山东电力技术2025，Vol.52Issue(9)：44-57,14.DOI:10.20097/j.cnki.issn1007-9904.2025.09.005
考虑时序特性的高比例新能源电力系统运行方式聚类分析方法
Clustering Analysis Method for Operational Modes of High-proportion Renewable Energy Power Systems Considering Temporal Characteristics
摘要
Abstract
The randomness and volatility of renewable energy pose challenges to the safe and stable operation of power systems.Analyzing the operational modes of power systems under different levels of renewable energy penetration is crucial for their scheduling and operation.Therefore,a comprehensive methodology framework is proposed for extracting typical operational modes of power systems.First,to address the issue of insufficient operational data,a temporal stochastic production simulation is used to quickly generate high-dimensional data.Then,by combining demand response models and extreme scenarios,potential operational risks under high renewable energy penetration are analyzed,and the effectiveness of flexible resources in enhancing system regulation is validated.Subsequently,to solve the high-dimensional and nonlinear issues in temporal data clustering,a deep temporal clustering algorithm is employed.This algorithm integrates a temporal autoencoder,which combines convolutional neural networks(CNN)and bidirectional long short-term memory(Bi-LSTM)networks,with a temporal clustering layer using dynamic time warping as a similarity measure.The clustering centers are derived by jointly optimizing the loss functions of both layers..Finally,based on real and simulated data from a provincial power grid,the clustering results under different penetration levels are analyzed,confirming the effectiveness of the proposed algorithm and demonstrating the role of demand response in regulating extreme scenarios.关键词
高比例新能源/时序随机生产模拟/深度时序聚类算法/典型运行方式/需求侧响应Key words
high-proportion renewable energy/temporal stochastic production simulation/deep temporal clustering algorithm/typical operational modes/demand-side response分类
信息技术与安全科学引用本文复制引用
高嵩,庞向坤,陈思颖,曹齐,谢海鹏..考虑时序特性的高比例新能源电力系统运行方式聚类分析方法[J].山东电力技术,2025,52(9):44-57,14.基金项目
国网山东省电力公司科技项目"基于综合指标的新型电力系统充裕性分析及风险预警技术研究"(520626220021). Science and Technology Project of State Grid Shandong Electric Power Company"Research on Adequacy Analysis and Risk Warning Technology of New Power Systems Based on Comprehensive Indicators"(520626220021). （520626220021）
