基于支路有功功率的配电网拓扑辨识方法  被引量:14

Distribution network topology identification method based on branch active power

在线阅读下载全文

作  者:刘迪 张强[1] 吕干云[1] 吴嘉璐 徐慧敏 LIU Di;ZHANG Qiang;LYU Ganyun;WU Jialu;XU Huimin(School of Electric Power Engineering,Nanjing Institute of Technology,Nanjing 211167,China)

机构地区:[1]南京工程学院电力工程学院,江苏南京211167

出  处:《电力工程技术》2021年第3期92-98,共7页Electric Power Engineering Technology

基  金:江苏省高等学校自然科学研究重大项目“含高渗透率分布电源配电网电压暂降鲁棒状态估计及应用”(19KJA510012)资助

摘  要:针对配电网量测冗余度低且开关变化频繁、识别出正确的拓扑结构存在困难的现状,文中提出一种基于支路有功功率的配电网拓扑结构识别方法。该方法基于支路有功功率残值的大小选择可能断开的支路,得到若干种可能拓扑结构;采用相同量测值,在每个可能拓扑结构下分别进行状态估计并计算匹配目标函数值,从可能拓扑结构集中找到可能性最高的拓扑结构作为可信拓扑结构,降低配电网拓扑结构分析的解空间;并引入快速潮流直流法进行状态估计,提高了算法的计算效率,从而把此类配电网拓扑检错问题转换为以量测值匹配度高为目的的配电网重构问题。算例表明,该方法合理有效,快速简便,且在带有较大量测误差的情况下也有很好的适应性。In view of the low measurement redundancy and frequent switch changes in distribution network,it is difficult to identify the correct topology.A topology identification method based on branch active power is proposed.Based on the residual value of active power,he method selects the branches that may be disconnected and obtains several possible topologies.The state estimation is carried out under each possible topology with the same measurement value,and the matching objective function value is calculated.The topology with the highest possibility is found from the set of possible topologies as the trusted topology.This method greatly reduces the solution space of distribution network topology analysis by calculating the branch active power residual value,and introduces the fast power flow direct current method to estimate the state,which improves the calculation efficiency of the algorithm,thus transforming this kind of distribution network topology error detection problem into a distribution network reconfiguration problem with high matching degree of measured values.The example shows that the method is reasonable,effective,fast and simple,and has good adaptability in the case of large measurement error.

关 键 词:配电网 拓扑识别 最小二乘 状态估计 支路功率 

分 类 号:TM711[电气工程—电力系统及自动化]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象