刘本希, 王海东, 张俊涛, 程春田, 蔡华祥, 杨钰琪. 大规模新能源并网下水电顶峰能力解析量化与优化调配方法[J]. 电网技术, 2025, 49(3): 945-954. DOI: 10.13335/j.1000-3673.pst.2023.2038
引用本文: 刘本希, 王海东, 张俊涛, 程春田, 蔡华祥, 杨钰琪. 大规模新能源并网下水电顶峰能力解析量化与优化调配方法[J]. 电网技术, 2025, 49(3): 945-954. DOI: 10.13335/j.1000-3673.pst.2023.2038
LIU Benxi, WANG Haidong, ZHANG Juntao, CHENG Chuntian, CAI Huaxiang, YANG Yuqi. A Quantitative Analysis and Optimal Allocation of Hydropower Peaking Capacity in the Context of Large-scale New Energy Grid Integration[J]. Power System Technology, 2025, 49(3): 945-954. DOI: 10.13335/j.1000-3673.pst.2023.2038
Citation: LIU Benxi, WANG Haidong, ZHANG Juntao, CHENG Chuntian, CAI Huaxiang, YANG Yuqi. A Quantitative Analysis and Optimal Allocation of Hydropower Peaking Capacity in the Context of Large-scale New Energy Grid Integration[J]. Power System Technology, 2025, 49(3): 945-954. DOI: 10.13335/j.1000-3673.pst.2023.2038

大规模新能源并网下水电顶峰能力解析量化与优化调配方法

A Quantitative Analysis and Optimal Allocation of Hydropower Peaking Capacity in the Context of Large-scale New Energy Grid Integration

  • 摘要: 新型电力系统保障电力供应面临严峻挑战,充分发挥西南大型水电基地顶峰保供能力十分重要。然而, 受到水电复杂运行要求的制约,大水电顶峰能力的解析量化表征与优化调配是亟待解决的2个关键难题。从工程实用化出发,首先在分析大水电关键运行边界的基础上,提出了由顶峰容量-顶峰电量-顶峰持续时间构成的多维水电顶峰能力解析量化表征方法;其次,考虑梯级水电复杂运行约束条件,提出了融合顶峰能力量化、改进逐次切负荷和“以电定水”的梯级顶峰能力优化调配方法。以云南金沙江和澜沧江两大水电基地为应用实例,结果表明所提方法可有效表征水电系统顶峰能力;与多个水电调峰调度优化模型相比,所提方法可在确保水电同等调峰效果的条件下,有效提升计算效率、结果精度和水电出力平稳性,更符合工程实用化要求。

     

    Abstract: The new power system, which primarily based on renewable energy, is encountering significant obstacles in ensuring power supply. Therefore, it is important to fully utilize the abundant hydropower resources in southwest China to guarantee power supply during peak hours. However, due to the intricate operational demands of hydropower, effectively analyzing and quantifying the peak capacity and optimal scheduling of large-scale hydropower systems remains a challenge. This paper proposes a method for quantitatively characterizing the multidimensional analysis of hydropower peak capacity, consisting of peak capacity, peak energy, and peak duration, based on analyzing key operational boundaries of large-scale hydropower from an engineering practicality perspective. Considering the complex operational constraints of cascade hydropower, a hybrid optimization approach for cascade peak capacity allocation is presented, combining the quantification of peak capacity, improved successive load shedding, and electricity-based water regulation. The case studies in the Jinsha River and Lancang River cascade hydropower systems in Yunnan demonstrate their effectiveness in characterizing the peak capacity of hydropower. Compared to other models for hydropower peak scheduling, the proposed method significantly improves computational efficiency, accuracy, and the smoothness of hydropower output while ensuring the same peak scheduling effect, which aligns more closely with the requirements of engineering practicality.

     

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