Recent progress on the study of distributed economic dispatch in smart grid: an overview
Designing an efficient distributed economic dispatch (DED) strategy for the smart grid (SG) in the presence of multiple generators plays a paramount role in obtaining various benefits of a new generation power system, such as easy implementation, low maintenance cost, high energy efficiency, and str...
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| Vydáno v: | Frontiers of information technology & electronic engineering Ročník 22; číslo 1; s. 25 - 39 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Hangzhou
Zhejiang University Press
01.01.2021
Springer Nature B.V School of Mathematics, Southeast University, Nanjing 211189, China%School of Engineering, RMIT University, Melbourne VIC 3000, Australia%School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China |
| Témata: | |
| ISSN: | 2095-9184, 2095-9230 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | Designing an efficient distributed economic dispatch (DED) strategy for the smart grid (SG) in the presence of multiple generators plays a paramount role in obtaining various benefits of a new generation power system, such as easy implementation, low maintenance cost, high energy efficiency, and strong robustness against uncertainties. It has drawn a lot of interest from a wide variety of scientific disciplines, including power engineering, control theory, and applied mathematics. We present a state-of-the-art review of some theoretical advances toward DED in the SG, with a focus on the literature published since 2015. We systematically review the recent results on this topic and subsequently categorize them into distributed discrete- and continuous-time economic dispatches of the SG in the presence of multiple generators. After reviewing the literature, we briefly present some future research directions in DED for the SG, including the distributed security economic dispatch of the SG, distributed fast economic dispatch in the SG with practical constraints, efficient initialization-free DED in the SG, DED in the SG in the presence of smart energy storage batteries and flexible loads, and DED in the SG with artificial intelligence technologies. |
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| Bibliografie: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 2095-9184 2095-9230 |
| DOI: | 10.1631/FITEE.2000205 |