Affine-Type Model of Variable Renewable Energy and Its Application in the Uncertain Power Flow. (October 2020)
- Record Type:
- Journal Article
- Title:
- Affine-Type Model of Variable Renewable Energy and Its Application in the Uncertain Power Flow. (October 2020)
- Main Title:
- Affine-Type Model of Variable Renewable Energy and Its Application in the Uncertain Power Flow
- Authors:
- Huang, Gengye
Shao, Zhenguo
Zhang, Yan - Abstract:
- Abstract: The intermittent variable renewable energy (VRE) results in uncertainty in distribution networks, and the existing affine iterative algorithm cannot consider the characteristics of VRE. To deal with such issues, an affine-type model of VRE considering its regulation characteristics was proposed in this paper. Furthermore, an alternating iterative algorithm based on Newton-Raphson iterative algorithm was proposed, which can consider both power flow equations and the VRE models. Finally, the effectiveness of the affine-type model of VRE and the affine iterative algorithm were evaluated on the modified IEEE 33-bus system and PG&E 69-bus system. The simulation results showed that the proposed method has sufficient completeness and slight conservativeness. Moreover, the proposed method with VRE models is superior over Monte Carlo method, particularly in terms of calculation burden.
- Is Part Of:
- Journal of physics. Volume 1639(2020)
- Journal:
- Journal of physics
- Issue:
- Volume 1639(2020)
- Issue Display:
- Volume 1639, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 1639
- Issue:
- 1
- Issue Sort Value:
- 2020-1639-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-10
- Subjects:
- Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/1639/1/012022 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
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- 25464.xml