中国电机工程学报2024，Vol.44Issue(24)：9521-9532,中插2,13.DOI:10.13334/j.0258-8013.pcsee.231311
基于图表示学习和特征引导的电力系统运行场景生成方法
A Power System Operating Scenario Generation Method Based on Graph Representation Learning and Feature Guidance
摘要
Abstract
With the massive integration of new energy sources,the randomness of the power system has increased significantly,and the data distribution of the operation scenarios is scattered and uneven,which reduces the applicability of the existing scenario generation methods.Traditional scenario generation based on human experience and models pays more attention to some characteristics of the scenario and ignores the data distribution of the scenario.Data-driven scenario generation methods focus on describing the data distribution of the scenario,while some operation scenarios with low probability and high risk are easily overlooked.To address this issue,this research paper presents a novel approach for scenario generation,combining graph representation learning and feature-guided operation scenario generation based on the graph representation of grid operation scenarios.The proposed method mines grid operation features and incorporates the desired features into the model through data and knowledge fusion,ensuring feature-guided operation scenario generation while maintaining and preserving the distributional characteristics as far as possible.Ultimately,the verification results obtained from a system that incorporates a substantial amount of renewable energy sources and considers the operational risks of the power grid demonstrate that the proposed model outperforms the traditional scenario generation method.The proposed model not only enhances the generation efficiency of specific operational scenarios,but also ensures the consistency and diversity of the generated scenarios.Moreover,this paper provides comprehensive data support for machine-aided decision-making in power system dispatching.关键词
图表示学习/生成式对抗网络/特征引导/调度场景生成Key words
graph represents learning/generative adversarial network/feature guidance/scheduling scene generation分类
信息技术与安全科学引用本文复制引用
陈志威,吴毓峰,潘振宁,余涛,刘前进,黄文琦,侯佳萱..基于图表示学习和特征引导的电力系统运行场景生成方法[J].中国电机工程学报,2024,44(24):9521-9532,中插2,13.基金项目
国家自然科学基金项目(U2066212,52207105).Project Supported by National Natural Science Foundation of China(U2066212,52207105). （U2066212,52207105）
