中国电机工程学报2018，Vol.38Issue(1)：41-50,后插5,11.DOI:10.13334/j.0258-8013.pcsee.161244
基于风电场动态电压安全决策树体系的SVC紧急控制策略
Wind Farm SVC Emergency Control Strategy Based on Dynamic Voltage Security Decision Trees
摘要
Abstract
In order to overcome the control performance of magnetic control reactor (MCR)-SVC that widely used in wind farm, and avoid reactive power over-compensation after fault removal, this paper proposed a SVC emergency control strategy based on dynamic voltage security decision trees. Regression tree algorithm and classification tree algorithm have been utilized to construct over voltage prediction trees and wind turbine trip-off prediction trees respectively, which can perform data mining on online information, and make fast judgement on voltage violation and wind turbine trip-off. Furthermore, capacitor shedding is performed based on the above prediction results. Validated by simulation, the propose control strategy is able to provide supportive wind turbine off-grid information for wind farm and power system operators, and decrease the wind farm over voltage risk.关键词
决策树/风机脱网/在线预警/SVC紧急控制Key words
decision trees/wind farm trip-off/online security assessment/SVC emergency control分类
信息技术与安全科学引用本文复制引用
林湘宁,卓毅鑫,李正天,童宁,徐铝洋,张伟..基于风电场动态电压安全决策树体系的SVC紧急控制策略[J].中国电机工程学报,2018,38(1):41-50,后插5,11.基金项目
国家自然科学基金重点项目(51537003) （51537003）
黄鹤英才(科技)计划资助项目. Project Supported by National Natural Science Foundation of China (51537003) （科技）
Hang He Ying Chai Founding. （）
