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Two-Stage Approach for the Assessment of Distributed Generation Capacity Mixture in Active Distribution Networks

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Jayaweera, Dilan
Islam, Syed
Neduvelil, S.
Date
2013
Type
Journal Article

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Jayaweera, D. and Islam, S. and Neduvelil, S. 2013. Two-Stage Approach for the Assessment of Distributed Generation Capacity Mixture in Active Distribution Networks. Journal of Renewable and Sustainable Energy. 5: Article ID 053120.
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Journal of Renewable and Sustainable Energy
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Copyright (2013) American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. The following article appeared in: Jayaweera, D. and Islam, S. and Neduvelil, S. 2013. Two-Stage Approach for the Assessment of Distributed Generation Capacity Mixture in Active Distribution Networks. Journal of Renewable and Sustainable Energy. 5: Article ID 053120, and may be found at http://doi.org/10.1063/1.4822252

NOTICE: This is the author’s version of a work in which changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication.

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Abstract

Distribution networks are limited with spare capacities to integrate increased volumes of distributed generation (DG). Network constraints and congestion, dynamic thermal limits, intermittent outputs, and the need for reduction in greenhouse gas emission increase the complexity of capturing optimal DG mixture that can safely permit the optimal operation. This paper investigates this problem in detail and proposes a two-stage approach for the quantification of optimal DG capacity mixture in an active distribution network. The approach is aimed at operational planning and takes into account dynamic thermal limits, network internal benefit, and network external benefit and then optimizes samples of DG mixtures through sequential simulation. A case study is performed incorporating wind and photovoltaic generation as intermittent DG and diesel units as standing reserve units. Results suggest that specific operating conditions in an active distribution network can dominate the optimal DG mixture. Wind and diesel hybrid operation can be the most beneficial DG mixture compared to any other DG combination. Dynamic thermal limits of assets can potentially control the type of DG of the optimized mixture.