基于改进搜索算法的复杂配电网可靠性分析  

Reliability Analysis of Complex Distribution Network Based on Improved Search Algorithm

在线阅读下载全文

作  者:刘小康 张菁[1] 任丽佳 宋紫阳 刘传修 LIU Xiaokang;ZHAGN Jing;REN Lijia;SONG Ziyang;LIU Chuanxiu(School of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 201620,China)

机构地区:[1]上海工程技术大学电子电气工程学院

出  处:《上海工程技术大学学报》2019年第4期355-361,共7页Journal of Shanghai University of Engineering Science

基  金:上海工程技术大学研究生科研创新资助项目(0232-E3-0903-19-01272)

摘  要:现有算法在求取配电网可靠性指标时,一方面受到复杂程度的制约;另一方面在高维度计算时精度无法达到要求,对此提出一种适用于复杂配电网可靠性指标评估的新算法.该算法以搜索算法为主体,引入故障模式后果分析(FMEA)法和最小路法的思想,通过拓扑结构自主遍历并储存系统中每个元件参数,不受电网规模维数制约,在降低计算复杂度的同时提升计算速度和计算精度.最后通过算例验证所提出算法的正确性和准确性,进一步证明新算法和网络等值法相结合更能提升计算效率.该方法充分考虑了分支线的保护、分布式电源(Distributed Generation,DG)、隔离开关等因素对电网可靠性的影响,具有实际应用价值.To solve present problems that algorithms often restricted by complex distribution network and cannot meet the requirement of high dimension calculation when calculate reliability index of distribution network,a new algorithm was proposed.Taking the search algorithm as the main body,the FMEA method and the minimal path method were introduced,the algorithm can autonomously traverse and store the parameters of each component in system through the topology structure without restricted by the grid size dimension.It shows that the algorithm can reduce the computational complexity as well as improve the computational speed and accuracy.Finally,an example was given to verify the correctness and accuracy of the proposed algorithm.It was further proved that the combination of the new algorithm and network equivalent method could improve the computational efficiency.The algorithm fully considers the effects of factors such us branch line protection,distributed generation(DG),isolation switch on the reliability of power grid,which has practical application value.

关 键 词:复杂配电网 可靠性 搜索算法 网络等值法 

分 类 号:TM72[电气工程—电力系统及自动化] TP301[自动化与计算机技术—计算机系统结构]

 

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