| 引用本文: | 宣锐峰,王亚楠,万要军,等.基于Faure序列的电力系统概率潮流计算[J].电力系统保护与控制,2015,43(20):15-20.[点击复制] |
| XUAN Ruifeng,WANG Yanan,WAN Yaojun,et al.Probabilistic power flow calculation based on Faure sequence with wind farms[J].Power System Protection and Control,2015,43(20):15-20[点击复制] |
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| 摘要: |
| 风电场的大规模接入使得在进行电力系统概率潮流计算时需要考虑风电场出力的随机性。传统的蒙特卡洛法计算时间长、占用内存大。提出一种基于Faure序列的含风电场电力系统概率潮流计算方法。IEEE30节点和IEEE118节点系统对所提方法的准确性与有效性进行了仿真验证。仿真结果表明：Faure序列法可以较好地估计输出随机变量的概率分布，能有效地处理间歇性能源接入系统后的不确定性问题。 |
| 关键词: Faure序列 拟蒙特卡洛法 概率潮流 风电场 |
| DOI：10.7667/j.issn.1674-3415.2015.20.003 |
| 投稿时间：2015-01-21修订日期：2015-04-01 |
| 基金项目: |
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| Probabilistic power flow calculation based on Faure sequence with wind farms |
| XUAN Ruifeng,WANG Yanan,WAN Yaojun,ZHANG Xinsheng |
| (XJ Group Corporation, Xuchang 461000, China) |
| Abstract: |
| With large-scale integration of wind farms into power system, the wind power uncertainty is necessary to be taken into consideration when probabilistic power flow calculation is carried out. Traditional Monte Carlo simulation method requires thousands of stochastic simulation times which needs much time in order to obtain a reasonable simulation result. Faure sequence method which has equidistributed sample values is used to improve the sample values coverage of random variables input space. Then this method is used to the probabilistic power flow calculation of power system including wind farms. The accuracy and validity of proposed method are tested on IEEE 30 bus system and IEEE 118 bus system. The simulation results show that the Faure sequence method has the advantages of fast computation and high accuracy and it can estimate the probability distribution of the output random variables and deal with the uncertainties in power system. |
| Key words: Faure sequence quasi-Monte Carlo probabilistic power flow wind farm |
