摘要
风电在电网中的占比逐年提高,其动态特性,尤其是故障穿越特性,对电力系统的影响日益显著,亟须构建能够表征实际风电机组动态特性的白盒模型。然而,风电机组的模型参数众多且交互影响,当前的参数辨识方法无法实现对整个机组故障穿越控制参数及限幅参数、转子侧内外环控制参数、网侧内外环控制参数和电气参数的整体辨识,尤其是无法精准辨识对外特性不敏感的参数。为解决这些问题,针对双馈风电机组故障穿越工况,构建了包含机组本体及全部控制器的频域通用模型,将参数分为4类逐步辨识,提出基于频域模型的分类分步一体化辨识方法。通过与仿真模型结果对比,验证了频域通用模型的准确性;通过参数辨识值与真值的对比、辨识出的白盒模型与厂家黑盒模型的响应特性对比,验证了所提方法的有效性。
The proportion of wind power in the power grid is increasing annually,and its dynamic characteristics,especially the fault ride-through characteristics,have an increasing impact on the power system.It is urgent to construct a white box model that can characterize the dynamic characteristics of actual wind turbines.However,the model parameters of wind turbines are numerous and have interactive effects,and the existing parameter identification methods cannot achieve comprehensive identification of the entire wind turbine,including fault ride-through control parameters,limiter parameters,rotor-side inner and outer loop control parameters,grid-side inner and outer loop control parameters,and electrical parameters.Particularly,there is a challenge in accurately identifying parameters with insensitive external characteristics.To address these issues,aiming at the fault ride-through conditions of doubly-fed wind turbines,the general models in frequency domain are constructed,including the whole mechanical,electrical and the involved control systems.Parameters are divided into 4 categories for step-by-step identification,and a classification and step-by-step integrated identification method based on frequency domain models is proposed.The accuracy of the general model in frequency domain is verified through comparison with simulation model results.The effectiveness of the proposed method is confirmed by comparing the parameter identification values and true values,as well as the response characteristics between the identified white-box model and the manufacturers’black-box model.
作者
朱益华
李卫星
李成翔
罗超
晁璞璞
崔浩瀚
ZHU Yihua;LI Weixing;LI Chengxiang;LUO Chao;CHAO Pupu;CUI Haohan(State Key Laboratory of HVDC(Electric Power Research Institute of China Southern Power Grid Company Limited),Guangzhou 510663,China;National Energy Power Grid Technology Research and Development Centre,Guangzhou 510663,China;School of Electrical Engineering,Dalian University of Technology,Dalian 116081,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2024年第15期92-101,共10页
Automation of Electric Power Systems
基金
南方电网科学研究院有限责任公司科技项目(基于参数辨识的新能源场站电磁暂态建模技术研究,1500002023030103FZ00091)
国家自然科学基金面上项目(52377077)。
关键词
双馈风电机组
故障穿越
参数辨识
频域建模
一体化辨识方法
doubly-fed wind turbine
fault ride-through
parameter identification
modeling in frequency domain
integrated identification method