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Optimal Daily Planning for Hydro Power System Coordinated with Wind Power in Areas with Limited Export Capability

机译:出口能力有限的地区与风电协调的水力发电系统的最佳日常计划

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The paper presents a daily planning algorithm for a multi-reservoir hydropower system coordinated with wind power. The planning algorithm applies to the real situation where wind power and hydropower are owned by different utilities, sharing same transmission lines, though, hydropower has a priority for transmission capacity. Coordination is, thus, necessary to minimize wind energy curtailments during the congestion situations. The planning algorithm considers an uncertainty of wind power forecast. Forecast error scenarios are modeled with ARMA series. A scenario reduction algorithm is applied to reduce computational time. Only the planning for the spot market is considered. Thus, once the hydropower production bid is placed on the market it cannot be changed. The solution of the stochastic optimization problem should, therefore, fulfil the transmission constraints for all wind power production scenarios. The developed planning algorithm is applied in a case study. The results are compared to the planning results without coordination
机译:本文提出了一种与风电协调的多水库水电系统的每日计划算法。该规划算法适用于风电和水电由不同公用事业公司拥有,共享同一输电线路的实际情况,但是,水电是输电容量的优先事项。因此,在拥堵情况下必须进行协调以最大程度地减少风能的消耗。该规划算法考虑了风力发电预测的不确定性。预测错误方案是使用ARMA系列建模的。应用场景减少算法以减少计算时间。仅考虑现货市场的计划。因此,一旦水电生产投标书投放市场,就无法更改。因此,随机优化问题的解决方案应满足所有风力发电情景下的传输约束。所开发的计划算法将应用于案例研究中。在没有协调的情况下将结果与计划结果进行比较

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