基于随机潮流的静态安全分析方法

发布时间：2018-06-07 21:00

本文选题：随机潮流 + 静态安全分析　；参考：《东南大学》2015年硕士论文

【摘要】：静态安全分析是电力系统规划和运行中的一个基本问题。传统的电力系统静态安全分析,采用确定性的潮流计算方法。但随着区域大电网互联结构日趋紧密以及风能发电、太阳能发电等新能源发电的不断接入,电力系统中的不确定性因素大大增加,传统的逐点分析方法日益暴露出局限性,不确定分析方法,特别是随机潮流方法开始受到人们的重视。随机潮流考虑了发电机随机出力和负荷波动等不确定因素对系统的影响,通过计算得到节点电压和支路潮流的随机分布,为规划、运行人员提供更全面的信息。本文在研究了基于半不变量和Gram-Charlier级数展开的随机潮流计算方法的基础上,将其应用于静态安全分析中。首先,介绍了半不变量理论和Gram-Charlier级数,并针对Gram-Charlier级数展开法在离散分布求解的不足,采用了一种Von Mises方法进行求解,得到了较好的效果。然后,建立了发电机、负荷和风电场的随机模型,建立了直流潮流随机模型和交流潮流随机模型,并从标准直流潮流的假设条件出发,引入修正因子对其进行修正,降低误差,并采用IEEE14节点系统和某省级电网实际系统作为算例进行了验证。针对现有电力系统静态安全分析所采用的故障行为指标无法适用于存在不确定性因素的情况,提出了一种将不确定因素对支路功率的影响和支路的负载率结合起来的故障排序行为指标,并在引入补偿法模拟支路开断的基础上,根据该行为指标,采用改进的直流潮流算法进行预想事故自动选择与排序,得到预想事故一览表。然后,采用线性化交流随机潮流依次对一览表中的预想事故进行准确的N-1校验。最后,采用IEEE14节点系统和某省级电网实际系统作为算例进行分析,结果表明本文所述方法能够全面的反映严重预想事故对系统的影响,而且计算速度较快,证明了所述方法的有效性和实用性。
[Abstract]:Static safety analysis is a basic problem in power system planning and operation. The traditional static security analysis of power system adopts deterministic power flow calculation method. However, with the increasingly close interconnection structure of regional large power grid and the continuous access of new energy generation such as wind power generation and solar power generation, the uncertainty factors in power system are greatly increased, and the traditional point-by-point analysis method increasingly exposes its limitations. Uncertain analysis methods, especially stochastic power flow methods, have been paid more and more attention. The random power flow takes into account the influence of uncertain factors such as generator random output force and load fluctuation on the system. The random distribution of node voltage and branch power flow is obtained by calculation, which provides more comprehensive information for planning and operation personnel. Based on the study of the stochastic power flow calculation method based on semi-invariant and Gram-Charlier series expansion, this paper applies it to static security analysis. Firstly, the semi-invariant theory and Gram-Charlier series are introduced, and a Von Mises method is used to solve the problems of Gram-Charlier series expansion method in discrete distribution. Then, the random models of generator, load and wind farm, DC power flow random model and AC power flow random model are established, and based on the assumption of standard DC power flow, the correction factor is introduced to reduce the error. The IEEE 14 bus system and a provincial power system are used as examples. In view of the failure behavior index used in the static safety analysis of power system, it can not be applied to the situation where there are uncertain factors. A fault sequencing behavior index which combines the influence of uncertain factors on branch power and the load rate of branch is proposed, and the compensation method is introduced to simulate the branch breaking, according to the behavior index. An improved DC power flow algorithm is used to automatically select and sort the expected accidents, and a list of the expected accidents is obtained. Then, the linear alternating current random power flow is used to calibrate the expected accidents in the list. Finally, the IEEE 14 bus system and a provincial power system are used as examples. The results show that the method presented in this paper can fully reflect the impact of serious accidents on the system, and the calculation speed is fast. The validity and practicability of the method are proved.
【学位授予单位】：东南大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TM711

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