Transmission Planning Under Uncertainties of Wind and Load: Sequential Approximation Approach
This paper introduces a transmission planning model for a system integrating a large amount of remote wind power. We consider uncertainties of wind availability and system load, which are represented by two dependent random variables in the optimization problem. A two-stage stochastic model and sequ...
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Published in | IEEE transactions on power systems Vol. 28; no. 3; pp. 2395 - 2402 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
IEEE
01.08.2013
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Subjects | |
Online Access | Get full text |
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Summary: | This paper introduces a transmission planning model for a system integrating a large amount of remote wind power. We consider uncertainties of wind availability and system load, which are represented by two dependent random variables in the optimization problem. A two-stage stochastic model and sequential approximation approach are applied to solve our total cost minimization problem, which involves a sequence of stochastic optimization problems repeatedly solved with an updated approximation of random parameters until the rate of increment of optimal cost becomes smaller than a positive target value. A wind energy integration goal is achieved by penalizing wind curtailment. As a case study, the Electric Reliability Council of Texas (ERCOT) wind and load data, and a simplified model of its transmission system, is employed. |
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ISSN: | 0885-8950 1558-0679 |
DOI: | 10.1109/TPWRS.2013.2251481 |