付子恒, 穆钢, 武方泽, 杨茂, 严干贵. 基于单风电场功率波形幅-时特性的风电场群功率波动幅度演化建模与机理分析[J]. 中国电机工程学报, 2025, 45(1): 124-137. DOI: 10.13334/j.0258-8013.pcsee.240296
引用本文: 付子恒, 穆钢, 武方泽, 杨茂, 严干贵. 基于单风电场功率波形幅-时特性的风电场群功率波动幅度演化建模与机理分析[J]. 中国电机工程学报, 2025, 45(1): 124-137. DOI: 10.13334/j.0258-8013.pcsee.240296
FU Ziheng, MU Gang, WU Fangze, YANG Mao, YAN Gangui. Modeling and Analysis of Power Fluctuation Amplitude Evolution Mechanism of Wind Farm Cluster Based on the Amplitude-duration Characteristics of Single Farm Power Waveform[J]. Proceedings of the CSEE, 2025, 45(1): 124-137. DOI: 10.13334/j.0258-8013.pcsee.240296
Citation: FU Ziheng, MU Gang, WU Fangze, YANG Mao, YAN Gangui. Modeling and Analysis of Power Fluctuation Amplitude Evolution Mechanism of Wind Farm Cluster Based on the Amplitude-duration Characteristics of Single Farm Power Waveform[J]. Proceedings of the CSEE, 2025, 45(1): 124-137. DOI: 10.13334/j.0258-8013.pcsee.240296

基于单风电场功率波形幅-时特性的风电场群功率波动幅度演化建模与机理分析

Modeling and Analysis of Power Fluctuation Amplitude Evolution Mechanism of Wind Farm Cluster Based on the Amplitude-duration Characteristics of Single Farm Power Waveform

  • 摘要: 大规模风电场群的功率波形是由场群内所有风电场功率波形累加而成。风电场群区域内风速时空分布的差异和风电场空间位置的分散导致各单风电场功率波形时序上的差异性,从而使场群功率的最大相对波动幅度低于单场功率的最大相对波动幅度,称为风电场群功率的汇聚效应。为了揭示汇聚效应的机理及其时空影响因素,该文根据各风电场功率波形具有相关性的特点,建立描述风电场群区域主要风速时空变化特征的一维风速行波函数,构建反映单风电场到风电场群功率波形演化关系的风电场群功率汇聚模型;基于离散小波变换构建反映风电功率波形多尺度变化特征的风电功率波形幅-时关联特性;深入分析风电场功率波形幅-时关联特性与风电场空间尺度的关联关系,建立基于单风电场功率波形幅-时关联特性的风电场群功率波动幅度评价方法,揭示单风电场功率波形特质及风电场空间间距影响风电场群功率波动幅度的机理。通过两个风电场群的实例验证所提模型和分析方法的有效性。

     

    Abstract: For a large wind farm cluster, both the spatial-temporal varied wind speed and the spatial dispersed sites of wind farms in the area of the cluster cause different power waveforms of wind farms. Although the power waveform of wind farm cluster is composed by all power waveforms of each wind farm, the former will present some evolutionary properties, such as lower relative power fluctuation than that of single wind farms. This phenomenon is defined as the Cumulative Effect of the power fluctuation of wind farm cluster. In order to reveal the mechanism of cumulative effect and its factors, a one-dimensional travelling wave function of wind speed is derived to approximately describe a time varied wind speed along with the dominant wind direction in the area of the cluster, and the amplitude-duration coupling characteristics is established based on the wavelet transformation to reveal the temporal characteristics of power waveform of single wind farm. The cumulative model is derived by a single wind farm power waveform as the representative and correlated to other power waveforms. Based on the cumulative model and the amplitude-duration coupling characteristics of single wind farm power waveform, the evaluation method of cluster power fluctuation range is derived. By using this method, the power fluctuation evolution mechanism is soundly revealed both spatially and temporally. The validity of the proposed model and analysis method is verified by 2 real wind farm cluster cases as examples.

     

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