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Hydro-wind Optimal Operation for Joint Bidding in Day-ahead Market: Storage Efficiency and Impact of Wind Forecasting Uncertainty
Journal of Modern Power Systems and Clean Energy ( IF 5.7 ) Pub Date : 2020-01-01 , DOI: 10.35833/mpce.2018.000689
Ant髇io Cerejo , S韑vio J. P. S. Mariano , Pedro M. S. Carvalho , Maria R. A. Calado

Wind power production is uncertain. The imbalance between committed and delivered energy in pool markets leads to the increase of system costs, which must be incurred by defaulting producers, thereby decreasing their revenues. To avoid this situation, wind producers can submit their bids together with hydro resources. Then the mismatches between the predicted and supplied wind power can be used by hydro producers, turbining or pumping such differences when convenient. This study formulates the problem of hydro-wind production optimization in operation contexts of pool market. The problem is solved for a simple three-reservoir cascade case to discuss optimization results. The results show a depreciation in optimal revenues from hydro power when wind forecasting is uncertain. The depreciation is caused by an asymmetry in optimal revenues from positive and negative wind power mismatches. The problem of neutralizing the effect of forecasting uncertainty is subsequently formulated and solved for the three-reservoir case. The results are discussed to conclude the impacts of uncertainty on joint bidding in pool market contexts.

中文翻译:

日前市场联合招标的水力风能最优运行:存储效率和风能预测不确定性的影响

风力发电尚不确定。集合市场中承诺能源和交付能源之间的不平衡导致系统成本增加,这必须由违约生产者承担,从而降低其收入。为避免这种情况,风力生产商可以将投标书与水利资源一并提交。然后,水力发电商可以利用预测的风力与提供的风力之间的不匹配,在方便时用涡轮机或抽水机来输送这种差异。这项研究提出了在水池市场的运营环境下水力风力发电优化的问题。解决了一个简单的三水库级联案例以讨论优化结果的问题。结果表明,在不确定风能预测的情况下,水力发电的最佳收益会下降。折旧是由正负风电不匹配导致的最佳收益不对称引起的。随后提出了中和三储层情况的中和预测不确定性影响的问题。对结果进行了讨论,以得出不确定性对联合市场在联合市场中的影响。
更新日期:2020-01-01
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