State-of-the-Art Techniques and Challenges Ahead for Distributed Generation Planning and Optimization

It is difficult to estimate how much distributed generation (DG) capacity will be connected to distribution systems in the coming years; however, it is certain that increasing penetration levels require robust tools that help assess the capabilities and requirements of the networks in order to produ...

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Veröffentlicht in:IEEE transactions on power systems Jg. 28; H. 2; S. 1493 - 1502
Hauptverfasser: Keane, Andrew, Ochoa, Luis F., Borges, Carmen L. T., Ault, Graham W., Alarcon-Rodriguez, Arturo D., Currie, Robert A. F., Pilo, Fabrizio, Dent, Chris, Harrison, Gareth P.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.05.2013
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
AC optimal power flow
active network management
Biological system modeling
Conferences
Control systems
Distributed generation
distribution networks
Electricity distribution
Genetic algorithms
Linear programming
multi-objective programming
Networks
Optimization
Planning
Probabilistic logic
Reliability
State of the art
Strategy
Tasks
wind power generation
ISSN:0885-8950, 1558-0679
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Beschreibung
Zusammenfassung:It is difficult to estimate how much distributed generation (DG) capacity will be connected to distribution systems in the coming years; however, it is certain that increasing penetration levels require robust tools that help assess the capabilities and requirements of the networks in order to produce the best planning and control strategies. The work of this Task Force is focused on the numerous strategies and methods that have been developed in recent years to address DG integration and planning. This paper contains a critical review of the work in this field. Although there have been numerous publications in this area, widespread implementation of the methods has not taken place. The barriers to implementation of the advanced techniques are outlined, highlighting why network operators have been slow to pick up on the research to date. Furthermore, key challenges ahead which remain to be tackled are also described, many of which have come into clear focus with the current drive towards smarter distribution networks.
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ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2012.2214406