何英静,王湘,但扬清,陈晴悦,李海波,鲁宗相
HE Yingjing,WANG Xiang,DAN Yangqing,CHEN Qingyue,LI Haibo,LU Zongxiang

• 1:国网浙江省电力有限公司经济技术研究院
• 2:清华大学电机工程与应用电子技术系

摘要(Abstract)：

以提升新型电力系统灵活性调节能力为目的，针对大规模新能源并网带来的波动性和不确定性，提出了一种考虑源荷不确定性的风光水蓄互补系统优化调度策略。以水电站和抽水蓄能电站综合发电量最大为目标函数建立了优化调度模型，并提出了灵活性调节能力量化指标。通过对采用K-means算法聚类得到的4个具有季节性差异的典型日场景以及特殊极端场景进行生产模拟，分析水电及抽水蓄能的灵活性调节能力。结果表明，该策略能够合理分配各个电源出力，实现了优化调度。
To enhance the flexibility regulation capability of new-type power systems and address the volatility and uncertainty brought by large-scale renewable energy integration, an optimal scheduling strategy for a wind-solarhydro-pumped storage complementary system considering source-load uncertainty is proposed. An optimal scheduling model is established with the objective of maximizing the combined generation of hydropower stations and pumped storage power stations, and a quantitative flexibility regulation capability index is introduced. Production simulations are performed for four typical daily scenarios with seasonal variations and one special extreme scenario, obtained using K-means clustering. The flexibility regulation capability of hydropower and pumped storage is analyzed. The results show that the strategy can reasonably allocate the generation output, thereby achieving optimal scheduling.

关键词(KeyWords)： 调节能力;抽水蓄能;源荷不确定性;K-means;梯级水电
regulation capability;pumped storage;source-load uncertainty;K-means;cascade hydropower

Abstract:

Keywords:

基金项目(Foundation): 国家电网有限公司总部科技项目（4000-202319075A-1-1-ZN）

作者(Author): 何英静,王湘,但扬清,陈晴悦,李海波,鲁宗相
HE Yingjing,WANG Xiang,DAN Yangqing,CHEN Qingyue,LI Haibo,LU Zongxiang

DOI: 10.19585/j.zjdl.202504011

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