考虑风电场相关性的含风电电力系统随机潮流分析

发布时间：2018-04-29 06:20

本文选题：风速相关性 + 随机潮流　；参考：《电网技术》2014年08期

【摘要】：地理位置接近的不同风电场的风速具有较强的相关性,这将会影响含风电电力系统随机潮流分析评估的结果。首先根据多风电场的风速历史数据建立了考虑不同风电场相关性的风速离散化联合概率模型,在此基础上结合半不变量和级数展开方法,提出考虑风电场相关性的含风电电力系统随机潮流分析评估模型,得到各节点电压的分布和越限概率等指标,同时该模型也可以考虑风电场有功无功出力的相关性。对某实际电力系统的算例验证结果表明,所提算法较不考虑风电场相关性的随机潮流结果的精度提高了很多;与蒙特卡洛方法计算结果相比误差较小,而计算速度大大提高。该算法可以快速有效地得到含风电电力系统的随机潮流评估指标,并针对所得结果提出相应的无功补偿方案,具有较好的工程应用价值。
[Abstract]:The wind speed of different wind farms with close geographical location has a strong correlation, which will affect the results of stochastic power flow analysis and evaluation of wind power systems. Based on the wind speed historical data of multi-wind farms, a combined probability model of wind speed discretization considering the correlation of different wind farms is established. Based on this model, the semi-invariant and series expansion method is combined. A stochastic power flow analysis and evaluation model for wind power system with wind farm correlation is proposed to obtain the distribution of voltage and probability of outage of each node. The model can also take into account the correlation of active and reactive power output of wind farm. The simulation results of a practical power system show that the proposed algorithm improves the accuracy of the stochastic power flow results without considering the wind farm correlation, and the error is smaller than that of the Monte Carlo method, and the calculation speed is greatly improved. This algorithm can quickly and effectively obtain the evaluation index of stochastic power flow in wind power system, and put forward the corresponding reactive power compensation scheme according to the obtained results, which has good engineering application value.
【作者单位】：中国电力科学研究院;西安交通大学电气工程学院;
【基金】：国家电网公司科技项目(NY71-13-001)~~
【分类号】：TM614

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