检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:林今[1] 孙元章[1] P.SФRENSEN 李国杰[1] 程林[1] 黎雄[1]
机构地区:[1]电力系统国家重点实验室,清华大学电机系,北京市100084 [2]Wind Energy Division at Riso DTU,Technical University of Denmark,Roskilde 4000,丹麦
出 处:《电力系统自动化》2011年第4期65-69,共5页Automation of Electric Power Systems
基 金:国家自然科学基金资助项目(50977050,50823001)~~
摘 要:随着国内风电装机容量的不断攀升,风电场的随机功率波动将显著影响电力系统的安全可靠运行。现有研究多从时域或统计的角度出发,研究功率波动对电力系统的影响。然而,由于时域或统计的方法无法完整描述功率波动产生的物理机理,其评估结果偏差较大。为了克服以上问题,文中从频域的角度出发,以风速的谱密度函数为基础,结合风电机组的频域模型及风电场天气、地理位置等信息,研究大型风电场随机功率波动的频域特性。相对于传统的时域或统计方法,基于频域的方法物理意义更为清晰,能够针对大型风电场功率波动形成的每一个过程均建立较为准确且实用的模型。通过对比某风电场的实测与仿真数据,验证了所提出方法的正确性和有效性。With the capacity of installed wind power generators steadily increasing in China, power fluctuation from wind farms will significantly affect the security and reliability of the power system. Traditional modeling of power fluctuation is based on the time domain or statistics methodology which, however, is incapable of completely explaining the physical mechanism of randomness of power fluctuation. To remedy such a situation, fluctuation modeling based on the frequency domain is proposed. The frequency domain characteristics of stochastic fluctuation on large wind farms are studied using the power spectral density of wind speed, the frequency domain model of a wind power generator and the information on weather and geography of the wind farms. The correctness and effectiveness of the model are verified by comparing the measurement data with simulation results of a certain wind farm. This work is supported by National Natural Science Foundation of China (No. 50977050, No. 50823001).
分 类 号:TM614[电气工程—电力系统及自动化]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.148