基于云模型的风电机组输出功率特性分析

doi:10.3901/JME.2017.22.198

机械工程学报 ›› 2017, Vol. 53 ›› Issue (22): 198-205.doi: 10.3901/JME.2017.22.198

• 可再生能源与工程热物理 • 上一篇下一篇

基于云模型的风电机组输出功率特性分析

董兴辉¹, 张鑫淼¹, 张光¹, 王帅²

1. 华北电力大学能源动力与机械工程学院北京 102206;
2. 河南理工大学电气学院焦作 454000

收稿日期:2016-11-23 修回日期:2017-04-26 出版日期:2017-11-20 发布日期:2017-11-20
通讯作者: 张光(通信作者),男,1992年出生。主要研究方向为风电机组性能分析、健康评估。E-mail:1142101385@qq.com
作者简介:董兴辉,男,1962年出生,博士,教授。主要研究方向为风电机组性能分析、健康评估和状态预警等。E-mail:1534506234@qq.com
基金资助:
河北省科技计划资助项目（15214370D）。

Analysis of Wind Turbine Output Power Characteristic Based on Cloud Model

DONG Xinghui¹, ZHANG Xinmiao¹, ZHANG Guang¹, WANG Shuai²

1. School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206;
2. School of Electric Engineering, Henan Polytechnic University, Jiaozuo 454000

Received:2016-11-23 Revised:2017-04-26 Online:2017-11-20 Published:2017-11-20

摘要/Abstract

摘要： 风电机组性能的优劣直接影响着风电场安全生产和经济效益。输出功率是风电机组最重要、最具代表性的性能指标之一，风功率曲线是机组发电能力最直观的表述。以输出功率和风速为数据源，应用云模型特征量研究风电机组输出功率的波动特性，有利于掌握风电机组性能状态。在对风电机组SCADA系统风速、功率数据筛选的基础上，描绘风电机组正常工作状态下的风功率散点图，采用比恩法建立风电机组实际风功率曲线；统计分析不同风速区间的输出功率，利用逆向云发生器建立不同风速下的输出功率云模型，得到不同机组的整体功率云；通过对比分析功率云的特征值，实现输出功率大小、波动范围和离散程度的量化分析；同时计算风速、功率相关系数反映和评价机组响应的灵敏度。云模型的应用，把机组状态从定性评价拓展到定量评价，从宏观综合评价深入到风速区间段精准评价，提高了风电机组性能分析的准确性和全面性。最后，应用实例验证了算法的有效性和可靠性。

关键词: 波动性, 风电机组, 灵敏度, 输出功率, 性能分析, 云模型

Abstract: The performance of the wind turbine has a direct impact on the safety production and economic benefit of the wind farm. The output power is one of the most important and representative performance indexes of the wind turbine. The wind power curve is the most direct expression of its electricity-generating capacity. Using the output power and wind speed as the data source, the characteristic value of cloud model is adopted to study the fluctuation characteristics of output power, which is beneficial to learning the production status of the wind turbine. Based on the data sieving of the wind speed and power data collected by wind turbine SCADA system, a scatter plot is drawn to describe the wind speed and power in the normal working state of the wind turbine, and the actual wind power curve of wind turbine is established by method of bins. The overall power cloud of different units can be obtained through the statistical analysis of the output power of different wind speed ranges and the output power cloud model of different wind speeds that is constructed by the reverse cloud generator. The output power size, the fluctuation range and the degree of dispersion are quantitatively analyzed through comparing the characteristic value of the power cloud. At the same time, the correlation coefficients of wind speed and power are calculated to reflect and evaluate the sensitivity of the wind turbine response. The application of cloud model allows the evaluation of unit state to develop from a qualitative one to a quantitative one, from a comprehensive macro assessment to a precise assessment based on different wind speed range segments. In this way, it improves the accuracy and comprehensiveness of wind turbine performance analysis. Lastly, an applied example is used to prove the effectiveness and reliability of the algorithm.

Key words: cloud model, output power, performance analysis, sensitivity, volatility, wind turbine

中图分类号:

TM614

董兴辉, 张鑫淼, 张光, 王帅. 基于云模型的风电机组输出功率特性分析[J]. 机械工程学报, 2017, 53(22): 198-205.

DONG Xinghui, ZHANG Xinmiao, ZHANG Guang, WANG Shuai. Analysis of Wind Turbine Output Power Characteristic Based on Cloud Model[J]. Journal of Mechanical Engineering, 2017, 53(22): 198-205.

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基于云模型的风电机组输出功率特性分析

Analysis of Wind Turbine Output Power Characteristic Based on Cloud Model

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