基于负荷预测的配电网络重构
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
配电网络重构是提高电网运行的经济性、供电质量和安全性的重要手段。通过配电网络重构一方面可降低网损,改善电压质量;另一方面可以平衡系统负荷,使负荷在各个馈线和变压器之间合理分配,可以避免线路和变压器过载,改善系统的运行条件,提高系统运行的安全性。
     配电网络重构主要有两个研究方向,一是配电网络实时重构,即根据电力负荷实时改变配电网络结构。如果配电网络实时重构依据的是实时上传的负荷数据,由于数据的获取与传输、程序的运行及远动设备的动作都需要花费时间,这就使得程序运行所获得配电网络重构的结果是针对获取数据那一时刻,而并非是针对当前的运行状态。二是按时间段进行配电网络重构,即按小时、日、周、月等进行配电网络重构。如果按时间段进行的配电网络重构依据的是已经上传的负荷数据,则配电网络重构的结果是针对历史的某一时间段,而并非是针对未来的某一时间段。因此,基于已上传的负荷数据进行配电网络重构,将影响配电网络重构的现实意义。
     近年来负荷预测技术已趋于成熟,预测的精度和速度都有很大的提高。本文尝试着先对电力负荷进行预测,然后根据负荷预测数据进行配电网络重构,这样便可以预测未来某一时刻或某一时间段配电网络的最优运行结构。由于是对配电网络最优运行结构预判,可以降低对计算速度的要求,重构的结果可以作为计划部门和调度部门制定运行方式和调度的参考。电力负荷预测采用了遗传程序设计算法,并在负荷预测前对样本数据进行预处理,在预测的过程中对工作日和周末进行分类预测。配电网络重构采用了单亲遗传算法,并针对配电网络重构的特点对单亲遗传算法进行了改进。
     本文针对配电网络的特点,提出适于程序设计解决环网问题、孤岛问题的实用的方法,给出实际程序设计中所遇到的负荷转移问题的实用解决方案。并给出基于GIS数据库的配电网络的拓扑搜索方法。
     本文采用SQL Server 2000作为数据库管理系统,以Visual Studio.NET作为开发平台,采用可视化高级编程语言VC#.NET开发了基于负荷预测的配电网络重构系统。配电网络重构的结果可以通过GIS、主接线图进行图形显示。
Distribution network reconfiguration is an important method that can improve the economy of power system running, power supply quality and power supply safety. It not only can reduce the network loss, improve voltage quality but also can balance load of power system making the distribution of load among the feeders and transformers more reasonable, void lines and transformers overload. It can improve the operating condition and operating safety.
     There are two main research directions of distribution network reconfiguration. One is distribution network real time reconfiguration that changes the configuration of distribution network according to the power load all the time. If the reconfiguration is according to power load data uploaded, the result of the reconfiguration of distribution network is according to historical conditions of the distribution network not the present running conditions because the obtaining and transmission of data, program running and action of remote device need time. So the result of distribution network reconfiguration got by the program is according to the running conditions of the time that the data got. The other is distribution network reconfiguration of time segment that reconfigures the distribution network hourly, daily or monthly etc. And if it is according the power load uploaded, the result of distribution network reconfiguration is for the historical time segment. All in a word, the distribution network reconfiguration based on power load uploaded will affect the realistic significance of reconfiguration.
     In recent years, load forecasting technology has become mature, the forecast accuracy and speed are greatly improved. This article attempts to forecast the power load first, then reconfigure the distribution network based on the load forecasting data, so that we can predict the optimal operation structure of distribution network at a certain time or a time segment. The optimal operation structure of distribution network can be pre-judged. So the making of operation mode and the dispatching can refer to the result of the reconfiguration. The requirements of computing speed can also be lowered. The genetic programming algorithm was used in power load forecasting, and the sample data was pretreated before forecasting in this paper. The power load of working days and weekends was forecasted separately. The distribution network reconfiguration adopted partheno-genetic algorithm (PGA) and it was improved according to the characteristics of distribution network reconfiguration.
     The useful methods that resolve circle network and isolated island was presented problem. And it is applicable for program design. The solution for load transfer problem was given which met during the program design. The approach for the search of distribution network based on GIS database was also given.
     SQL Server 2000 was adopted as database management system. Visual Studio.NET was taken as development platform. The distribution network reconfiguration based on load forecasting was developed. The programming language adopted VC#.NET which is advanced and object-oriented. The result of distribution network reconfiguration can be displayed by the GIS or by main wiring graph.
引文
[1]Sarma N D R, Prakasa Rao K S. A New 0-1 Integer Programming Method of Feeder Reconfiguration for Loss Minimization in Distribution Systems. Electric Power System Research, 1995(33):125-131.
    [2]张大海,江世芳,赵建国.配电网重构研究的现状与展望[J].电力自动化设备,2002,22(2): 75-82.
    [3]刘莉,陈学允,郭志忠.配电网络重构的现状和发展[J].继电器,2002,30(6):21-35.
    [4]A.Merlin,H.Back.Search for a Minimal-Loss Operating Spanning Tree Configuration for an Urban Power Distribution System.Proc.of PSCC,Cambridge 1975,Paper 1,2/6.
    [5]Fan Ji-Yuan,Zhang Lan,McDonald J.D.Distribution Network Reconfiguration:Single Loop Optimization.IEEE Transactions on Power Systems,1996,11 (3):1643-1647.
    [6]Sarma N.D.R.,Prakasa Rao K.S.A new 0-1 Integer Programming Method of Feeder Reconfiguration for Loss Minimization in Distribution Systems.Electric Power System Research,1995 (33):125-131.
    [7]Abur Ali.Modified linear programming method for distribution system reconfiguration. International Journal of Electrical Power and Energy System,1996,18(7): 469-474.
    [8]Wagner T.P.,Chikhani A.Y.,Hackam R.,Feeder reconfiguration for loss reduction: An application of distribution automation.IEEE Transactions on Power Delivery,1991,6(4):1922-1933.
    [9]Aoki K.,Ichimor T.I.,Kanezashi M.Normal State Optimal Load Allocation in Distribution Systems.IEEE Transactions on Power Delivery,1987,2 (1):147-155.
    [10]Shirmohammadi D,Wayne Hong H.Reconfiguration of Electric Distribution Networks for Resistive Line Losses Reduction.IEEE Transactions on Power Delivery,1989,4 (2):1492-1498.
    [11]Vesna Borozan,Dragoslav Rajicic,Risto Ackovski.Minimum Loss Reconfiguration of Unbalanced Distribution Networks.IEEE Traps.on Power Delivery,1997,12(1).
    [12]Goswami S.K.,Basu S.K.A New Algorithm for the Reconfiguration of Distribution Feeders for Loss Minimization,IEEE Transactions on Power Delivery,1992,7(3): 1484-1491.
    [13]邓佑满,张伯明,相年德.配电网络重构的改进最优流模式算法[J].电网技术,1995,19 (7):47-50.
    [14]Vesna Borozan,Dragoslav Rajicic,Risto Ackovski.Improved Method for Loss Minimization in Distribution Networks.IEEE Trans.on Power Systems,1995,10(3): 1420-1425.
    [15]吴本悦,赵登福,刘云,等.一种新的配电网络重构最优流模式算法[J].西安交通大学学报,1999,33 (4):21-24.
    [16]Civanlar S.,Grainger J.J.,Yin H.,etal.Distribution Feeder Reconfiguration for Loss Reduction.IEEE Transaction on Power Delivery,1988,3(3):1217-1223.
    [17]Baran M.E.,Wu F.F..Network Reconfiguration in Distribution Systems for Loss Reduction and Load Balancing.IEEE Transactions on Power Delivery,1989,4(2):1401-1407.
    [18]Kashem M. A.,Ganapathy V.,Jasmon G.B.Network Reconfiguration for Load Balancing in Distribution Networks.IEE Proceedings-Generation,Transmission& Distribution,1999,146 (6):563-567.
    [19]Lin Whei-Min,Chin Hong-Chan.A New Approach for Distribution Feeder Reconfiguration for Loss Reduction and Service Restoration.IEEE Transaction on Power Delivery,1998,13(3):870-875.
    [20]Peponis G..,Papadopoulos M..Reconfiguration of Radial Distribution Networks Application of Heuristic Methods on Large-Scale Networks.IEEE Proceedings-Generation,Transmission &Distribution,1995,142(6):631-638.
    [21]胡敏,佑陈元.配电系统最优网络重构的模拟退火算法[J].电力系统自动化,1994,18 (2):24-28.
    [22]Jin-Cheng Wang, Hsiao-Dong Chiang, Gary R.Daring. An Efficient Algorithm for Real-time Network Reconfiguration in Large Scale Unbalanced Distribution Systems [J]. IEEE Trans on PWRS,1996, 11(1): 511-517.
    [23]Hsiao-Dong Chiang, Rene Jean-Jumeau. Optimal Network Reconfiguration in Distribution Systems I: A New Formulation and A Solution Methodology [J].IEEE Trans on PWRD, 1990,5(4): 1902-1909.
    [24]韩祯祥,文福栓.人工神经元网络在电力系统中的应用的新进展(一)[J].电力系统自动化,1993,17(1)V:53-59.
    [25]Kim H.,Ko Y.,Jung K.H..Artificial Neural-Network Based Feeder Reconfiguration for Loss Reduction in Distribution Systems.IEEE Transaction on Power Delivery,1993,8 (3):1356-1366.
    [26]李茂军,童调生.单亲遗传算法在多机多阶段Flow-shop问题中的应用[J].湖南大学学报(自然科学版),2001,28(5):56-60.
    [27]李茂军.单亲遗传算法及其在火电厂机组优化组合中的应用[J].电力系统及其自动化,2001,13(4):16-18,23.
    [28]邢国雷,张陵,刘志方.基于单亲遗传算法的钢筋混凝土梁优化设计[J].建筑技术开发,2004,31(1):21-22,41.
    [29]Koza J R. Introduction to genetic programming[M]. Cambridge:MIT Press,1994.
    [30]张志美.基于改进的遗传程序设计实现组合电路的设计[D].长春:东北师范大学,2007.
    [31]Kantschik W,Banzhaf W.Linear-graph GP-A new GP structure[R].Germany Dortmund,Dortmund of university Science,Computer of Dept,2002.
    [32]Gathercole C,Ross P.Dynamic training subset selection for supervised learning in genetic pronramming[J].In Parallel Problem Solving from Nature III,Springer Verlag,1994,312-321.
    [33]Celia C.Bojarczuk,Heitor S.Lopes, Alex A.Freitas and Edson L.Michalkiewicz.A constrained-syntax genetic programming system for discovering classificationrules:application to medical data sets[J].Artificial Intelligence in Medicine,2004,30 (1):27-48.
    [34]Mark P.Hinchliffe,Mark J.Willis. Dynamic systems modelling using genetic programming[J].Computers & Chemical Engineering,2003,27(12-15):1841-1854.
    [35]陈志卫,王万良,万跃华,等.遗传规划研究的现状及发展[J].浙江工业大学学报,2003, 31(2):153-159.
    [36]李康顺,李元香,汤铭端,等.遗传程序设计在统计建模中的应用[J].系统仿真学报.2005,1597-1600.
    [37]王文川,程春田.基于遗传程序设计的中长期径流预报模型研究与应用[J].水电能源科学,2006,24(6):29-32.
    [38]袁晓辉,张勇传,袁艳斌.基于遗传规划的径流预测新方法[J].水力发电,2006,32(8): 11-13.
    [39]Sivapragasam C,Vincent P,Vasudevan G.Genetic Programming Model for Forecast of Short and Noisy Data[J].Hydrological Processes,2007,21(2):266-272.
    [40]周爱民,曹宏庆,康立山,等.用遗传程序设计实现复杂函数的自动建模[J].系统仿真学报,2003,15(6):797-799.
    [41]鞠平,李靖霞,陆晓涛.电力负荷预测的遗传规划方法[J].电力系统自动化,2000,(11), 35-38.
    [42]徐光虎.运用遗传规划法进行电力系统中长期负荷预测[J].继电器,32(12),2004,21- 24.
    [43]王文川,程春田.基于粗糙集理论和遗传程序设计的短期负荷预测模型研究[J].水电能源科学,2007,25(6):125-129.
    [44]张胜寒,范永哲,陈颖敏.基于遗传规划方法的汽轮机转子钢热脆化性能预测[J].机械工程学报,2007,43(10):211-214.
    [45]范新桥,霍利民,黄丽华,等.基于遗传程序设计方法的短期电力负荷预测[J].华北电力大学学报,2007,34(5):48-52.
    [46]王小平,曹立明.遗传算法[M].西安:西安交通大学出版社,2002.
    [47]李敏强,寇纪淞,林丹,等.遗传算法的基本理论与应用[M].北京:科学出版社,2002.
    [48]云庆夏,黄光球,王占权.遗传算法和遗传规划[M].北京:冶金工业出版社,1997.
    [49]周青山,向铁元,罗亚,等.基于改进遗传算法的配电网络重构[J].电力科学与工程,2004,1:20-25.
    [50]李晓明,黄彦浩,尹项根.基于改良策略的配电网重构遗传算法[J].中国电机工程学报,2004,24(2):495-498.
    [51]刘莉,陈学允.基于模糊遗传算法的配电网络重构[J].中国电机工程学报,2000,20(2): 66-69.
    [52]Nara K.,Shiose A.,Kitagawa M..Implementation of Genetic Algorithm for Distribution Systems Loss Minimum Reconfiguration.IEEE Transaction on Power Systems,1992,7 (3):1044-1051.
    [53]余贻鑫,段刚.基于最短路算法和遗传算法的配电网络重构[J].中国电机工程学报,2000,20(9):44-49.
    [54]Lin W.M.,Cheng F.S.,Tsay M.T.,Disrtribution feeder reconfiguration with refined genetic algorithm.IEE Proceedings:Generation,Transmission and Distribution,2000, 147(6):349-354.
    [55]Choi Dai-Seub,Kim Chang-Suk,Hasegawa Jun.Application of genetic algorithms to the network reconfiguration in distribution for loss minimization and load balancing problem(part 2).Proceedings of the International Conference on Energy Management and Power Delivery,EMPD,1995,1:376-381.
    [56]李茂军.单亲遗传算法理论及应用[D].长沙:湖南大学博士学位论文,2002.
    [57]李茂军,樊韶胜,童调生.单亲遗传算法在模式聚类中的应用[J].模式识别与人工智能,1999,12(1):32-37.
    [58]肖鹏,李茂军,张季平,等.单亲遗传算法及其在物流配送系统中的应用[J].系统工程,2000,18(1):59,64-66.
    [59]肖鹏,李茂军,张季平,等.车辆路径问题的单亲遗传算法[J].计算技术与自动化,2000,19(1):26-30.
    [60]李茂军,童调生.单亲遗传算法在多机多阶段Flow-shop问题中的应用[J].湖南大学学报(自然科学版),2001,28(5):56-60.
    [61]李茂军,童调生.单亲遗传算法在多机多阶段Flow-shop问题中的应用[J].湖南大学学报(自然科学版),2001,28(5):56-60.
    [62]邢国雷,张陵,刘志方.基于单亲遗传算法的钢筋混凝土梁优化设计[J].建筑技术开发,2004,31(1):21-22,41.
    [63]李茂军.单亲遗传算法及其在火电厂机组优化组合中的应用[J].电力系统及其自动化,2001,13(4):16-18,23.
    [64]胡纯德,祝延军,高随祥.一种求解旅行商问题的新型单亲遗传算法[J].计算机工程与应用,2004,35:37-40.
    [65]邢国雷,张陵.改进单亲遗传算法及在结构优化设计中的应用[J].计算机工程与应用,2004,24:215-217.
    [66]冯凯,李元德,侯云鹤,等.改进单亲遗传算法在电源规划中的应用[J].电网技术,2004,28(3):11-15.
    [67]熊炜,施怀瑾.配电网络潮流计算实用算法[J].贵州工业大学学报,1998,27(4):67-70.
    [68]刘伟,李恒,孙福杰,等.基于GIS和区间FTU的配电网网损计算方法[J].电网技术,2003,27(4):68-71.
    [69]刘伟,李恒,张江,等.基于馈线区间和GIS的配电网网损计算拓扑分析方法[J].继电器,2002,30(8):10-13.
    [70]杨学伟.可视化线损管理系统的研发[D].华北电力大学,2003.
    [71]方富淇.配电网网损计算[M].北京:中国电力出版社,2000.
    [72]丁锋.配电网高级应用软件的选择与分析[J].江苏电机工程,2001,20(3):10-12.
    [73]冯畅,万秋兰,陈歆技.集合划分方法在电力系统图模转换分析中的应用[J].电力系统自动化,2002,26(5):54-59.
    [74]张涛,朱永利,于哲,等.面向对象的电力系统图形编辑器的数据结构设计.《2002年全国电力系统自动化学术研讨会》.
    [75]赖晓平,周鸿兴.电力系统网络拓扑分析的有色Petri网模型[J].电网技术, 2000,24(12):5-10.
    [76]苏义荣.配电网络拓扑分析方法的研究[D].浙江大学,2002.
    [77]张瑞鹏,冷俊.电网着色法拓扑分析及应用《.2002年全国电力系统自动化学术研讨会》.
    [78]王湘中,黎晓兰.基于关联矩阵的电网拓扑辨识[J].电网技术,2001,25(2):10-12,14.
    [79]郑勇.给予GIS的配电网分析和管理技术[D].四川大学,2004.
    [80]李志强.基于地理信息系统的配电网拓扑分析[D],中国电力科学院,2004.
    [81]叶锋,何桦,顾全等.EMS中负荷预测不良数据的辨识与修正[J].电力系统自动化,2006.30(15):85-88.
    [82]Peter J Brockerwell,Richard A Davis.Time Series:Theory and Methods[M].2nd Ed. Berlin:Spring,1986.
    [83]李茂军,朱陶业,童调生.单亲遗传算法与传统遗传算法的比较研究[J].系统工程, 2001,19(01):61-65.
    [84]李茂军,罗安.单亲遗传算法的机理分析[J].长沙理工大学学报,2004,01(01):76-79.
    [85]李茂军,童调生.单亲遗传算法编码方式的研究[J].长沙电力学院学报(自然科学版),2000,15(03):11-13.
    [86]李茂军,罗日成,童调生.单亲遗传算法的遗传算子分析[J].系统工程与电子技术, 2001,23(08) :84-87.
    [87]刘健,毕鹏翔,董海鹏.复杂配电网简化分析与优化[M].北京:中国电力出版社,2002.
    [88]张威,仇爽.C#语言基础教程[M].北京:人民邮电出版社,2001.
    [89](美)Joseph Mayo著.王启丁,高锦文,刘明译.C#技术内幕[M].北京:机械工业出版社, 2003.
    [90](美)Jason Price著.邱仲潘译.C#数据库编程从入门到精通[M].北京:电子工业出版社,2003.
    [91]余安萍,俞俊平,孙华志.C#程序设计教程[M].北京:电子工业出版社,2002.
    [92]郭胜,秦岸,马丽.C#.NET程序设计教程[M].北京:清华大学出版社,2002.
    [93](美)微软公司(Microsoft Corporation).Microsoft SQL Server 2000安装与使用指南[M].科学出版社,2001.
    [94](美)微软公司(Microsoft Corporation).Microsoft SQL Server 2000 Transact-SQL和技术参考手册[M].科学出版社,2001.
    [95]廖望,何俊,谢春旺,等.SQL Server 2000案例教程[M].北京:冶金工业出版社,2004.
    [96]袁连海,董文,张志亮.SQL Server 2000应用开发实例教程[M].北京:机械工业出版社,2003.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700