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Stochastic optimal planning of solar thermal power

机译:太阳能热发电的随机最优规划

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This paper describes the planning of the operation of a concentrated solar power plant under the assumption that the produced electricity is sold on the spot market. By using nonlinear stochastic optimization, the uncertainty of the irradiation forecast is considered. Real data is used to compare the performance of stochastic optimization of affine policies and of single decision trajectories as well as conventional deterministic optimization. It is shown that the stochastic optimization has the potential to better exploit the system's energy storage and thus achieves higher performance for energy time-shifting.
机译:本文描述了在假定发电是在现货市场上出售的前提下,一个集中式太阳能发电厂的运行计划。通过使用非线性随机优化,可以考虑辐照预测的不确定性。实际数据用于比较仿射策略和单个决策轨迹的随机优化以及常规确定性优化的性能。结果表明,随机优化具有更好地利用系统能量存储的潜力,因此可以实现更高的能量时移性能。

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