State-of-the-Art Techniques and Challenges Ahead for Distributed Generation Planning and Optimization
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|Title:||State-of-the-Art Techniques and Challenges Ahead for Distributed Generation Planning and Optimization||Authors:||Keane, Andrew
Borges, Carmen L. T.
|Permanent link:||http://hdl.handle.net/10197/4731||Date:||2012||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.||Funding Details:||Science Foundation Ireland||Type of material:||Journal Article||Publisher:||Institute of Electrical and Electronics Engineers||Copyright (published version):||2012 Institute of Electrical and Electronics Engineers||Keywords:||Distributed generation;active network management;linear programming;multi-objective programming;ac optimal power flow;wind power generation;distribution networks||DOI:||10.1109/TPWRS.2012.2214406||Language:||en||Status of Item:||Peer reviewed|
|Appears in Collections:||ERC Research Collection|
Electrical and Electronic Engineering Research Collection
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