| 摘要: |
| 现有风电场功率控制系统存在响应速度慢与控制误差大的缺点，提出一种改进型PID算法用于风电场功率控制，从现有实际运行的风电场SCADA系统中采集大量数据，利用辨识工具做模型辨识，根据最小二乘解算法得出传递函数，在Matlab中构建试验模型，采用比例、微分先行控制，积分后行，得出理想性能PID控制器.将仿真参数实际应用到风电场功率控制系统中.结果表明，该系统响应速度快，控制精度高，具有较强实际应用价值. |
| 关键词: 功率控制；PID 模型辨识；SCADA；最小二乘解 |
| DOI： |
| 分类号:TM73 |
| 基金项目:国家重点基础研究发展计划（“973”计划）项目（85-2014-150） |
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| Design of the wind farm power controller based on the improved PID |
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Zhao Qiaohong1,2，Xiong Xian1,2，Shi Xingyu31,2,3
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1.Xiangtan Electric Manufacturing Company Limited，State Key Laboratory of Offshore Wind Power Technology and Detection，Xiangtan 411102，China;2.Xemc Windpower Company Limited, Xiangtan 411102，China;3.Institute of Electrical and Information Engineering, Hunan University, Changsha 410082，China
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| Abstract: |
| In order to solve the disadvantages of slow response and large control error about wind farm power control system , an improved PID algorithm wind farm power control system was proposed. Firstly, a large amount of data from the actual operation of wind farm SCADA system was collected, identification tool was used to do the model identification, the transfer function was obtained based on the least squares solution algorithm. Secondly, The Matlab test model was builted , ideal performance of PID controller was concluded by using the proportional and differential advanced and integral behind control. Finally, the simulation parameters were used in the practical wind farm power control system. Results shows the actual application value is larger and it has fast response speed and high control precision. |
| Key words: power control proportion integration differentiation model identification supervisory control and data acquisition the least squares solution algorithm |
