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Recent progress on the study of distributed economic dispatch in smart grid: an overview
- Source :
- Frontiers of Information Technology & Electronic Engineering. 22:25-39
- Publication Year :
- 2021
- Publisher :
- Zhejiang University Press, 2021.
-
Abstract
- 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.
- Subjects :
- Computer Networks and Communications
Computer science
020209 energy
020208 electrical & electronic engineering
Economic dispatch
02 engineering and technology
Variety (cybernetics)
Electric power system
Smart grid
Hardware and Architecture
Robustness (computer science)
Control theory
Signal Processing
0202 electrical engineering, electronic engineering, information engineering
Systems engineering
Power engineering
Electrical and Electronic Engineering
Scientific disciplines
Subjects
Details
- ISSN :
- 20959230 and 20959184
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- Frontiers of Information Technology & Electronic Engineering
- Accession number :
- edsair.doi...........f37155514ef86c1e1d94a9b7459302f4
- Full Text :
- https://doi.org/10.1631/fitee.2000205