| 非连续动态同步发电机组的空间正则化参数辨识方法 |
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| 引用本文： | 朱泽翔,熊鸿韬,马安安,耿光超,江全元.非连续动态同步发电机组的空间正则化参数辨识方法[J].电力系统自动化,2018,42(10):93-99. |
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| 作者姓名： | 朱泽翔 熊鸿韬 马安安 耿光超 江全元 |
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| 作者单位： | 浙江大学电气工程学院;国网浙江省电力有限公司电力科学研究院 |
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| 基金项目： | 国家重点基础研发计划资助项目(2017YFB0902000);国家自然科学基金青年基金资助项目(51607155) |
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| 摘 要： | 同步发电机组参数的正确性严重影响电力系统仿真及稳定控制结果的有效性,然而励磁和调速系统中大量非连续环节的存在,严重限制了现有在线辨识方法的高效应用。为解决该问题,提出了一种非连续动态同步发电机组的空间正则化参数辨识方法。该方法将不同状态空间下的非连续动态方程转化为统一的等效表达式,并利用简约空间内点算法对含离散化动态方程约束的参数辨识问题进行求解,从而实现参数辨识问题中对非连续动态方程的准确、高效处理。最后,大量的数值试验和实际测试结果验证了所提方法的有效性。
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| 关 键 词： | 参数辨识 非连续动态模型 同步发电机组 空间正则化方法 内点算法 |
| 收稿时间： | 2017/10/25 0:00:00 |
| 修稿时间： | 2018/4/6 0:00:00 |
Space Regularization Parameter Estimation Method for Discontinuous Dynamic Synchronous Generators |
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| ZHU Zexiang,XIONG Hongtao,MA Anan,GENG Guangchao and JIANG Quanyuan.Space Regularization Parameter Estimation Method for Discontinuous Dynamic Synchronous Generators[J].Automation of Electric Power Systems,2018,42(10):93-99. |
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| Authors: | ZHU Zexiang XIONG Hongtao MA Anan GENG Guangchao and JIANG Quanyuan |
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| Affiliation: | College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China,Electric Power Research Institute of State Grid Zhejiang Electric Power Company, Hangzhou 310014, China,College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China,College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China and College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China |
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| Abstract: | The validation of synchronous generator parameters critically affects the effectiveness of power system dynamic simulation and stability control results. However, there are a number of discontinuous dynamic components in the excitation and speed governing system, which significantly restrict the effective application of existing online estimation methods. In order to tackle this problem, a space regularization parameter estimation method is proposed for the discontinuous dynamic synchronous generators. This method converts discontinuous dynamic equations of different variable spaces into a unified representation. Then the reduced-space interior point method is applied to the discretized unified dynamic constrained nonlinear programming problem to obtain the estimated parameters and achieve the accurate and efficient handling of discontinuous dynamic equations. Finally, a large amount of numerical experiments and filed tests are demonstrated to verify the effectiveness of the proposed method. |
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| Keywords: | parameter estimation discontinuous dynamic model synchronous generators space regularization method interior point algorithm |
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