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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Published in:	IEEE transactions on power systems Vol. 28; no. 2; pp. 1493 - 1502
Main Authors:	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
Language:	English
Published:	New York IEEE 01.05.2013 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
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Abstract	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.
AbstractList	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.
Author	Ochoa, Luis F. Pilo, Fabrizio Borges, Carmen L. T. Ault, Graham W. Alarcon-Rodriguez, Arturo D. Currie, Robert A. F. Dent, Chris Harrison, Gareth P. Keane, Andrew
Author_xml	– sequence: 1 givenname: Andrew surname: Keane fullname: Keane, Andrew email: andrew.keane@ucd.ie – sequence: 2 givenname: Luis F. surname: Ochoa fullname: Ochoa, Luis F. email: luis_ochoa@ieee.org – sequence: 3 givenname: Carmen L. T. surname: Borges fullname: Borges, Carmen L. T. – sequence: 4 givenname: Graham W. surname: Ault fullname: Ault, Graham W. – sequence: 5 givenname: Arturo D. surname: Alarcon-Rodriguez fullname: Alarcon-Rodriguez, Arturo D. – sequence: 6 givenname: Robert A. F. surname: Currie fullname: Currie, Robert A. F. – sequence: 7 givenname: Fabrizio surname: Pilo fullname: Pilo, Fabrizio – sequence: 8 givenname: Chris surname: Dent fullname: Dent, Chris – sequence: 9 givenname: Gareth P. surname: Harrison fullname: Harrison, Gareth P.
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Snippet	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...
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SubjectTerms	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
Title	State-of-the-Art Techniques and Challenges Ahead for Distributed Generation Planning and Optimization
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