基于潮流的配电网最大供电能力研究

发布时间：2018-05-05 18:20

本文选题：配电网 + 最大供电能力　；参考：《天津大学》2014年硕士论文

【摘要】：配电系统最大供电能力(Total Supply Capability,TSC)的准确计算具有重要的理论意义和应用价值。现有TSC计算方法没有精确计及网络损耗和电压降落,本文将潮流方程引入TSC模型,提出了基于潮流计算的TSC模型及求解算法。首先,本文给出了准确评估最大供电能力计算结果的校验方法,在N-1安全性校验中进行潮流计算、更为严格。该方法分两步:第一步基于主变和馈线N-1安全性原则校验最大供电能力工作点是否安全;第二步增加少量负荷,再进行一次主变和馈线N-1校验,看是否出现校验不通过。其次,建立了基于潮流TSC模型,以网络供负荷(不含网损)最大为目标函数,计及了正常和N-1后负荷转带的网损和电压降落,满足主变及馈线容量约束和电压约束。模型分为近似的单负荷点模型和精确的多负荷点模型,单负荷点模型将每条馈线负荷等效为一个在馈线末端的负荷点,该模型计算更简单快速,适用于规划网的TSC计算或优化调用TSC计算;多负荷点模型按照网络负荷点的实际位置进行潮流计算,计算更加精确,适用于现状网的TSC计算。基于潮流的TSC模型属于非线性规划模型,求解方法具有一定难度。本文提出利用Lingo中的既约广义梯度算法(GRG)求解非线性规划问题,利用前推回代算法解决潮流迭代问题,并针对精确模型的高维和大规模性,采用稀疏矩阵的技术进行存储和建模,减小问题复杂性。最后,利用RBTS扩展算例和较大规模实际电网算例验证两种模型的准确性并比较了与相对不计及潮流TSC方法以及本文两种模型之间的结果差别,比较发现本文方法更加精确。
[Abstract]:The accurate calculation of total Supply capability (TSC) of distribution system has important theoretical significance and application value. The current TSC calculation methods do not accurately take into account the network loss and voltage drop. In this paper, the power flow equation is introduced into the TSC model, and the TSC model based on power flow calculation and its solution algorithm are proposed. First of all, this paper presents a calibration method to accurately evaluate the calculation results of the maximum power supply capacity. The power flow calculation in the N-1 security check is more strict. The method is divided into two steps: the first step is based on the principle of main transformer and feeder N-1 security to check whether the maximum power supply working point is safe or not; the second step is to add a small amount of load and then carry out a check of the main transformer and feed line N-1 to see if the check does not pass. Secondly, based on the power flow TSC model, taking the maximum power supply load (excluding network loss) as the objective function, the network loss and voltage drop of normal and N-1 afterload transposed are taken into account to satisfy the main transformer and feeder capacity constraints and voltage constraints. The model is divided into approximate single load point model and accurate multi load point model. The single load point model equates each feeder load to a load point at the end of the feed line. The calculation of the model is simpler and faster. It is suitable for the TSC calculation of the planning network or the optimal call to the TSC calculation, and the multi-load point model can calculate the power flow according to the actual position of the network load point, so the calculation is more accurate and suitable for the TSC calculation of the current network. The TSC model based on power flow is a nonlinear programming model, and it is difficult to solve the problem. In this paper, the reduced generalized gradient algorithm (GRG) in Lingo is used to solve nonlinear programming problems, and the forward iteration algorithm is used to solve the power flow iteration problem. The sparse matrix technique is used to store and model the problem to reduce the complexity of the problem. Finally, the accuracy of the two models is verified by using RBTS extended examples and larger scale actual power network examples. The results of the two models are compared with the relative disregarding power flow TSC method and the two models in this paper. The comparison shows that the proposed method is more accurate.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM732;TM74

【参考文献】