|Table of Contents|

Research on distribution network reconfiguration based oncable temperature constraint(PDF)

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2019年05期
Page:
563-570
Research Field:
Publishing date:

Info

Title:
Research on distribution network reconfiguration based oncable temperature constraint
Author(s):
Shi Zexuan1Zhang Xudong1Ying Zhanfeng1Chen Xiong23
1.School of Energy and Power Engineering,Nanjing University of Science and Technology,Nanjing 210094,China; 2.NARI Technology Co Ltd,Nanjing 211106,China; 3.State Grid Electric Power Research Institute,NARI Group Corporation,Nanjing 211106,China
Keywords:
cable transient thermal model distribution network reconfiguration temperature constraint line capacity
PACS:
TM732
DOI:
10.14177/j.cnki.32-1397n.2019.43.05.004
Abstract:
In order to overcome the shortcomings of taking the cable current carrying capacity as the line capacity constraint in the traditional distribution network reconstruction model,based on the cable transient thermal model,a distribution network reconstruction model taking the cable temperature constraints into consideration is proposed to minimize the network loss and maximize the load of the power supply in this paper. The model improves the line capacity constraint to the cable operating temperature constraint,so it can fully exploit the line power supply capacity by using the cable temperature margin and its temperature rise inertia process,thereby further optimizing the distribution network reconstruction decision and keeping the safety and economic operation of the distribution network to a greater extent.

References:

[1] 孙惠娟,彭春华,袁义生. 综合开关次数分析的配电网多目标动态重构[J]. 电力自动化设备,2014,34(9):41-46.
Sun Huijuan,Peng Chunhua,Yuan Yisheng. Multi-objective dynamic distribution network reconfiguration considering switching frequency[J]. Electric Power Automation Equipment,2014,34(9):41-46.
[2]毕鹏翔,刘健,刘春新,等. 配电网络重构的改进遗传算法[J]. 电力系统自动化,2002,26(2):57-61.
Bi Pengxiang,Liu Jian,Liu Chunxin,et al. A refined genetic algorithm for power distribution network reconfiguration[J]. Automation of Electric Power Systems,2002,26(2):57-61.
[3]Liu C C,Lee S J,Vu K. Loss minimization of distribution feeders:optimality and algorithms[J]. Power Delivery IEEE Transactions on,1989,4(2):1281-1289.
[4]Mam M,Leena G,Saxena N S. Distribution network reconfiguration for power loss minimization using bacteria foraging optimization algorithm[J]. International Journal of Engineering Manufacturing,2016(2):18-32.
[5]毕鹏翔,刘健,张文元. 以提高供电电压质量为目标的配网重构[J]. 电网技术,2002,26(2):41-43.
Bi Pengxiang,Liu Jian,Zhang Wenyuan. Improve voltage quality by reconfiguration of distributed network[J]. Power System Technology,2002,26(2):41-43.
[6]庞清乐,高厚磊,李天友. 基于负荷均衡的智能配电网故障恢复[J]. 电网技术,2013,37(2):342-348.
Pang Qingle,Gao Houlei,Li Tianyou. Load balancing based fault sevice restoration for smart distribution grid[J]. Power System Technology,2013,37(2):342-348.
[7]李奔,刘会家,李珺. 考虑网络结构优化的含风电配电网多目标重构[J]. 电力系统保护与控制,2015,43(17):57-62.
Li Ben,Liu Huijia,Li Jun. Multi-objective reconfiguration of distributed network with wind power generators considering network survivability[J]. Power System Protection and Control,2015,43(17):57-62.
[8]武鹏,程浩忠,刘育权,等. 考虑合环约束的配电网重构方法[J]. 电力系统自动化,2017,41(11):163-168.
Wu Peng,Cheng Haozhong,Liu Yuquan,et al. Distribution network reconfiguration method considering loop closing constraints[J]. Automation of Electric Power Systems,2017,41(11):163-168.
[9]郭琳,陈东新,莫天文,等. 基于非线性整数规划的配网负荷转供优化建模[J]. 机电工程技术,2016,45(10):95-102.
Guo Lin,Chen Dongxin,Mo Tianwen,et al. Modeling of load transfer optimization of distribution network based on nonlinear integer programming[J]. Mechanical and Electrical Engineering Technology,2016,45(10):95-102.
[10]祖国强,肖峻,左磊,等. 基于安全域的配电网重构模型[J]. 中国电机工程学报,2017,37(5):1401-1409.
Zu Guoqiang,Xiao Jun,Zuo Lei,et al. A reconfiguration model for distribution network based on security region[J]. Proceedings of the CSEE,2017,37(5):1401-1409.
[11]杨伟,吴军基,张俊芳. 配电网故障定位算法研究[J]. 南京理工大学学报,2005,29(2):90-92.
Yang Wei,Wu Junji,Zhang Junfang. Fault location arithmetic in distribution network[J]. Journal of Nanjing University of Science and Technology,2005,29(2):90-92.
[12]卫志农,周红军,顾杵,等. 保留非线性三相配电网状态估计[J]. 南京理工大学学报,2003,27(4):53-57.
Wei Zhinong,Zhou Hongjun,Gu Chu,et al. A nonlinearity-retaining state estimation for three-phase distribution system[J]. Journal of Nanjing University of Science and Technology,2003,27(4):53-57.
[13]臧天磊,钟佳辰,何正友,等. 基于启发式规则与熵权理论的配电网故障恢复[J]. 电网技术,2012,36(5):251-257.
Zang Tianlei,Zhong Jiachen,He Zhengyou,et al. Service restoration of distribution network based on heuristic rules and entropy weight[J]. Power System Technology,2012,36(5):251-257.
[14]肖轩怡,汪沨,陈春,等. 基于自适应负荷调整网络矩阵的配电网重构[J]. 电工技术学报,2018,33(10):2217-2226.
Xiao Xuanyi,Wang Feng,Chen Chun,et al. A metwork reconfiguration method based on adaptive load regulation matrix[J]. Transactions of China Electrotechnical Society,2018,33(10):2217-2226.
[15]张剑,何怡刚. 基于无向图所有生成树的网络重构遗传算法[J]. 电力自动化设备,2017,37(5):136-141.
Zhang Jian,He Yigang. Genetic algorithm based on all spanning trees of undirected graph for distribution network reconfiguration[J]. Electric Power Automation Equipment,2017,37(5):136-141.
[16]Choi D S,Kim C S,Hasegawa J. An application of genetic algorithms to the network reconfiguration in distribution for loss minimization and load balancing problem. II[C]//Proceedings of International Conference on Energy Management and Power Delivery,1995. IEEE Xplore,1995:376-381.
[17]许喆,潘金生,樊淑娴,等. 基于改进萤火虫算法的含DG配电网重构方法[J]. 电力系统保护与控制,2018,46(14):26-32.
Xu Zhe,Pan Jinsheng,Fan Shuxian,et al. A distribution network reconfiguration method with distributed generation based on improved firefly algorithm[J]. Power System Protection and Control,2018,46(14):26-32.
[18]IEC 60287-1-1-1994. Calculation of the current rating of electric cables,part 1:Current rating equations(100%load factor)and calculation of losses,section l:general[S].
[19]IEC 60287-1-2-1993. Calculation of the current rating of electric cables,part 1:Current rating equations(100%load factor)and calculation of losses,section 2:sheath eddy current loss factor for two circuits in flat formation[S].
[20]IEC 60287-2-1-1994. Calculation of the current rating of electric cables,part 2:thermal resistance,section 1:calculation of thermal resistance[S].
[21]Garrido C,Otero A,Cidras J. Theoretical model to calculate steady-state and transient ampacity and temperature in buried cables[J]. IEEE Power Engineering Review,2007,22(11):54-54.
[22]Olsen R,Holboell J,Gudmundsdóttir U S. Electrothermal coordination in cable based transmission grids[J]. IEEE Transactions on Power Systems,2013,28(4):4867-4874.
[23]王孟夏,韩学山,黄金鑫,等. 计及电缆热特性的电热耦合潮流计算[J]. 电力系统自动化,2016,40(11):73-79.
Wang Mengxia,Han Xueshan,Huang Jinxin,et al. Electrothermal power flow calculation considering thermal properties of cable[J]. Automation of Electric Power Systems,2016,40(11):73-79.
[24]刘刚,雷成华,刘毅刚. 根据电缆表面温度推算导体温度的热路简化模型暂态误差分析[J]. 电网技术,2011,35(4):212-217.
Liu Gang,Lei Chenghua,Liu Yigang. Analysis on transient error of simplified thermal circuit model for calculating conductor temperature by cable surface temperature[J]. Power System Technology,2011,35(4):212-217.
[25]IEC 60853-2002. Calculation of the cyclic and emergency current rating of cables[S].
[26]张尧,周鑫,牛海清,等. 单芯电缆热时间常数的理论计算与试验研究[J]. 高电压技术,2009,35(11):2801-2806.
Zhang Yao,Zhou Xin,Niu Haiqing,et al. Theoretical calculation and experimental research on thermal time constant of single-core cables[J]. High Voltage Engineering,2009,35(11):2801-2806.
[27]马国栋. 电线电缆载流量(第2版)[M]. 北京:中国电力出版社,2013.
[28]刘向群,程悦,李荣源. 遗传算法中有关参数值最优选择及其应用优点[J]. 微特电机,1999,27(4):30-33.
Liu Xiangqun,Cheng Yue,Li Rongyuan. Optimal determination of parameters in genetic algorithm and its application to optimal design of electromotor[J]. Small & Special Electrical Machines,1999,27(4):30-33.
[29]舒磊,王晓红,孙军,等. 动压滑动轴承遗传算法优化设计中的参数选择[J]. 合肥工业大学学报(自然科学版),2015,38(8):1028-1032.
Shu Lei,Wang Xiaohong,Sunjun,et al. Parameter choice in optimization design of hydrodynamic journal bearing based on genetic algorithms[J]. Journal of Hefei University of Technology(Natural Science),2015,38(8):1028-1032.

Memo

Memo:
-
Last Update: 2019-11-30