电工技术学报  2024, Vol. 39 Issue (18): 5855-5867    DOI: 10.19595/j.cnki.1000-6753.tces.231143
电力系统与综合能源 |
数据驱动的风光场站次同步振荡多机协同阻尼控制方法
甄永赞, 狄依容, 胡永强, 高本锋
新能源电力系统全国重点实验室(华北电力大学) 北京 102206
Data-Driven Multi-Machine Cooperative Damping Control for Wind and Photovoltaic Plants Restraining Sub-Synchronous Oscillation
Zhen Yongzan, Di Yirong, Hu Yongqiang, Gao Bengfeng
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing 102206 China
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摘要 随着光伏、风电在电网中接入规模的快速增长,电力系统次同步振荡问题逐渐凸显。该文针对包含光伏、双馈风电机组的等效多机新能源场站,提出一种数据驱动的抑制次同步振荡的多机协同阻尼控制方法。首先,结合新能源并网系统的结构与次同步振荡阻尼方法,确定了阻尼控制器信号的输入、输出位置。其次,将次同步振荡场景下的新能源场站等效多机并网系统简化为多输入单输出系统,基于紧格式动态线性化理论,提出了适合光伏、风电多机协同的无模型自适应次同步振荡阻尼控制方法,并对控制参数进行了优化。最后,在IEEE 39节点系统增加新能源接入场景中进行测试,阻抗频率分析与仿真结果均体现出该控制方法能有效提升系统的阻尼。在考虑阻尼控制器投入时间、新能源场站规模、风光出力占比等不同的情况下,验证了该控制方法的有效性和适应性。该控制方法对振荡频率的偏移不敏感,并对系统的大小扰动具有较强的适应能力,体现出良好的次同步振荡阻尼性能。
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关键词 无模型自适应阻尼控制次同步振荡新能源场站协同控制数据驱动    
Abstract:With the rapid growth of photovoltaic and wind power’s access scale in the power grid, the problem of sub-synchronous oscillation (SSO) in the power system has become increasingly prominent. At present, the design scheme of new energy sub-synchronous damping control (SSDC) is mainly based on the model-driven control method, which relies on the accurate system state equation. However, the power system has time-varying and nonlinear characteristics, and the existing SSDC controller for new energy has limited applications, making it difficult to adapt to complex and changeable operating conditions. Therefore, finding a new strategy to break the barriers in damping control is urgent. At the same time, the existing literature has not explored the multi-machine equivalent model with multiple new energy types.
According to previous engineering experience and analysis, the input and output signals of the multi-machine cooperative damping controller are selected. The feedback signal is selected as the grid-connected voltage of the new energy station, and the input position is selected as the inner d-axis of the inverter of the photovoltaic and double-fed wind farms. Then, for a new energy station containing multiple photovoltaic power stations and multiple wind turbines, in the process of designing the SSDC controller, it is similarly equivalent to a multi-input single-output system, and a model-free adaptive control (MFAC) algorithm for multi-machine coordination is designed. The parameters of the simulation system and the controller are designed, and the controller parameters are optimized by the simplex method. Finally, the impedance frequency scan analysis and simulation are carried out in the IEEE 39-node system connected to the new energy station through serial compensation, and the effectiveness of the multi-machine cooperative damping strategy is verified.
The following conclusions can be drawn. (1) Impedance frequency analysis shows that the damping control method can effectively reshape the impedance of the new energy station system and significantly improve the positive sequence equivalent resistance of the system in the range of sub-synchronous frequency, reflecting good SSO suppression potential. (2) The numerical example shows that the damping control method has a significant effect on the cooperative control of the equivalent four-machine system of wind power and photovoltaic. A complete control process only requires 24 addition/subtraction calculations and 28 multiplication/division calculations, reducing calculation costs. (3) Considering the input time of the damping controller, the scale of the new energy station, the proportion of wind power out put to solar power output, and the influence of large and small disturbances of the system (changes in wind speed or radiation intensity, the cutting load of the cutting machine), the controller can effectively suppress the sub-synchronous oscillation and is insensitive to the oscillation frequency deviation. In conclusion, the multi-machine cooperative model-free sub-synchronous damping control strategy is adaptable to new energy stations containing multi-PV and multi-DFIG.
Key wordsModel-free adaptive control    damping control sub-synchronous oscillation    new energy station    cooperative control    data-driven   
收稿日期: 2023-07-16     
PACS: TM712  
基金资助:国家重点研发计划资助项目“响应驱动的大电网稳定性智能增强分析与控制技术”(2021YFB2400800)
通讯作者: 狄依容 女,2000年生,硕士研究生,研究方向为新能源电力系统分析与控制。E-mail: 867783889@qq.com   
作者简介: 甄永赞 男,1985年生,博士,副教授,研究方向为新能源电力系统保护与稳定控制。E-mail: zhenyongzan_001@126.com
引用本文:   
甄永赞, 狄依容, 胡永强, 高本锋. 数据驱动的风光场站次同步振荡多机协同阻尼控制方法[J]. 电工技术学报, 2024, 39(18): 5855-5867. Zhen Yongzan, Di Yirong, Hu Yongqiang, Gao Bengfeng. Data-Driven Multi-Machine Cooperative Damping Control for Wind and Photovoltaic Plants Restraining Sub-Synchronous Oscillation. Transactions of China Electrotechnical Society, 2024, 39(18): 5855-5867.
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