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Reserve Requirements for Wind Power Integration: A Scenario-Based Stochastic Programming Framework

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3 Author(s)
Papavasiliou, A. ; Dept. of Ind. Eng. & Oper. Res., Univ. of California, Berkeley, Berkeley, CA, USA ; Oren, S.S. ; O'Neill, R.P.

We present a two-stage stochastic programming model for committing reserves in systems with large amounts of wind power. We describe wind power generation in terms of a representative set of appropriately weighted scenarios, and we present a dual decomposition algorithm for solving the resulting stochastic program. We test our scenario generation methodology on a model of California consisting of 122 generators, and we show that the stochastic programming unit commitment policy outperforms common reserve rules.

Published in:
Power Systems, IEEE Transactions on  (Volume:26 ,  Issue: 4 )

Date of Publication: Nov. 2011

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