基于阻抗模型故障特征匹配法的含DG配电网故障测距研究

The fault accurate location in distribution network has is a difficult problem that have not been solved well until now. Distribution generators(DGs) make the fault location in distribution network more difficult. The studies on the fault loaction method play a very important role in restoring power supply and decreasing the outage economic loss in the distribution network with DG. .Basen on the impendence fault location method and fault characteristics matching method, a new fault location method is proposed in this project to locate the fault position in the distribution network with DG by improved impendence model and differential evolution fault characteristics match algorithm. A three phases asymmetric improved impendence model of the distribution network with DG is built with considering the correlation of the measured data and the nonlinearity of the grounded-fault resistence into the model. Then, the fault characteristics of the distribution network with DG are analyzed and abstracted. Furthermore, the fault charactereistics difference between the simulation fault conditions and the actual fault condition is regarded as the evolution fitness index and the simulation condition with the most similar characteristics is quikly searched with the differential evolution algorithm. The fault position in simulation condition with the most simliar fault characteristics is the fault location output..The proposed fault location method in this project overcomes the shortcomings of the low accuraty in the impendence fault location method and the slow calculation speed in the genetic algorithm fault characteristic matching fault location method. The proposed fault location method has a high accurate location output and rapid calculation speed. It can be used to locate accurately the fault position in any complex distribution network with DG. The research works in this project play a very important roles in the theory and application fields in distribution network.

电力系统配电网的故障精确测距是一个一直没有得到很好解决的难题，分布式电源(DG)的引入增加了精确测距的难度,其研究对尽快恢复供电及减少停电经济损失具有重要作用。.本研究在现有含DG配电网阻抗故障测距法和故障特征匹配测距法基础上，提出了一种基于改进阻抗模型和差分进化故障特征匹配的含DG配电网测距新算法。该方法考虑量测数据的相关性和接地电阻的非线性建立含DG配电网三相不对称改进阻抗模型，分析并提取含DG配网阻抗模型下的故障特征。以不同仿真故障下与实际故障下的系统故障特征匹配程度为进化适应度指标，利用差分进化算法快速搜索与实际故障特征最为匹配的仿真故障位置作为输出的故障距离。.该方法克服了现有阻抗法测距精度不高和基于遗传算法故障特征匹配法速度慢的缺点，具有测距精度高和计算速度快的优点，可用于含DG复杂配电网的精确故障测距，具有重要的理论和实际应用价值。

本研究在现有含DG配电网阻抗故障测距法和故障特征匹配测距法的基础上，提出了一种基于改进阻抗模型和智能故障特征匹配的含DG配电网测距新算法。主要研究内容包括基于改进阻抗模型的含DG配电网建模、改进阻抗模型含DG配电网故的障特征分析与提取以及基于智能故障特征匹配的含DG配电网故障测距三部分内容。项目组按照研究计划进度完成了相关研究内容。. 项目组针对现有含DG配电网线性阻抗模型与实际配电网中非线性阻抗模型有较大差距的问题，采用复相关戴维南等值电源阻抗模型和非线性接地电阻模型对含DG配电网三相不平衡阻抗模型进行改进。根据配电网中不同故障条件下发生故障时通过各电源点电压故障分量计算得到的该节点的故障电流与所有电源共同作用产生的故障电流相同这一理论，项目组基于差分进化算法和人工蜂群算法提出了两种配电网故障特征智能匹配的故障测距方法。为提高算法的收敛速度，根据故障特征值合理确定出故障线路、故障分支和故障距离等变量初始种群，并对优化模型进行降维和分层处理。并在此基础上，形成了一种基于含DG配电网改进阻抗模型和故障特征智能匹配的测距新方法。. 项目组的相关研究成果在国内外高水平学术期刊和国际学术会议上发表论文22篇，其中EI收录14篇。申请国家发明专利3项，其中获授权2项，获软件著作权1项，参加6人次国际学术会议，培养硕士研究生5名，博士研究生1名。达到了预期研究成果。