Flexible Transmission Network Planning Considering the Impacts of Distributed Generation
AbstractThe restructuring of global power industries has introduced a number of challenges, such as conflicting planning objectives and increasing uncertainties,to transmission network planners. During the recent past, a number of distributed generation technologies also reached a stage allowing large scale implementation, which will profoundly influence the power industry, as well as the practice of transmission network expansion. In the new market environment, new approaches are needed to meet the above challenges. In this paper, a market simulation based method is employed to assess the economical attractiveness of different generation technologies, based on which future scenarios of generation expansion can be formed. A multi-objective optimization model for transmission expansion planning is then presented. A novel approach is proposed to select transmission expansion plans that are flexible given the uncertainties of generation expansion, system load and other market variables. Comprehensive case studies will be conducted to investigate the performance of our approach. In addition, the proposed method will be employed to study the impacts of distributed generation, especially on transmission expansion planning.
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Bibliographic InfoPaper provided by School of Economics, University of Queensland, Australia in its series Energy Economics and Management Group Working Papers with number 01.
Date of creation: 2010
Date of revision:
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-10-23 (All new papers)
- NEP-ENE-2010-10-23 (Energy Economics)
- NEP-NET-2010-10-23 (Network Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Carley, Sanya, 2009. "Distributed generation: An empirical analysis of primary motivators," Energy Policy, Elsevier, Elsevier, vol. 37(5), pages 1648-1659, May.
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