风电场多尺度动态聚合模型的研究
发布时间：2019-02-22 10:47
【摘要】：随着风电场建设日趋大型化、规模化,以及风电在电力结构中的比例不断提高,风力发电问题已经不再是单独的发电技术问题。风力发电与电力系统之间的联系越来越紧密,相互之间的作用也越来越复杂。为了准确分析接入电力系统后,风电场所表现出来的动态特性以及给系统带来的影响,需要对风电场模型进行深入研究。基于风电场本身具有的多时空尺度特性,本文分别对变速风电机组的时间尺度和风电场的空间尺度进行研究,并建立了多尺度风电场动态聚合模型。 本文首先针对变速风电机组,提出了多时间尺度建模方法,即按照其快慢动态行为将风电机组建模划分为分钟级时间尺度和秒级时间尺度。通过分析变速风电机组各环节数学模型及其运行控制特性,对变速风电机组模块化结构下的每个模块在不同时间尺度下的控制策略进行研究,并在DIgSILENT/Power Factory仿真平台上搭建实现。仿真结果表明了本文所建立的多时间尺度变速机组模型的准确性及全面性,为风电场建模提供了单机模型基础。 其次,建立了考虑尾流效应的风速分布模型作为风电场的风能输入模块,并基于MATLAB编程实现形成不同时刻的风速分布矩阵,为风电场详细模型的风速输入模块提供参数矩阵,并为机组空间尺度划分提供数据样本。 最后,建立了变空间尺度的风电场动态聚合模型。通过分析风电机组的运行特性,提出了由风速、机组有功出力、无功功率参考值、机组类型以及出口电压组成的风电场的空间尺度划分指标体系。基于该指标体系采用改进的κ-均值聚类算法对同一空间关系中的机组群进行聚类,并按照功率守恒定律对机组参数进行等值计算。综合上述计算结果,在DIgSILENT上建立了变空间尺度的风电场动态聚合模型并进行仿真分析,结果表明本文建立的多尺度动态聚合风电场模型能够很好地反映风电场的出口特性,具有更接近于实际风电场的动态响应。
[Abstract]:With the construction of wind farm becoming larger and the proportion of wind power in power structure increasing the problem of wind power generation is no longer a separate technical problem of power generation. The relationship between wind power generation and power system is more and more close, and the interaction between wind power generation and power system is becoming more and more complex. In order to accurately analyze the dynamic characteristics of wind farm and its influence on the power system, it is necessary to study the wind farm model deeply. Based on the multi-scale characteristics of wind farm, the time scale of wind turbine and the spatial scale of wind farm are studied in this paper, and the dynamic aggregation model of multi-scale wind farm is established. In this paper, a multi-time scale modeling method for variable-speed wind turbine is proposed. According to its fast and slow dynamic behavior, wind turbine modeling is divided into minute time scale and second time scale. By analyzing the mathematical model of each link of the variable speed wind turbine and its operation control characteristics, the control strategy of each module under the modular structure of the variable speed wind turbine under different time scales is studied. And build the implementation on the DIgSILENT/Power Factory simulation platform. The simulation results show the accuracy and comprehensiveness of the multi-time scale transmission unit model established in this paper, which provides a single model foundation for wind farm modeling. Secondly, the wind velocity distribution model considering wake effect is established as wind power input module of wind farm, and the wind speed distribution matrix at different times is realized based on MATLAB programming, which provides parameter matrix for wind speed input module of wind farm detailed model. Data samples are provided for the space scale partition of the unit. Finally, the dynamic aggregation model of wind farm with variable spatial scale is established. Based on the analysis of the operating characteristics of wind turbines, a spatial scale classification index system of wind farms composed of wind speed, unit active power, reactive power reference value, unit type and outlet voltage is proposed. Based on this index system, the improved 魏 -means clustering algorithm is used to cluster the units in the same spatial relationship, and the unit parameters are calculated according to the conservation law of power. Based on the above calculation results, the dynamic aggregation model of wind farm with variable spatial scale is established on DIgSILENT and simulated. The results show that the multi-scale dynamic aggregate wind farm model can well reflect the export characteristics of wind farm. The dynamic response of the wind farm is closer to that of the actual wind farm.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM614
本文编号：2428140
[Abstract]:With the construction of wind farm becoming larger and the proportion of wind power in power structure increasing the problem of wind power generation is no longer a separate technical problem of power generation. The relationship between wind power generation and power system is more and more close, and the interaction between wind power generation and power system is becoming more and more complex. In order to accurately analyze the dynamic characteristics of wind farm and its influence on the power system, it is necessary to study the wind farm model deeply. Based on the multi-scale characteristics of wind farm, the time scale of wind turbine and the spatial scale of wind farm are studied in this paper, and the dynamic aggregation model of multi-scale wind farm is established. In this paper, a multi-time scale modeling method for variable-speed wind turbine is proposed. According to its fast and slow dynamic behavior, wind turbine modeling is divided into minute time scale and second time scale. By analyzing the mathematical model of each link of the variable speed wind turbine and its operation control characteristics, the control strategy of each module under the modular structure of the variable speed wind turbine under different time scales is studied. And build the implementation on the DIgSILENT/Power Factory simulation platform. The simulation results show the accuracy and comprehensiveness of the multi-time scale transmission unit model established in this paper, which provides a single model foundation for wind farm modeling. Secondly, the wind velocity distribution model considering wake effect is established as wind power input module of wind farm, and the wind speed distribution matrix at different times is realized based on MATLAB programming, which provides parameter matrix for wind speed input module of wind farm detailed model. Data samples are provided for the space scale partition of the unit. Finally, the dynamic aggregation model of wind farm with variable spatial scale is established. Based on the analysis of the operating characteristics of wind turbines, a spatial scale classification index system of wind farms composed of wind speed, unit active power, reactive power reference value, unit type and outlet voltage is proposed. Based on this index system, the improved 魏 -means clustering algorithm is used to cluster the units in the same spatial relationship, and the unit parameters are calculated according to the conservation law of power. Based on the above calculation results, the dynamic aggregation model of wind farm with variable spatial scale is established on DIgSILENT and simulated. The results show that the multi-scale dynamic aggregate wind farm model can well reflect the export characteristics of wind farm. The dynamic response of the wind farm is closer to that of the actual wind farm.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM614
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