引用本文:孙超强,潘学萍,潘生云,李威,朱玲,陈舒蕴.风电场集电网络等值模型结构分析及参数辨识[J].电力自动化设备,2020,40(10):
SUN Chaoqiang,PAN Xueping,PAN Shengyun,LI Wei,ZHU Ling,CHEN Shuyun.Equivalent model structural analysis and parameter identification of wind farm collector network[J].Electric Power Automation Equipment,2020,40(10):
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风电场集电网络等值模型结构分析及参数辨识
孙超强1, 潘学萍1, 潘生云1, 李威2, 朱玲2, 陈舒蕴1
1.河海大学 能源与电气学院,江苏 南京 211100;2.南瑞集团(国网电力科学研究院)有限公司,江苏 南京 211106
摘要:
风电场集电网络等值建模的难点在于如何获得结构简单、普适性强且精度较高的模型结构。针对该问题,首先采用REI等值方法构建了集电网络等值模型结构。其次针对该REI等值模型存在结构复杂、参数较多且难以辨识的缺点,基于理论分析提出了集电网络简化等值模型的构建方法,并通过时域仿真验证了所提风电场集电网络等值模型的可行性。最后以某实际风电场为例,采用粒子群优化算法对集电网络等值模型进行了参数辨识。进一步将参数辨识值与解析值进行了对比,结果表明所提风电场集电网络等值模型有较好的精度和适应性。
关键词:  风电场  集电网络  分群  动态等值  参数辨识
DOI:10.16081/j.epae.202008031
分类号:TM614
基金项目:国家自然科学基金资助项目(51837004);国家电网公司科技项目(400-201940418A-0-0-00)
Equivalent model structural analysis and parameter identification of wind farm collector network
SUN Chaoqiang1, PAN Xueping1, PAN Shengyun1, LI Wei2, ZHU Ling2, CHEN Shuyun1
1.College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China;2.NARI Group Corporation(State Grid Electric Power Research Institute),Nanjing 211106, China
Abstract:
The difficulty of equivalent modeling of wind farm collector network lies in how to obtain a model structure with simple structure, strong universality and high precision. Firstly, the REI equivalent method is introduced to construct the equivalent model structure of collector network. Secondly, to overcome the shortcomings of complex structure, many parameters and difficult in identification of REI equivalent model, a more simplified equivalent modeling method is proposed based on theoretical derivation, and the feasibility of the proposed wind farm collector network equivalent modeling is validated by time simulation. Finally, taking a real wind farm as an example, the parameter identification of the collector network equivalent model is obtained by particle swarm optimization algorithm. The parameter identification values are compared with the analytical results, and the results show that the proposed wind farm collector network equivalent model has better accuracy and adaptability.
Key words:  wind farm  collector network  grouping  dynamic equivalence  parameter identification

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