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ISSN 1000-1026

CN 32-1180/TP

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大电网动态安全风险智能评估系统
作者:
作者单位:

1. 电网智能化调度与控制教育部重点实验室(山东大学), 山东省济南市 250061;2. 国网江苏省电力有限公司, 江苏省南京市 210024

摘要:

针对大规模交直流混联系统的快速动态安全风险防控需求,研究了系统动态安全风险智能评估系统的架构与关键技术。结合电力系统安全风险评估的一般流程,提出了基于机器学习的安全风险智能评估系统的总体框架和动态安全风险统一评估模型结构;构建了包含发电负荷运行方式、网络拓扑结构和故障位置特征的训练样本集合,采用样本平衡技术提高评估模型精度;基于深度学习提取动态安全风险高级特征,采用主流机器学习框架构建和更新动态安全风险统一评估模型。以省级电网为例验证了所提动态安全风险智能评估系统的可行性。

关键词:

基金项目:

国家重点研发计划资助项目(2017YFB0902600);国家电网公司科技项目(SGJS0000DKJS1700840)。

通信作者:

作者简介:


Intelligent Assessment System for Dynamic Security Risk of Large-scale Power Grid
Author:
Affiliation:

1. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education(Shandong University), Jinan 250061, China; 2. State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210024, China

Abstract:

The architecture and key technologies of the intelligent assessment system for dynamic security risk of power systems are studied for preventing and controlling fast dynamic security risk of large-scale AC-DC hybrid systems. The overall framework of intelligent assessment based on machine learning and the structure of unified dynamic security risk assessment model are proposed considering the general assessment process. A training sample set containing fault locations, generation and load modes, and network topology structures is constructed. The sample balance technique is used to improve the accuracy of the assessment model. Advanced features for assessing dynamic security risk are extracted based on deep learning, and a unified assessment model of dynamic security risk is constructed and updated with mainstream machine learning framework. A provincial power grid is taken as an example to verify the feasibility of the proposed intelligent assessment system for dynamic security risk. This work is supported by National Key R&D Program of China(No. 2017YFB0902600)and State Grid Corporation of China(No. SGJS0000DKJS1700840).

Keywords:

Foundation:
引用本文
[1]李常刚,李华瑞,刘玉田,等.大电网动态安全风险智能评估系统[J].电力系统自动化,2019,43(22):67-75. DOI:10.7500/AEPS20190507003.
LI Changgang, LI Huarui, LIU Yutian, et al. Intelligent Assessment System for Dynamic Security Risk of Large-scale Power Grid[J]. Automation of Electric Power Systems, 2019, 43(22):67-75. DOI:10.7500/AEPS20190507003.
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  • 收稿日期:2019-05-07
  • 最后修改日期:2019-10-14
  • 录用日期:2019-08-23
  • 在线发布日期: 2019-10-10
  • 出版日期: 2019-11-25
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