State-of-the-art techniques and challenges ahead for distributed generation planning and optimization
Kean, A. and Ochoa, L.F. and Borges, C.L.T. and Ault, Graham and Alarcon Rodriguez, Arturo Daniel and Currie, Robert Alastair Fraser and Pilo, F. and Dent, C. and Harrison, G.P. (2013) State-of-the-art techniques and challenges ahead for distributed generation planning and optimization. In: UNSPECIFIED. (In Press) (https://doi.org/10.1109/TPWRS.2012.2214406)
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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.
ORCID iDs
Kean, A., Ochoa, L.F., Borges, C.L.T., Ault, Graham ORCID: https://orcid.org/0000-0001-6369-4300, Alarcon Rodriguez, Arturo Daniel, Currie, Robert Alastair Fraser, Pilo, F., Dent, C. and Harrison, G.P.;-
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Item type: Conference or Workshop Item(Paper) ID code: 43186 Dates: DateEvent2013Published2013AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 13 Mar 2013 12:04 Last modified: 11 Nov 2024 16:36 URI: https://strathprints.strath.ac.uk/id/eprint/43186