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机构地区:[1]上海交通大学电子信息与电气工程学院,上海200240
出 处:《电力自动化设备》2010年第10期79-83,共5页Electric Power Automation Equipment
基 金:国家863专项科研基金项目(2007AA05Z458)~~
摘 要:采用频率和持续时间法的思想,通过风电场的风速数据和风电机组特性参数求得风电场各个状态的概率、频率、转移率。在马尔科夫链法的基础上,充分考虑风电场出力的随机性特点和风机的强迫停运率,建立了基于解析法的风电场可靠性模型。该模型采用聚集的思想,将风电场建模成一个类似于多状态的常规机组,大幅减少了风电场输出功率状态数。在RBTS测试系统中加入10台相同的V80-2 MW风机进行仿真,利用可靠性指标缺负荷期望(LOLE)、缺负荷频率(LOLF)、缺负荷持续时间(LOLD)反映风电场对系统可靠性的影响。通过对仿真结果的比较分析,证明了所提模型的可行性和有效性。Based on the concept of frequency and duration,the probability,frequency,transfer rate of each wind farm state are calculated with the wind speed data and wind turbine parameters. On the basis of Markov chain method,a wind farm reliability model based on analytical method is proposed with the stochastic characteristics of wind farm power output and the forced outage rate of wing turbine fully considered. The aggregation concept is applied to model the wind farm as a conventional unit with multiple states,which greatly decreases the power output states. Simulation is carried out for the RBTS(Roy Billinton Test System) added with ten V80-2 MW wind turbines and the indexes of LOLE(Loss Of Load Expectation), LOLF(LOss Of Load Frequency) and LOLD(Loss Of Load Duration) are used to evaluate the effect of wind farm on power system reliability. The comparative analysis shows the proposed model is feasible and effective.
分 类 号:TM614[电气工程—电力系统及自动化]
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