现代电力2024，Vol.41Issue(5)：822-831,10.DOI:10.19725/j.cnki.1007-2322.2022.0392
计及季节特性与日特性的多源-荷联合场景生成方法研究
Multi-source-charge Joint Scene Generation Method Considering Seasonal and Diurnal Characteristics
张超林 1顾丹珍 1黄阮明 2洪睿洁1
作者信息
- 1. 上海电力大学电气工程学院,上海市杨浦区 200090
- 2. 国网上海市电力公司经济技术研究院,上海市徐汇区 200223
- 折叠
摘要
Abstract
Scenario generation forms a foundation for the ap-plication of sequential Monte Carlo method in the field of reli-ability assessment for power systems with renewable energy.Traditional time series generation methods cannot reflect both the seasonal and diurnal variations of wind-irradiation-load simultaneously,and few studies account for the temporal cor-relation of wind-irradiation-load at the same time.In this paper,we divide a year into twelve segments and extract the seasonal and daily characteristics of the historical data by month.These data are utilized to form a weather-load characteristic paramet-er library,and thus a time series generative models is estab-lished based on ITO random process.The aforementioned basis leads to the generation of a multi-source-load joint scenario.The simulation results demonstrate that the proposed time series generation method effectively captures the seasonal and diurnal characteristics of wind-irradiation-load.The generated multi-source-load combined scene has higher accuracy in re-flecting the actual situation in a specific area.关键词
时间序列模拟/特征提取/联合场景生成/伊藤随机过程Key words
time series simulation/feature extraction/joint scene generation/ITO random process分类
信息技术与安全科学引用本文复制引用
张超林,顾丹珍,黄阮明,洪睿洁..计及季节特性与日特性的多源-荷联合场景生成方法研究[J].现代电力,2024,41(5):822-831,10.
