Referenced Items are not available for this document.
This paper presents a probabilistic approach for statistical modeling of the loads in distribution networks. In a distribution network, the probability density functions (pdfs) of loads at different buses show a number of variations and cannot be represented by any specific distribution. The approach presented in this paper represents all the load pdfs through Gaussian mixture model (GMM). The expectation maximization (EM) algorithm is used to obtain the parameters of the mixture components. The performance of the method is demonstrated on a 95-bus generic distribution network model.
Published in:
Power Systems, IEEE Transactions on
(Volume:25
,
Issue:
1
)
Date of Publication: Feb. 2010
- Page(s):
- 29 - 37
- ISSN :
- 0885-8950
- INSPEC Accession Number:
- 11074231
- Digital Object Identifier :
- 10.1109/TPWRS.2009.2030271
- Product Type:
- Journals & Magazines
- Date of Publication :
- 30 October 2009
- Date of Current Version :
- 22 January 2010
- Issue Date :
- Feb. 2010
- Sponsored by :
- IEEE Power & Energy Society
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