| 引用本文: | 林济铿,张闻博,武乃虎,郑卫洪,刘 涛.基于故障录波器的机组参数辨识[J].电力自动化设备,2012,32(8): |
| LIN Jikeng,ZHANG Wenbo,WU Naihu,ZHENG Weihong,LIU Ta.Generation system parameter identification based on DFR[J].Electric Power Automation Equipment,2012,32(8): |
|
| 摘要: |
| 提出基于故障录波器（DFR）的机组参数辨识新方法，采用DFR所记录的有关机组的量测量，通过对发电机子系统、励磁子系统、调速及原动机子系统等所有子系统进行数学建模，获得各子系统输入、输出及待测量之间的函数关系。采用基于粒子群的调节优化技术，对所有待测量进行迭代调整和优化，使得模型输出逼近实际输出。该方法无需进行现场试验，仅基于DFR记录数据即可实现机组各子系统所有参数的辨识。算例表明该方法具有辨识精度高、计算速度快且实际应用方便的优点。 |
| 关键词: 机组参数辨识 故障录波器 数学模型 调整 优化 |
| DOI： |
| 分类号: |
| 基金项目: |
|
| Generation system parameter identification based on DFR |
|
LIN Jikeng1, ZHANG Wenbo1, WU Naihu2, ZHENG Weihong3, LIU Ta3
|
|
1.Key Laboratory of Power System Simulation and Control of Ministry of Education，Tianjin University，Tianjin 300072，China;2.Shandong Electric Power Research Institute，Ji’nan 250002，China;3.Tianjin Electrical Power Corporation，Tianjin 300010，China
|
| Abstract: |
| An approach of generation system parameter identification is presented based on DFR（Digital Fault Recorder）. All subsystems，including generator，exciter and governor-turbine，are mathematically modeled and their functional relationships among inputs，outputs and parameters are obtained based on the measurements of DFR. The particle swarm optimization algorithm is applied to iteratively adjust and optimize the parameters to be identified，which makes the outputs of model approach the real outputs recorded by DFR. Only the data recorded by DFR are applied to realize the identification of all subsystem parameters without any field experiment. Case study shows its high identification accuracy，fast calculation speed and convenient application. |
| Key words: generation system parameter identification digital fault recorder mathematical models adjustment optimization |
