A Combined Iteration Method for Probabilistic Load Flow Calculation Applied to Grid-Connected Induction Wind Power System

摘要：

Taking into account the uncertainties of load and wind power outputs, this paper proposes a combined iteration method for probabilistic load flow (PLF) applied to grid-connected induction wind power system. A probabilistic wind farm model is first developed. Then, the slip of induction generator along with the nodal voltages is corrected at each iteration of the PLF calculation, leading to a novel unified PLF iteration method for wind power generation system. Finally, Monte Carlo simulation (MCS) combined with Latin hypercube sampling (LHS) is used to perform the PLF. Simulation results show the effectiveness of the proposed method.

关键词： Combined iteration method Grid-connected induction wind power Probabilistic load flow Latin hypercube sampling

作者: Xue Li Jianxia Pei Dajun Du

作者单位: Department of Automation, Shanghai University, Shanghai, 200072, China

会议类型: 国际会议

会议名称: International Conference on Life System Modeling and Simulation,and International Conference on Intelligent Computing for Sustainable Energy and Environment(2010生命系统建模与仿真国际会议暨m2010可持续能源与环境智能计算国际会议)

会议地点: 无锡

会议语种:英文

页码: 290-296

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）