| 引用本文: | 张国辉,李志中,王宾,等.基于Adaboost的高压直流线路连续换相失败预警方法[J].电力系统保护与控制,2019,47(19):69-77.[点击复制] |
| ZHANG Guohui,LI Zhizhong,WANG Bin,et al.Early warning method of HVDC line continuous commutation failure based on Adaboost algorithm[J].Power System Protection and Control,2019,47(19):69-77[点击复制] |
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| 摘要: |
| 为解决连续换相失败机理解析表达缺失导致的LCC-HVDC连续换相失败预警困难的问题，运用统计学习建模的思想，基于Adaboost分类器构建了一种连续换相失败预警器。预警系统特征向量的设计考虑了单次换相失败的解析表达，充分利用仿真或现场历史积累的换相失败的实测数据进行统计学习，得出连续换相失败问题的非线性决策平面。PSCAD的CIGRE标准模型的多场景故障仿真数据验证表明，预警器可基于较小的故障数据集获得较高精度的预警信息，且所需现场实测数据少，具有工程实践的有效性与实用性。 |
| 关键词: 连续换相失败 故障预警 统计学习 Adaboost |
| DOI：10.19783/j.cnki.pspc.181477 |
| 投稿时间：2018-11-24修订日期：2019-04-16 |
| 基金项目:国家自然科学基金项目资助(51477084);国网山东省电力公司科技项目“基于全球能源互联网的‘源-网-荷’协调控制技术在大电网安全稳定运行中的应用及工程示范”(2017A-58) |
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| Early warning method of HVDC line continuous commutation failure based on Adaboost algorithm |
| ZHANG Guohui,LI Zhizhong,WANG Bin,LIU Meng,DONG Xinzhou |
| (State Grid Shandong Electric Power Research Institute, Jinan 250000, China;State Key Lab of Control and Simulation of Power Systems and Generation Equipments Department of Electrical Engineering, Tsinghua University, Beijing 100084, China) |
| Abstract: |
| In order to overcome the difficulty in Continuous Commutation Failure (CCF) early warning caused by the lack of CCF analytical mechanism, a CCF warning system is proposed based on Adaboost algorithm in statistical learning modeling. The eigenvector of the classifier considers the analytical expression of single commutation failure, and makes full use of the measured data during commutation failure from simulation or actual data from industrial field to obtain the nonlinear decision plane that corresponds to CCF early warning problem. The model verification is evaluated based on multi-scene fault simulation with CIGRE standard model in PSCAD, where the proposed warning system is able to send out warning signal with high precision based on the considerably small data set as well as sufficiently small measured data required, proving the validity and practicability of the proposed method in engineering practice. This work is supported by National Natural Science Foundation of China (No. 51477084) and Science and Technology Project of State Grid Shandong Electric Power Company “Application and Engineering Demonstration of Global Energy Interconnection based ‘Source-Grid-Load’ Coordinated Control Technology in Large-scale Safe and Stable Running” (No. 2017A-58). |
| Key words: continuous commutation failures failure early warning statistical learning Adaboost |
