Mixed-Integer Conic Formulation of Unit Commitment with Stochastic Wind Power

Due to the high randomness and volatility of renewable energy sources such as wind energy, the traditional thermal unit commitment (UC) model is no longer applicable. In this paper, in order to reduce the possible negative effects of an inaccurate wind energy forecast, the chance-constrained program...

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Veröffentlicht in:	Mathematics (Basel) Jg. 11; H. 2; S. 346
Hauptverfasser:	Zheng, Haiyan, Huang, Liying, Quan, Ran
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.01.2023
Schlagworte:	Alternative energy sources Approximation chance-constrained programming Constraints Food science Generators Linear programming Mathematical models Mixed integer mixed-integer second-order conic programming Optimization Quadratic programming Random variables Randomness Renewable energy sources Renewable resources sample average approximation Software stochastic wind power Unit commitment Wind effects Wind power Wind power generation
ISSN:	2227-7390, 2227-7390
Online-Zugang:	Volltext
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