Important Issues and Results When Considering the Stochastic Representation of Wind Power Plants in a Generation Optimization Model: An Application to the Large Brazilian Interconnected Power System

作     者：Juliana F. Chade Mummey Ildo L. Sauer Dorel S. Ramos William W.-G. Yeh 

作者机构：Institute of Energy and Environment University of Sã o Paulo Sã o Paulo Brazil Escola Politécnica University of Sã o Paulo Sã o Paulo Brazil Department of Civil and Environmental Engineering University of California Los Angeles USA 

出 版 物：《Energy and Power Engineering》 (能源与动力工程（英文）)

年 卷 期：2019年第11卷第8期

页      面：320-332页

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

主　　题：Stochastic Optimization Hydrothermal Systems Planning Wind Power Complementarity Synthetic Series Generation 

摘      要：Wind power has an increasing share of the Brazilian energy market and may represent 11.6% of total capacity by 2024. For large hydro-thermal systems having high-storage capacity, a complementarity between hydro and wind production could have important effects. The current optimization models are applied to dispatch power plants to meet the market demand and optimize the generation dispatches considering only hydroelectric and thermal power plants. The remaining sources, including wind power, small-hydroelectric plants and biomass plants, are excluded from the optimization model and are included deterministically. This work introduces a general methodology to represent the stochastic behavior of wind production aimed at the planning and operation of large interconnected power systems. In fact, considering the generation of the wind power source stochastically could show the complementarity between the hydro and wind power production, reducing the energy price in the spot market with the reduction of thermal power dispatches. In addition to that, with a reduction in wind power and a simultaneous dry-season occurrence, this model, is able to show the need of thermal power plants dispatches as well as the reduction of the risk of energy shortages.