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Application of Robust Optimization Technique to the Energy Planning Problem

机译:鲁棒优化技术在能源规划中的应用

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The present work proposes an approach based on the application of the robust optimization technique named column-and-constraint generation (C&CG), for solving the problem of energy planning comprising the minimization of the thermoelectric dispatch cost during a daily operation of a system with wind and hydraulic generation. In order to define the hourly dispatch of thermoelectric generation, the approach considers a history of flow for the hydraulic generation, as well as uncertainties over the wind behavior in the wind power plant. Thus, the short-term energy planning is defined by taking into account the wind stochastic through the concept of uncertainties. As solving proposal, linear programming with a robust optimization (RO) mathematical technique through the C&CG algorithm is used. This method is applied to divide the global problem into wind speed uncertainties scenarios.
机译:本工作提出了一种基于鲁棒性优化技术的应用方法,该技术称为列约束生成(C&CG),用于解决能源计划问题,包括在带风系统的日常运行中使热电调度成本最小化和水力发电。为了定义热电发电的每小时调度,该方法考虑了水力发电的流量历史以及风力发电厂中风能的不确定性。因此,通过不确定性的概念,通过考虑随机风来定义短期能源计划。作为解决方案,使用了通过C&CG算法通过鲁棒优化(RO)数学技术进行的线性规划。该方法用于将全局问题划分为风速不确定性情况。

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