风电场内机组出力的平滑效应分析
|
摘要
平滑效应是风电集群和风电基地的基本特性之一,探求其变化规律有利于减小风电并网对电力系统的负面影响程度。提出衡量风电平滑效应的指标,建立衡量风电平滑效应的数学模型。利用Copula函数求取平滑指标中的非线性相关系数。分析不同风机间距、不同风速、不同时间尺度及风机数量对平滑效应的影响。
Smoothing effect is one of the basic characteristics of wind power cluster and wind power base.Exploring the rule of its change will help reduce the negative impact upon wind power integration.This paper proposed an index and established a mathematical model for measuring wind power smoothing effect.The nonlinear correlation coefficient in the smoothing index was obtained by using Copula function and the effects of different distances,wind speed,time scale and number of the wind turbines on the smoothing effect were analyzed.
Smoothing effect is one of the basic characteristics of wind power cluster and wind power base.Exploring the rule of its change will help reduce the negative impact upon wind power integration.This paper proposed an index and established a mathematical model for measuring wind power smoothing effect.The nonlinear correlation coefficient in the smoothing index was obtained by using Copula function and the effects of different distances,wind speed,time scale and number of the wind turbines on the smoothing effect were analyzed.
引文
[1] 黄林宏,宋丽莉,周荣卫,等.大型风电基地风电波动特征分析[J].中国电机工程学报,2017,37(6):1599-1609.
[2] 崔杨,穆钢,刘玉,等.风电功率波动的时空分布特性[J].电网技术,2011(2):110-114.
[3] 孟岩峰,,胡书举,宗斌,等.电网暂态故障下风电机组动态载荷分析[J].电器与能效管理技术,2018(5):73-79.
[4] SALGADOHERRERA N M,MEDINARIOS A,TAPIASáNCHEZ R.Reactive power compensation in wind energy systems through resonant corrector in distributed static compensator[J].Electric Power Components & Systems,2018,45(17):1859-1869.
[5] 郑鑫慧.含风电场的电力系统稳定性分析[D].秦皇岛:燕山大学,2015.
[6] 沈明力.永磁直驱型风电机组低电压穿越的关键技术[J].电器与能效管理技术,2018(12):61-66.
[7] IKEGAMI T,URABE C T,SAITOU T,et al.Numerical definitions of wind power output fluctuations for power system operations[J].Renewable Energy,2018,115:6-15.
[8] OLAUSON J,BERGKVIST M.Correlation between wind power generation in the European countries[J].Energy,2016,114:663-670.
[9] HAAN J E S D,FRUNT J,KLING W L.Mitigation of wind power fluctuations in smart grids[C]//Innovative Smart Grid Technologies Conference Europe.IEEE,2010:1-8.
[10] 朱敏,唐彬伟.风力发电机组分布式接入一次调压算法研究与应用[J].电器与能效管理技术,2018(23):62-67.
[11] 刘燕华,田茹,张东英,等.风电出力平滑效应的分析与应用[J].电网技术,2013,35(4):987-991.
[12] 王文玺,吴耀武,刘宝林,等.一种基于概率分布的风电场集群出力平滑效应的分析方法:,CN 106712112 A[P].2017.
[13] 赵冬梅,尹颢涵,王建锋,等.一种基于时域和集群效应分析间歇性能源出力的方法:,CN 104135036 A[P].2014.
[14] ASARI M,NANAHARA T,MAEJIMA T,et al.A study on smoothing effect on output fluctuation of distributed wind power generation[M].2002.
[15] 汪穗峰,陈绍南,陈碧云,等.考虑平滑效应的风电场功率模型[J].华南理工大学学报 (自然科学版),2014,42(4):34-39.
[16] 沈小军,周冲成,吕洪.基于运行数据的风电机组间风速相关性统计分析[J].电工技术学报,2017,32(16):265-274.
[17] 韦艳华,张世英.Copula理论及其在金融分析上的应用[M].北京:清华大学出版社,2008.
[2] 崔杨,穆钢,刘玉,等.风电功率波动的时空分布特性[J].电网技术,2011(2):110-114.
[3] 孟岩峰,,胡书举,宗斌,等.电网暂态故障下风电机组动态载荷分析[J].电器与能效管理技术,2018(5):73-79.
[4] SALGADOHERRERA N M,MEDINARIOS A,TAPIASáNCHEZ R.Reactive power compensation in wind energy systems through resonant corrector in distributed static compensator[J].Electric Power Components & Systems,2018,45(17):1859-1869.
[5] 郑鑫慧.含风电场的电力系统稳定性分析[D].秦皇岛:燕山大学,2015.
[6] 沈明力.永磁直驱型风电机组低电压穿越的关键技术[J].电器与能效管理技术,2018(12):61-66.
[7] IKEGAMI T,URABE C T,SAITOU T,et al.Numerical definitions of wind power output fluctuations for power system operations[J].Renewable Energy,2018,115:6-15.
[8] OLAUSON J,BERGKVIST M.Correlation between wind power generation in the European countries[J].Energy,2016,114:663-670.
[9] HAAN J E S D,FRUNT J,KLING W L.Mitigation of wind power fluctuations in smart grids[C]//Innovative Smart Grid Technologies Conference Europe.IEEE,2010:1-8.
[10] 朱敏,唐彬伟.风力发电机组分布式接入一次调压算法研究与应用[J].电器与能效管理技术,2018(23):62-67.
[11] 刘燕华,田茹,张东英,等.风电出力平滑效应的分析与应用[J].电网技术,2013,35(4):987-991.
[12] 王文玺,吴耀武,刘宝林,等.一种基于概率分布的风电场集群出力平滑效应的分析方法:,CN 106712112 A[P].2017.
[13] 赵冬梅,尹颢涵,王建锋,等.一种基于时域和集群效应分析间歇性能源出力的方法:,CN 104135036 A[P].2014.
[14] ASARI M,NANAHARA T,MAEJIMA T,et al.A study on smoothing effect on output fluctuation of distributed wind power generation[M].2002.
[15] 汪穗峰,陈绍南,陈碧云,等.考虑平滑效应的风电场功率模型[J].华南理工大学学报 (自然科学版),2014,42(4):34-39.
[16] 沈小军,周冲成,吕洪.基于运行数据的风电机组间风速相关性统计分析[J].电工技术学报,2017,32(16):265-274.
[17] 韦艳华,张世英.Copula理论及其在金融分析上的应用[M].北京:清华大学出版社,2008.