中国电机工程学报2018，Vol.38Issue(9)：2571-2579,9.DOI:10.13334/j.0258-8013.pcsee.170442
随机数据驱动下的机电振荡参数在线提取与阻尼调制(二):基于有功调节的区间模式阻尼调制策略
On Line Electromechanical Oscillation Analysis and Damping Modulation for Power System Using Ambient Data (Part II): Inter Area Modes Damping Regulating Based on Generators Redispatching
摘要
Abstract
With the scale of interconnected system becoming large and complexity, interval oscillation modes of low damping are main factors of safe and stable operation of grid. Aim at the low damping mode, we proposed a method to modulate inter area mode damping by directional regulation of generator redispatches under stochastic response. Firstly, we used the online recursive algorithm to track damping ratio and frequency of low oscillation, which was mentioned in paper [1]. And the sensitivity of damping ratio with respect of generator power redispatch was calculated by perturbation, which the natural perturbation was the change of generator active power caused by stochastic environmental excitation. According to the result of ranking every-generator sensitivity in the inter-area oscillation with weakly damped, combining with the principle that reduces and increases power of sending generators and receiving generators, respectively, the optimum pair of generators will be confirmed. After choosing the adjustment amount which depends on generator operating condition and active power constrains, the online redispatch to damping inter-area low damping oscillation relying on stochastic response data was realized. The simulation result of IEEE 4-generator 2-area power system and IEEE 68-bus power system verify the effectiveness and feasible of method.关键词
随机激励/弱阻尼模式/摄动法/阻尼比灵敏度/再调度Key words
stochastic excitation/low damping mode/perturbation method/damping ratio sensitivity/redispatching分类
信息技术与安全科学引用本文复制引用
杨德友,王文嘉,高际惟,王丽馨,蔡国伟..随机数据驱动下的机电振荡参数在线提取与阻尼调制(二):基于有功调节的区间模式阻尼调制策略[J].中国电机工程学报,2018,38(9):2571-2579,9.基金项目
国家自然科学基金项目(51507028) （51507028）
国家重点研发计划(2016YFB0900104) （2016YFB0900104）
吉林省科技发展计划项目(20180414023GH).Project Supported by the National Natural Science Foundation of China (51507028) （20180414023GH）
National Key Research and Development Program of China (2016YFB0900104) （2016YFB0900104）
Projects of Jilin Province Science and Technology Development Plan of China (20180414023GH). （20180414023GH）
