输电线路在线监测的层次化通信网络规划模型
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摘要
为解决输电线路在线监测系统中无线通信网络末端数据负担大、延时高的问题,满足网络的经济性和实时性要求,构建了基于无线传感器网络及光纤网络的在线监测层次化通信网络,并提出了网络多目标规划模型及优化决策方法。通过优化部署光纤分离引下点,以数据传输路径连通性和链路通信带宽为约束条件,建立了以通信网络建设成本和数据传输延时为目标的多目标最优化模型。采用多目标粒子群算法求得模型的最优解集,依据模糊熵权Vague集多属性决策方法,筛选出最满意的通信网络规划方案。基于模糊熵权的Vague集多属性决策方法,从最优解集中选取最满意的规划方案。最后,通过算例仿真验证了所提模型和算法的有效性,并分析了主观权重、数据速率及通信网络规模对规划布置方案决策的影响。
In order to solve the problems of bandwidth bottleneck and high latency in chain-type wireless communication network of transmission line online monitoring, a hybrid hierarchical communication network planning model and the corresponding multiobjective decision-making method are proposed. A network planning model of fiber-optic separation tower placement is formulated with objects of placement costs and end-to-end latency optimization, while satisfying the constraints of graph-based path connectivity and bandwidth. Particle swarm optimization algorithm is used to solve the model, so as to obtain the Pareto optimal solution set. The most satisfactory network planning scheme is selected by the multi-attribute decision-making method based on fuzzy entropy weight of vague set. Finally, the effectiveness of the proposed model and algorithm is validated by results of the case study. Besides, the impacts of the subjective weight, the data rate and network scale on the decision-making are analyzed.
In order to solve the problems of bandwidth bottleneck and high latency in chain-type wireless communication network of transmission line online monitoring, a hybrid hierarchical communication network planning model and the corresponding multiobjective decision-making method are proposed. A network planning model of fiber-optic separation tower placement is formulated with objects of placement costs and end-to-end latency optimization, while satisfying the constraints of graph-based path connectivity and bandwidth. Particle swarm optimization algorithm is used to solve the model, so as to obtain the Pareto optimal solution set. The most satisfactory network planning scheme is selected by the multi-attribute decision-making method based on fuzzy entropy weight of vague set. Finally, the effectiveness of the proposed model and algorithm is validated by results of the case study. Besides, the impacts of the subjective weight, the data rate and network scale on the decision-making are analyzed.
引文
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[17]田文奇,和敬函,姜久春,等.基于自适应变异粒子群算法的电动汽车换电池站充电调度多目标优化[J].电网技术,2012,36(11):25-29.TIAN Wenqi,HE Jinghan,JIANG Jiuchun,et al.Multi-objective optimization of charging dispatching for electric vehicle battery swapping station based on adaptive mutation particle swarm optimization[J].Power System Technology,2012,36(11):25-29.
[18]陈亮,顾雪平,贾京华.考虑后续恢复影响的扩展黑启动方案多目标优化与决策[J].电力自动化设备,2014,34(2):137-143.CHEN Liang,GU Xueping,JIA Jinghua.Multi-objective optimization and decision making of extended black-start scheme considering subsequent restoration influence[J].Electric Power Automation Equipment,2014,34(2):137-143.
[19]顾雪平,王大江,梁海平,等.电力系统扩展黑启动方案动态综合评估[J].电工技术学报,2015,30(3):44-52.GU Xueping,WANG Dajiang,LIANG Haiping,et al.Dynamic comprehensive assessment of power system extended black-start Plans[J].Transactions of China Electrotechnical Society,2015,30(3):44-52.
[20]徐玖平,吴巍.多属性决策的理论与方法[M].北京:清华大学出版社,2006:1-30.
[21]IEEE Standard for Information technology-part 15.4:wireless medium access control(MAC)and physical layer(PHY)specifications for low rate wireless personal area networks(LRWPANS):IEEE Std 802.15.4-2006[S].2006.
[2]赵建青,姚瑶,邱玩辉,等.基于输电线路在线巡视系统的智能预警系统研究[J].电力系统保护与控制,2013,41(23):49-54.ZHAO Jianqing,YAO Yao,QIU Yuanhui,et al.Study on intelligent early warning system based on transmission line on-line inspection system[J].Power System Protection and Control,2013,41(23):49-54.
[3]韩富春,周林伟,贾雷亮,等.基于灰色关联度的架空线路运行状态的评价[J].高电压技术,2009,35(2):399-402.HAN Fuchun,ZHOU Linwei,JIA Leiliang,et al.Evaluation of overhead transmission lines operation based on grey relation correlation[J].High Voltage Engineering,2009,35(2):399-402.
[4]盛戈皞,江秀臣,曾奕,等.架空输电线路运行和故障综合监测评估系统[J].高电压技术,2007,33(8):183-186.SHENG Gehao,JIANG Xiuchen,ZENG Yi,et al.Integrated monitoring system for evaluating overhead transmission lines operation and fault state[J].High Voltage Engineering,2007,33(8):183-186.
[5]AUSEN J,FITZGERALD B F,GUST E A,et al.Dynamic thermal rating system relieves transmission con-straint[C]//IEEE 11th International Conference on Transmission&Distribution Construction,Operation and Live-Line Maintenance,Albuquerque,2006.
[6]朱益华,罗毅,段涛,等.基于输电线路实时评估模型的电力系统静态安全在线风险评估[J].电力自动化设备,2014,34(7):150-156.ZHU Yihua,LUO Yi,DUAN Tao,et al.Online risk assessment based on real-time evaluation model of transmission line for static security of power system[J].Electric Power Automation Equipment,2014,34(7):150-156.
[7]赵增华,石高涛,韩双立,等.基于无线传感网络的高压输电线路在线监测系统[J].电力系统自动化,2009,33(19):80-84.ZHAO Zenghua,SHI Gaotao,HAN Shuangli,et al.Online monitoring system for high-voltage transmission line based on wireless sensor networks[J].Automation of Electric Power Systems,2009,33(19):80-84.
[8]李丽芬,朱永利,于永华.基于长链树状无线传感器网络实现输电线路在线监测数据传输[J].电网技术,2011,35(6):199-203.LI Lifen,ZHU Yongli,YU Yonghua.Transmission of power line online monitoring data based on long-chain tree-like wireless sensor network[J].Power System Technology,2011,35(6):199-203.
[9]FATEH B,GOVINDARASU M,AJJARAPU V.Wireless network design for transmission line monitoring in smart grid[J].IEEETransactions on Smart Grid,2013,4(2):1076-1086.
[10]IEEE Standard for SCADA and Automation Systems:IEEE Std C37.1-2007[S].2007.
[11]王阳光,尹项根,游大海.无线传感器网络应用于智能电网的探讨[J].电网技术,2010,34(5):7-11.WANG Yangguang,YIN Xianggen,YOU Dahai.Application of wireless sensor networks in smart grid[J].Power System Technology,2010,34(5):7-11.
[12]CHEN X,DU Z,YIN X G,et al.A design of WSN and EPONapplied in online monitoring for transmission line[J].Advance Materials Research,2014(6):125-132.
[13]DENG X,YANG Y Y.Online adaptive compression in delay sensitive wireless sensor networks[J].IEEE Transactions on Computers,2012,61(10):1429-1442.
[14]ANASTASI G,CONTI M,FRANCESCO M D.A comprehensive analysis of the MAC unreliability problem in IEEE 802.15.4 wireless sensor networks[J].IEEE Transactions on Industrial Informatics,2011,7(1):52-65.
[15]刘文颖,谢昶,文晶,等.基于小生镜多目标粒子群算法的输电网检修计划优化[J].中国电机工程学报,2013,32(4):141-148.LIU Wenying,XIE Chang,WEN Jing,et al.Optimization of transmission network maintenance scheduling based on niche multiobjective particle swarm algorithm[J].Proceedings of the CSEE,2013,32(4):141-148.
[16]吴小刚,刘宗歧,田立亭,等.基于改进多目标粒子群算法的配电网储能选址定容[J].电网技术,2014,38(12):3405-3411.WU Xiaogang,LIU Zongqi,TIAN Liting,et al.Energy storage device locating and sizing for distribution network based on improved multi-objective particle swarm optimizer[J].Power System Technology,2014,38(12):3405-3411.
[17]田文奇,和敬函,姜久春,等.基于自适应变异粒子群算法的电动汽车换电池站充电调度多目标优化[J].电网技术,2012,36(11):25-29.TIAN Wenqi,HE Jinghan,JIANG Jiuchun,et al.Multi-objective optimization of charging dispatching for electric vehicle battery swapping station based on adaptive mutation particle swarm optimization[J].Power System Technology,2012,36(11):25-29.
[18]陈亮,顾雪平,贾京华.考虑后续恢复影响的扩展黑启动方案多目标优化与决策[J].电力自动化设备,2014,34(2):137-143.CHEN Liang,GU Xueping,JIA Jinghua.Multi-objective optimization and decision making of extended black-start scheme considering subsequent restoration influence[J].Electric Power Automation Equipment,2014,34(2):137-143.
[19]顾雪平,王大江,梁海平,等.电力系统扩展黑启动方案动态综合评估[J].电工技术学报,2015,30(3):44-52.GU Xueping,WANG Dajiang,LIANG Haiping,et al.Dynamic comprehensive assessment of power system extended black-start Plans[J].Transactions of China Electrotechnical Society,2015,30(3):44-52.
[20]徐玖平,吴巍.多属性决策的理论与方法[M].北京:清华大学出版社,2006:1-30.
[21]IEEE Standard for Information technology-part 15.4:wireless medium access control(MAC)and physical layer(PHY)specifications for low rate wireless personal area networks(LRWPANS):IEEE Std 802.15.4-2006[S].2006.