计及风电条件风险价值的鲁棒柔性超前调度

李飞; 姚敏东; 李靖

doi:10.19912/j.0254-0096.tynxb.2020-1156

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太阳能学报 ›› 2022, Vol. 43 ›› Issue (7) : 356-365. DOI: 10.19912/j.0254-0096.tynxb.2020-1156

计及风电条件风险价值的鲁棒柔性超前调度

李飞¹, 姚敏东², 李靖^1,3

作者信息 +

ROBUST FLEXIBLE LOOK-AHEAD DISPATCH CONSIDERING CVAR OF WIND POWER

Li Fei¹, Yao Mindong², Li Jing^1,3

Author information +

文章历史 +

摘要

提出一种考虑大规模风电并网的超前优化调度方法,引入风电条件风险价值来评估风电消纳风险。建立基于鲁棒优化的柔性超前调度模型,以平衡运行成本与风电条件风险价值。根据该模型,对AGC机组的基点功率、参与因子、柔性容量进行协同优化,还可得到各风电场输出功率的可容许区域。提出一种基于大M法和分解法的求解双线性规划模型的高效算法。所提模型及算法结合鲁棒优化与随机优化的优点,在保证计算效率的同时,可避免鲁棒优化的过度保守。仿真结果验证了所提模型及算法的有效性。

Abstract

This paper presents a look-ahead optimal dispatch method considering large-scale wind power integration. The conditional value-at-risk of wind power condition is introduced to evaluate the risk of wind power accommodation. A flexible look-ahead dispatch model based on robust optimization is established to balance operating cost and the conditional value-at-risk of wind power. According to the proposed model, the base point, participation factor and flexible capacity of AGC unit are optimized, and the admissible region of wind power on each wind farm is also obtained. An efficient algorithm for bilinear programming model based on the big-M method and the decomposition method is proposed. The proposed model and algorithm combine the advantages of robust optimization and stochastic optimization to ensure the calculation efficiency and avoid the over conservativeness of robust optimization. The simulation results verify the effectiveness of the proposed model and algorithm.

导出引用

李飞, 姚敏东, 李靖. 计及风电条件风险价值的鲁棒柔性超前调度[J]. 太阳能学报. 2022, 43(7): 356-365 https://doi.org/10.19912/j.0254-0096.tynxb.2020-1156

Li Fei, Yao Mindong, Li Jing. ROBUST FLEXIBLE LOOK-AHEAD DISPATCH CONSIDERING CVAR OF WIND POWER[J]. Acta Energiae Solaris Sinica. 2022, 43(7): 356-365 https://doi.org/10.19912/j.0254-0096.tynxb.2020-1156

中图分类号： TM73

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