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高比例新能源并网导致净负荷曲线峰谷差增大、节点电压和系统频率波动加剧，以调峰为导向的调度方法已经难以满足新型电力系统的多维灵活性需求。为此，提出考虑多维灵活性需求的电力系统日前优化调度方法。首先，考虑风光新能源及负荷间的时空相关性，建立基于藤Copula的联合概率分布模型，利用拉丁超立方抽样方法和k-中心点聚类方法生成典型场景。其次，构建多维灵活性量化评估框架，对电力系统在调峰、调频和调压多个维度上的灵活性需求进行分析。然后，在考虑多维灵活性需求约束的基础上，建立以运行成本最小为目标的电力系统日前优化调度模型，对机组的运行功率进行优化。最后，算例分析结果表明，所提方法能够有效提升电力系统的调峰、调频和调压灵活性，验证了其有效性。
Abstract：The integration of a high proportion of renewable energy sources into power grids significantly increases the peakto-valley difference in the net load curve and exacerbates fluctuations in voltage and system frequency.The traditional dispatch methods,which primarily focus on peak load management,are inadequate for addressing the multidimensional flexibility requirements of modern power systems.To tackle this challenge,a day-ahead optimal scheduling method that incorporates the multidimensional flexibility requirements is proposed. First,a joint probability distribution model using Vine Copula is developed to capture the spatiotemporal correlations among wind,solar generation,and load demand.This model is used to generate representative scenarios through Latin hypercube sampling and k-medoids clustering.Then,a quantitative framework is built to assess the power system multidimensional flexibility requirements,including peaking shaving,frequency regulation,and voltage regulation.In addition,a day-ahead optimal scheduling model that minimizes operational costs while adhering to these multidimensional flexibility constraints is formulated to optimize the operation power of generation units.Finally,case study results demonstrate the effectiveness of the proposed method in enhancing the power system flexibility for peak shaving,frequency regulation,and voltage regulation.
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基本信息:
DOI：10.20097/j.cnki.issn1007-9904.250430
中图分类号:TM73
引用信息:
[1]于飞,白茂金,曹永吉,等.考虑多维灵活性需求的电力系统日前优化调度方法[J].山东电力技术,2026,53(08):37-49.DOI:10.20097/j.cnki.issn1007-9904.250430.
基金信息:
智能电网国家科技重大专项（2024ZD0801100）~~
2025-05-26
2025
2026-08-12
2025-08-14
2025
1
2026-08-25
2026-08-25