A Probabilistic Modeling of Photo Voltaic Modules and Wind Power Generation Impact on Distribution Networks

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Title: A Probabilistic Modeling of Photo Voltaic Modules and Wind Power Generation Impact on Distribution Networks
Authors: Soroudi, Alireza
Aien, Morteza
Ehsan, Mehdi
Permanent link: http://hdl.handle.net/10197/6193
Date: Jan-2011
Online since: 2014-11-24T16:58:58Z
Abstract: The rapid growth in use of renewable intermittent energy resources, like wind turbines (WTs) and solar panels, in distribution networks has increased the need for having an accurate and efficient method of handling the uncertainties associated with these technologies. In this paper, the unsymmetrical two point estimate method (US2PEM) is used to handle the uncertainties of renewable energy resources. The uncertainty of intermittent generation of WT, photo voltaic cells, and also electric loads, as input variables, are taken into account. The variation of active losses and imported power from the main grid are defined as output variables. The US2PEM is compared to symmetrical two point estimate method, Gram-Charlier method, and Latin hypercube sampling method, where Monte Carlo simulation is used as a basis for comparison. The validity of the proposed method is examined by applying it on a standard radial 9-node distribution network and a realistic 574-node distribution network.
Type of material: Journal Article
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE Systems Journal
Volume: 6
Issue: 2
Start page: 254
End page: 259
Copyright (published version): 2011 Institute of Electrical and Electronics Engineers
Keywords: Monte Carlo simulationPV cellsWind turbineActive lossesPoint estimate method
DOI: 10.1109/JSYST.2011.2162994
Language: en
Status of Item: Peer reviewed
Appears in Collections:Electrical and Electronic Engineering Research Collection

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