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A Novel Generation Rescheduling Algorithm to Improve Power System Reliability With High Renewable Energy Penetration.

Authors :
Fan, Miao
Sun, Kai
Lane, Derek
Gu, Wei
Li, Zhengshuo
Zhang, Fang
Source :
IEEE Transactions on Power Systems. May2018, Vol. 33 Issue 3, p3349-3357. 9p.
Publication Year :
2018

Abstract

The uncertainties of renewable energy may bring impacts to power system reliability. This paper proposes a novel generation rescheduling algorithm, which adjusts generation outputs to mitigate the variations of branch power flows and relieve the overload probability. This algorithm helps prevent power congestion and balance the aggregate renewable generations and loads in power systems. Besides, the paper also proposes a probabilistic method evaluating the system uncertainty issue in the power system considering generation rescheduling operation. The proposed generation rescheduling algorithm has been tested on the Arizona transmission system. The generation rescheduling method enhances power system reliability analysis with a high penetration of renewable energy resources. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
08858950
Volume :
33
Issue :
3
Database :
Academic Search Index
Journal :
IEEE Transactions on Power Systems
Publication Type :
Academic Journal
Accession number :
129266070
Full Text :
https://doi.org/10.1109/TPWRS.2018.2810642