Meta-heuristics in microgrid management: A survey
dc.cclicence | CC BY | en |
dc.contributor.author | Zheng, Zedong | |
dc.contributor.author | Yang, Shengxiang | |
dc.contributor.author | Guo, Yinan | |
dc.contributor.author | Jin, Xiaolong | |
dc.contributor.author | Wang, Rui | |
dc.date.acceptance | 2023-01-24 | |
dc.date.accessioned | 2023-03-09T16:16:52Z | |
dc.date.available | 2023-03-09T16:16:52Z | |
dc.date.issued | 2023-02-07 | |
dc.description | open access article | en |
dc.description.abstract | As a small energy system, microgrid plays an important role in utilizing distributed energy resources, improving traditional energy networks, and building intelligent integrated energy systems. However, microgrid management is always a challenging optimization problem due to different factors. Meta-heuristics have been widely used to solve complex optimization problems in many fields, including energy systems. However, there is a lack of a systematic summary of the application of meta-heuristics in microgrid management. This paper aims to review the application of meta-heuristics in microgrid management, summarize the contributions and influences of different methods, and provide further insights and suggestions for future research. | en |
dc.funder | Other external funder (please detail below) | en |
dc.funder.other | National Natural Science Foundation of China | en |
dc.funder.other | Royal Society International Exchanges 2020 Cost Share (NSFC) | en |
dc.identifier.citation | Z. Zheng, S. Yang, Y. Guo, X. Jin, and R. Wang. (2023) Meta-heuristics in microgrid management: A survey. Swarm and Evolutionary Computation, 78, 101256 | en |
dc.identifier.doi | https://doi.org/10.1016/j.swevo.2023.101256 | |
dc.identifier.uri | https://hdl.handle.net/2086/22592 | |
dc.language.iso | en_US | en |
dc.peerreviewed | Yes | en |
dc.projectid | 61973305 | en |
dc.projectid | IEC\NSFC\201085 | en |
dc.publisher | Elsevier | en |
dc.researchinstitute | Institute of Artificial Intelligence (IAI) | en |
dc.subject | Meta-heuristics | en |
dc.subject | Microgrid management | en |
dc.subject | Deployment | en |
dc.subject | Operation | en |
dc.subject | Optimization application | en |
dc.title | Meta-heuristics in microgrid management: A survey | en |
dc.type | Article | en |