潘明明;丁坚勇;周凯;田世明;

• 1:中国电力科学研究院
• 2:武汉大学电气工程学院

摘要(Abstract)：

根据超高层建筑供电特点和管理需求,提出了超高层建筑供用电可靠性指标体系和超高层建筑供用电可靠性计算方法——分层搜索算法。该指标体系和搜索算法不仅能对传统用户供电可靠性进行评估,还能对用户内部用电可靠性进行分析,包括用户内部整体可靠性和用户负荷点可靠性,可以对超高层建筑内部实现精益化管理提供技术支持。以一栋由两路电源供电的超高层建筑为例,采用文中提出的指标体系和算法对该建筑进行评价,结果显示,2路并列供电的电源,在同时供电和一路运行、一路检修时,用电可靠性相差不大,而两者的停电损失期望值可相差1.5倍多,该结果能为用户内部检修策略的制定提供有效指导。算例证明了文中提出的指标体系的实用性和分层搜索算法的正确性。

关键词(KeyWords)： 超高层建筑;搜索算法;拓扑图结构;供用电可靠性

Abstract:

Keywords:

基金项目(Foundation): 国家电网公司科技项目(521820140017)

作者(Author): 潘明明;丁坚勇;周凯;田世明;

Email:

DOI: 10.13335/j.1000-3673.pst.2015.06.026

参考文献(References)：

• [1]中国建筑学会建筑结构分会高层建筑结构委员会.我国大陆2009年底已建成180 m以上高层建筑统计[J].土木工程学报,2010,43(5):149-153.Council on Tall Buildings,Structural Branch,Architectural Society of China.Table of the tall buildings above 180 meters in China Mainland[J].China Civil Engineering Journal,2010,43(5):149-153(in Chinese).
• [2]杨成德,黄丽.超高层与特大型建筑工程的供配电设计[J].建筑电气,2011,30(4):36-43.Yang Chengde,Huang Li.Design of power supply and distribution system in high-rise and oversize buildings[J].Building Electricity,2011,30(4):36-43(in Chinese).
• [3]Umberto Grasselli,Giuseppe Parise.Designing criteria for building power systems supplying distributed nonlinear loads[C]//Industrial and Commercial Power Systems Technical Conference,1995.San Antonio,TX,USA:IEEE,1995:35-40.
• [4]胡小正,王鹏.2009年全国城市用户供电可靠性现状分析[J].供用电,2010,27(5):15-18.Hu Xiaozheng,Wang Peng.Current situation analysis of power supply reliability to nationwide urban in 2009[J].Distribution&Utilization,2010,27(5):15-18(in Chinese).
• [5]Gomaa Hamoud,Ibrahim El-Nahas.Assessment of customer supply reliability in performance-based contracts[J].IEEE Transactions on Power Systems,2003,18(4):1587-1593.
• [6]Billinton R,Wangdee W.Delivery point reliability indices of a bulk Electric system using sequential Monte Carlo simulation[J].IEEE Transactions on Power Delivery,2006,21(1):345-352.
• [7]丁明,张静,李生虎.基于序贯蒙特卡罗仿真的配电网可靠性评估模型[J].电网技术,2004,28(3):38-42.Ding Ming,Zhang Jing,Li Shenghu.A sequential Monte-Carlo simulation based reliability evaluation model for distribution network[J].Power System Technology,2004,28(3):38-42(in Chinese).
• [8]赵华,王主丁,谢开贵,等.中压配电网可靠性评估方法的比较研究[J].电网技术,2013,37(11):3295-3302.Zhao Hua,Wang Zhuding,Xie Kaigui,et al.Comparative study on reliability assessment methods for medium voltage distribution network[J].Power System Technology,2013,37(11):3295-3302(in Chinese).
• [9]Xie Kaigui,Zhou Jiaqi,Billinton R.Reliability evaluation algorithm for complex medium voltage electrical distribution networks based on the shortest path[J].IEE Proceedings of Generation,Transmission and Distribution,2003,150(6):686-690.
• [10]邵黎,谢开贵,王进,等.基于潮流估计和分块负荷削减的配电网可靠性评估算法[J].电网技术,2008,32(24):33-38.Shao Li,Xie Kaigui,Wang Jin,et al.Reliability evaluation algorithm of distribution network based on power flow estimation and section load shedding[J].Power System Technology,2008,32(24):33-38(in Chinese).
• [11]管霖,冯垚,刘莎,等.大规模配电网可靠性指标的近似估测算法[J].中国电机工程学报,2006,26(10):92-98.Guan Lin,Feng Yao,Liu Sha,et al.Approximate evaluation algorithm for reliability indices of cosmically distribution system[J].Proceedings of the CSEE,2006,26(10):92-98(in Chinese).
• [12]宋云亭,吴俊玲,彭东,等.基于BP神经网络的城网供电可靠性预测方法[J].电网技术,2008,32(20):56-59.Song Yunting,Wu Junling,Peng Dong,et al.A BP neural network based method to predict power supply reliability of urban power network[J].Power System Technology,2008,32(20):56-59(in Chinese).
• [13]李蕊,李悦,徐浩,等.基于层次分析法和专家经验的重要电力用户典型供电模式评估[J].电网技术,2014,38(9):2336-2341.Li Rui,Li Yue,Xu Hao,et al.Assessment on typical power supply mode for important power consumers based on analytic hierarchy process and expert experience[J].Power System Technology,2014,38(9):2336-2341(in Chinese).
• [14]张焰.电网规划中的模糊可靠性评估方法[J].中国电机工程学报,2000,20(11):77-80.Zhang Yan.The evaluation method of fuzzy reliability in electric power network planning[J].Proceedings of the CSEE,2000,20(11):77-80(in Chinese).
• [15]郭永基.电力系统可靠性分析[M].北京,清华大学出版社.2003:172-180.
• [16]李蕊,李锐,苏剑,等.配电网重要电力用户停电损失及应急策略[J].电网技术,2011,35(10):170-176.Li Rui,Li Yue,Su Jian,et al.Power Supply interruption cost of important power consumers in distribution network and its emergency management[J].Power System Technology,2011,35(10):170-176(in Chinese).