电工技术学报  2020, Vol. 35 Issue (15): 3303-3313    DOI: 10.19595/j.cnki.1000-6753.tces.190879
电力系统 |
基于轨迹灵敏度分析的永磁直驱风电场等值模型参数辨识
张剑1, 何怡刚2
1.合肥工业大学电气与自动化工程学院 合肥 230009;
2.武汉大学电气与自动化学院 武汉 430072
Parameters Identification of Equivalent Model of Permanent Magnet Synchronous Generator Wind Farm Based on Analysis of Trajectory Sensitivity
Zhang Jian1, He Yigang2
1. School of Electric and Automation Engineering Hefei University of Technology Hefei 230009 China;
2. School of Electric Engineering and Automation Wuhan University Wuhan 430072 China
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摘要 大规模风电场接入电网对电力系统稳定性具有重大影响。为提高仿真速度,研究风电场等值模型具有十分重要的意义。针对传统聚合方法无法解决风电场长期运行过程中产生的参数变化问题以及厂家将控制系统参数作为商业机密问题,该文基于风电场公共并网点相量测量单元数据建立了永磁直驱风电场详细动态等值模型与初始化方法,分析参数的轨迹灵敏度,提出了对高灵敏度且时变参数以及高灵敏度控制系统参数采用改进的基因学习粒子群(GLPSO)混合算法进行参数辨识,其他参数固定为聚合值或典型值的策略。分析了不同风速、尾流效应、部分风机离线、风速未知情形下,等值模型的鲁棒性与适应性。仿真算例表明,所提出的参数辨识方法能够提高全局寻优能力。
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张剑
何怡刚
关键词 风电场等值模型轨迹灵敏度参数辨识基因学习粒子群混合算法    
Abstract:A large-scale wind farm connected to power grid has huge impact on the stability of power system. In order to improve simulation speed, it is essential to investigate the equivalent model of wind farm. In this paper, in view of the fact that the traditional aggregation method cannot solve the problem of parameter variation during long-term operation of wind farms, and manufacturers regard control system parameters as commercial secrets, a detailed equivalent model of permanent magnet synchronous generators(PMSG) wind farm and initialization method is established. The trajectory sensitivity of parameters is analyzed. Parameters identification strategy that the time-varying parameters with high sensitivity and control parameters with high sensitivity are identified using improved genetic learning particle swarm optimization (GLPSO) hybrid algorithm based on phasor measurement unit (PMU) data at the common interconnection point of wind farm while other parameters are fixed to aggregated or typical values is proposed. The robustness and adaptability of the equivalent model of PMSG wind farm under different wind speeds, wake effects, and when some PMSG are off-line or wind speed is unknown are analyzed. The global searching ability to find the optimum point of the proposed improved GLPSO is also validated.
Key wordsPermanent magnet synchronous generators(PMSG)    equivalent model of wind farm    trajectory sensitivity    parameter identification    genetic learning particle swarm optimization hybrid algorithm   
收稿日期: 2019-07-17     
PACS: TM614  
通讯作者: 张 剑 男,1982年生,博士,讲师,研究方向为主动配电网技术、电力系统建模等。E-mail:z_jj1219@sina.com   
作者简介: 何怡刚 男,1966年生,博士,教授,博士生导师,研究方向为智能测试与诊断、集成电路设计、电力规划与设计等。E-mail:18655136887@163.com
引用本文:   
张剑, 何怡刚. 基于轨迹灵敏度分析的永磁直驱风电场等值模型参数辨识[J]. 电工技术学报, 2020, 35(15): 3303-3313. Zhang Jian, He Yigang. Parameters Identification of Equivalent Model of Permanent Magnet Synchronous Generator Wind Farm Based on Analysis of Trajectory Sensitivity. Transactions of China Electrotechnical Society, 2020, 35(15): 3303-3313.
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