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考虑风速分区的风——储系统短期频率响应协同控制策略 被引量:32
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作者 彭勃 张峰 梁军 《电力系统自动化》 EI CSCD 北大核心 2018年第8期57-65,共9页
在高风电渗透率电力系统中,针对双馈感应风电机组的转子转速与电网频率解耦所造成的机组惯性与频率响应能力缺失的问题,提出了基于模糊逻辑控制的风—储系统协同运行控制策略。该控制策略通过在风—储控制系统中嵌入模糊逻辑控制器来决... 在高风电渗透率电力系统中,针对双馈感应风电机组的转子转速与电网频率解耦所造成的机组惯性与频率响应能力缺失的问题,提出了基于模糊逻辑控制的风—储系统协同运行控制策略。该控制策略通过在风—储控制系统中嵌入模糊逻辑控制器来决策风—储系统响应电网频率波动的总有功出力和风力机转子动能的调频参与系数。基于此,根据不同风速下的风电机组运行特性将风速分区,并针对各风速区间构建了适应该区间转速—功率特点的风—储系统运行策略,使风—储系统具备能适应多种风况的短期频率响应能力。仿真结果表明:文中所提出的风—储系统协同运行控制策略能有效提升风—储系统的惯性以及短期频率响应能力,不仅能使风—储系统的短期频率响应能力适应多种风况,还可避免风电机组退出调频造成的频率二次跌落问题,同时改善了高风电渗透率电力系统的频率稳定性。 展开更多
关键词 风力发电 双馈感应发电机 储能 风速分区 模糊逻辑控制 短期频率响应 频率稳定
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考虑风速分区的双馈风机并网小干扰稳定分析 被引量:3
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作者 贾燕冰 李玉博 +3 位作者 麻金碧 田晋杰 王金浩 李慧蓬 《电力建设》 北大核心 2018年第7期97-106,共10页
为准确分析双馈风机并网对电网小干扰稳定性的影响,双馈风机低于额定风速运行时,根据功率特性和机械特性将其分为最大功率跟踪区和恒转速区2个分区。针对双馈风机-无穷大系统,采用李雅普诺夫线性化方法,分别建立最大功率跟踪区和恒转速... 为准确分析双馈风机并网对电网小干扰稳定性的影响,双馈风机低于额定风速运行时,根据功率特性和机械特性将其分为最大功率跟踪区和恒转速区2个分区。针对双馈风机-无穷大系统,采用李雅普诺夫线性化方法,分别建立最大功率跟踪区和恒转速区13阶小信号模型,采用特征根分析法,对比分析了各分区变换器控制器参数和风速对双馈风机-无穷大系统小干扰稳定性的影响。算例结果表明:2个分区内系统小干扰稳定的参数可行域不同,系统小干扰稳定特性不同,低于额定风速下进行分区研究可以更加精确地评估风机并网的小干扰稳定特性。 展开更多
关键词 风速分区 双馈风机并网 小干扰稳定性 最大功率跟踪区 恒转速区
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计及全风况小干扰稳定的双馈风机变换器控制参数设计 被引量:1
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作者 李玉博 贾燕冰 +1 位作者 王金浩 马荣荣 《电机与控制应用》 2018年第11期94-103,共10页
随着双馈风电并网容量增大,系统的稳定性与风机变换器控制参数的相关性也越来越大,风机变换器控制参数整定时必须计及电网小干扰稳定性。针对双馈风机单机无穷大系统,建立风机工作在全风况下的小信号模型,采用李雅普诺夫线性化方法并考... 随着双馈风电并网容量增大,系统的稳定性与风机变换器控制参数的相关性也越来越大,风机变换器控制参数整定时必须计及电网小干扰稳定性。针对双馈风机单机无穷大系统,建立风机工作在全风况下的小信号模型,采用李雅普诺夫线性化方法并考虑风速分区,分别推导出风机在最大功率跟踪区、恒转速区、恒功率区电网小干扰稳定分析的状态方程。分析风机变换器控制参数与特征根之间的相关性,引入表征系统稳定性强弱的小干扰稳定裕度指标,提出使系统全风况小干扰稳定的风机变换器控制参数设计方案。实例仿真表明:所提方案可快速获取有效参数,并保证全风况下电网小干扰稳定性。 展开更多
关键词 双馈风机 小干扰稳定 控制参数设计 风速分区
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Projections of Wind Changes for 21st Century in China by Three Regional Climate Models 被引量:13
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作者 JIANG Ying Luo Yong +3 位作者 ZHAO Zongci SHI Ying XU Yinlong ZHU Jinhong 《Chinese Geographical Science》 SCIE CSCD 2010年第3期226-235,共10页
This paper examines the capability of three regional climate models (RCMs), i.e., RegCM3 (the International Centre for Theoretical Physics Regional Climate Model), PRECIS (Providing Regional Climates for Impacts Studi... This paper examines the capability of three regional climate models (RCMs), i.e., RegCM3 (the International Centre for Theoretical Physics Regional Climate Model), PRECIS (Providing Regional Climates for Impacts Studies) and CMM5 (the fifth-generation Pennsylvania State University-the National Center for Atmospheric Research of USA, NCAR Mesoscale Model) to simulate the near-surface-layer winds (10 m above surface) all over China in the late 20th century. Results suggest that like global climate models (GCMs), these RCMs have the certain capability of imitating the distribution of mean wind speed and fail to simulate the greatly weakening wind trends for the past 50 years in the country. However, RCMs especially RegCM3 have the better capability than that of GCMs to simulate the distribution and change feature of mean wind speed. In view of their merits, these RCMs were used to project the variability of near-surface-layer winds over China for the 21st century. The results show that 1) summer mean wind speed for 2020-2029 will be lower compared to those in 1990-1999 in most area of China; 2) annual and winter mean wind speed for 2081-2100 will be lower than those of 1971-1990 in the whole China; and 3) the changes of summer mean wind speed for 2081-2100 are uncertain. As a result, although climate models are absolutely necessary for projecting climate change to come, there are great uncertainties in projections, especially for wind speed, and these issues need to be further explored. 展开更多
关键词 wind speed PROJECTION regional climate model global climate model
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The Observed Low CO_2 Concentration in the Rongbuk Valley on the Northern Slope of Mt. Everest
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作者 ZHOU Li-Bo ZOU Han +3 位作者 MA Shu-Po LI Peng ZHU Jin-Huan HUO Cui-Ping 《Atmospheric and Oceanic Science Letters》 2010年第5期252-257,共6页
In the summers of 2006 and 2007, the atmospheric CO2 concentration and the wind speed in the Rongbuk Valley on the northern slope of Mr. Everest were measured by an ultrasonic anemometer with an Li-7500 CO2/H2O gas an... In the summers of 2006 and 2007, the atmospheric CO2 concentration and the wind speed in the Rongbuk Valley on the northern slope of Mr. Everest were measured by an ultrasonic anemometer with an Li-7500 CO2/H2O gas analyzer. The average CO2 concentration was 370.23±0.59 and 367.45±1.91 ppm in June of 2006 and 2007, respectively. The values are much lower than those at sites with similar latitudes and altitudes worldwide. The observed atmospheric CO2 concentration in Rongbuk Valley can be affected by the transportation of prevailing down-valley winds from the up-valley direction to the observation site. Our results suggest that the Mt. Everest region could be ideal for background atmospheric and environmental studies. 展开更多
关键词 atmospheric CO2 concentration Mt. Everest local wind system
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