (CSO) algorithm can alleviate the premature convergence faced by most swarm optimization algorithms, it has a slow convergence speed to approximate the global optimum, especially at the late period of evolutionary process. To address the issue, a novel hybrid neighboring topology based multi-agent crisscross algorithm (HNT-MACSO) is proposed to enhance the balance ability of exploration and exploitation. First, based on the graph theory, the population particles of CSO are structured with two topologies, i.e., the random topology and the small world topology respectively. Second, a hybrid neighboring topology is established by applying the information relay register, aiming to improve the robustness of CSO. Third, the separate CSOs assigned to different topologies are deployed on a multi-agent system (MAS), which enables a flexible and robust distributed evolving environment for all agents to search in an independent and asynchronous optimization manner. Furthermore, five cogeneration systems are tested, and experimental results show that the proposed HNT-MACSO outperforms other state-of-the-art algorithms in terms of solution accuracy and runtime, which confirms the effectiveness and superiority of HNT-MACSO for large-scale CHPED problems.

Keywords: Hybrid neighboring topology; Combined heat and power economic dispatch; Distributed computation; Multi-agent system; Information relay register (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261923005317
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:342:y:2023:i:c:s0306261923005317

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2023.121167

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().