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Unit Commitment Model under Uncertainty of Wind Power Producer
Iranian Journal of Science and Technology, Transactions of Electrical Engineering ( IF 2.4 ) Pub Date : 2021-06-19 , DOI: 10.1007/s40998-021-00429-6
Mansour Hosseini-Firouz , Asef Alemi , Behruz Alefy , Shahzad Balalpour

Recently, the increasing penetration of wind energy has provided various ways to operate the system at low cost and low pollution. On the other hand, the noticeable uncertainties caused by the forecast error of wind speed restrict the utilization of wind energy. Moreover, it brings unprecedented challenges to maintain system adequacy. One prevailing solution is to maintain sufficient spinning reserve of thermal units, which is not affordable. This paper analyses the relationship between the operation cost and wind power uncertainty using AC unit commitment in the frame of a short-term market. Conditional value-at-risk is established in a percentage of the worst-case estimations on wind power scenario under uncertainty to achieve adequate trade-offs between optimal solution and risk aversion. Operation cost of generation, load shedding cost and reserve cost are optimally established by multi-objective optimization. Finally, the simulation is performed on the test system and the obtained results are evaluated and compared to demonstrate the research effectiveness.



中文翻译:

风电生产者不确定性下的机组承诺模型

最近,风能的日益普及提供了以低成本和低污染运行该系统的各种方式。另一方面,风速预报误差带来的明显不确定性制约了风能的利用。此外,它为维持系统充分性带来了前所未有的挑战。一种流行的解决方案是保持足够的热单元旋转储备,这是负担不起的。本文在短期市场框架下,利用交流机组承诺分析了运行成本与风电不确定性之间的关系。条件风险价值是在不确定性下风电情景的最坏情况估计的百分比中建立的,以实现最佳解决方案和风险规避之间的充分权衡。发电运行成本,切负荷成本和储备成本是通过多目标优化建立的。最后,在测试系统上进行仿真,对得到的结果进行评估和比较,以证明研究的有效性。

更新日期:2021-06-19
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