Distributed Finite-Time Economic Dispatch of a Network of Energy Resources

The physical power infrastructure is moving from the centralized structure to the distributed structure for enabling integration of distributed energy resources. Due to the large number of distributed energy resources, optimal resource allocation is an important and challenging problem. To solve thi...

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Vydané v:IEEE transactions on smart grid Ročník 8; číslo 2; s. 822 - 832
Hlavní autori: Gang Chen, Jianghong Ren, Feng, E. Ning
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Piscataway IEEE 01.03.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Artificial neural networks
consensus
Convergence
Distributed generation
distributed optimization algorithm
Economic dispatch
Economics
Electric power generation
Electric utilities
Electricity distribution
Electricity generation
Energy resources
Energy sources
Generators
multi-agent systems
Power dispatch
Power generation
Resource allocation
Resource management
ISSN:1949-3053, 1949-3061
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Popis
Shrnutí:The physical power infrastructure is moving from the centralized structure to the distributed structure for enabling integration of distributed energy resources. Due to the large number of distributed energy resources, optimal resource allocation is an important and challenging problem. To solve this problem, a distributed and fast economic dispatch algorithm is provided to share the power generation task in an optimized fashion among a set of distributed energy resources, which can address both generation-demand equality and generation capacity inequality constraints. Different from most existing economic dispatch algorithms, the finite-time convergence to the optimal value is achieved, which makes more sense in real applications. Several case studies are discussed and tested to validate the proposed methods.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2016.2516017