Quantitative techniques for analysis of large data sets in renewable distributed generation Academic Article

abstract

• Distributed generation (DG) reduces losses and eliminates some of the transmission and distribution costs. It may also reduce fossil fuel emissions, defer capital costs, and improve the distribution feeder voltage conditions. The calculation of the effects of small residential photovoltaic and wind DG systems on various feeder operating variables is complicated by both the probabilistic nature of their output and the variety of their possible spatial allocations. A method based on a combination of clustering techniques anda convex hull algorithm is proposed that may reduce the computational burden by an order of magnitude, while still allowing accurate estimation of DG-enhanced feeder operation. 2004 IEEE.

authors

• Begovic, Miroslav

published proceedings

• IEEE Transactions on Power Systems

author list (cited authors)

• Pregelj, A., Begovic, M., & Rohatgi, A.

citation count

• 32

complete list of authors

• Pregelj, A||Begovic, M||Rohatgi, A

publication date

• August 2004

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE TRANSACTIONS ON POWER SYSTEMS  Journal

keywords

• 13 Climate Action
• 7 Affordable And Clean Energy

Digital Object Identifier (DOI)

• 10.1109/tpwrs.2004.831278

start page

• 1277

end page

• 1285

volume

• 19

issue

• 3

URL

• http://dx.doi.org/10.1109/tpwrs.2004.831278

user-defined tag

• 13 Climate Action
• 7 Affordable and Clean Energy