A Review of Architectures and Concepts for Intelligence in Future Electric Energy Systems

Renewable energy sources are one key enabler to decrease greenhouse gas emissions and to cope with the anthropogenic climate change. Their intermittent behavior and limited storage capabilities present a new challenge to power system operators to maintain power quality and reliability. Additional te...

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Vydané v:IEEE transactions on industrial electronics (1982) Ročník 62; číslo 4; s. 2424 - 2438
Hlavní autori: Strasser, Thomas, Andren, Filip, Kathan, Johannes, Cecati, Carlo, Buccella, Concettina, Siano, Pierluigi, Leitao, Paulo, Zhabelova, Gulnara, Vyatkin, Valeriy, Vrba, Pavel, Marik, Vladimir
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.04.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Ancillary services
Artificial intelligence
Automation
automation architectures
Climate change
control concepts
demand response
demand side management
Density estimation robust algorithm
Dependable Communication and Computation Systems
distributed generation
Electric utilities
Emission standards
Energy policy
energy storage
inverters
Kommunikations- och beräkningssystem
micro-grid
power balancing
power networks
power system automation
re-newable energy sources
smart grid
Smart grids
Voltage control
demand response (DR)
smart grid
renewable energy sources
control concepts
power balancing
Ancillary services
standards
power networks
distributed generation
power system automation
energy storage
microgrid
inverters
automation architectures
demand-side management (DSM)
ISSN:0278-0046, 1557-9948, 1557-9948
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Popis
Shrnutí:Renewable energy sources are one key enabler to decrease greenhouse gas emissions and to cope with the anthropogenic climate change. Their intermittent behavior and limited storage capabilities present a new challenge to power system operators to maintain power quality and reliability. Additional technical complexity arises from the large number of small distributed generation units and their allocation within the power system. Market liberalization and changing regulatory framework lead to additional organizational complexity. As a result, the design and operation of the future electric energy system have to be redefined. Sophisticated information and communication architectures, automation concepts, and control approaches are necessary in order to manage the higher complexity of so-called smart grids. This paper provides an overview of the state of the art and recent developments enabling higher intelligence in future smart grids. The integration of renewable sources and storage systems into the power grids is analyzed. Energy management and demand response methods and important automation paradigms and domain standards are also reviewed.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0278-0046
1557-9948
1557-9948
DOI:10.1109/TIE.2014.2361486