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电网技术  2014 

基于元胞历史负荷数据的负荷密度指标法

DOI: 10.13335/j.1000-3673.pst.2014.04.029, PP. 1014-1019

Keywords: 空间负荷预测,负荷密度指标,地理信息系统,协调系数,元胞

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Abstract:

已有负荷密度指标的求取方法往往忽视了对实测历史负荷数据的挖掘,或是忽略了同类负荷的非均匀分布问题,为此提出了一种基于元胞历史负荷数据的负荷密度指标法。该方法通过I类元胞的负荷密度确定分类负荷密度协调系数,根据I类元胞的历史负荷与其供电面积、用地信息、分类负荷密度之间的约束关系,建立元胞负荷与分类负荷密度的关系方程,并采用最小二乘法求取分类负荷密度指标,利用已求得的历年分类负荷密度指标预测其在目标年的大小,求出每个II类元胞的负荷值,从而实现空间负荷预测。工程实例验证了该方法的实用性和有效性。

References

[1]  康重庆,夏青,刘梅.电力系统负荷预测[M].北京:中国电力出版社,2007:94-97.
[2]  杨丽徙,王金凤,陈根永,等.基于元胞自动机理论的电力负荷空间分布预测[J].中国电机工程学报,2007,27(4):15-20.Yang Lixi,Wang Jinfeng,Chen Genyong,et al.Load spatial distribution forecasting model on cellular automata theory[J].Proceedings of the CSEE,2007,27(4):15-20(in Chinese).
[3]  乐欢,王主丁,肖栋柱,等.基于空区推论的空间负荷预测分类分区实用法[J].电力系统自动化,2009,33(7):81-85.Yue Huan,Wang Zhuding,Xiao Dongzhu,et al.Vacant area inference based classification and subarea practical method for spatial load forecasting[J].Automation of Electric Power Systems,2009,33(7):81-85(in Chinese).
[4]  朱凤娟,王主丁,寿挺,等.考虑规划小区发展时序的空间负荷预测分类分区法[J].华东电力,2011,39(3):423-427.Zhu Fengjuan,Wang Zhuding,Shou Ting,et al.Classification and subarea method for spatial load forecasting based on planning area temporal order[J].East China Electric Power,2011,39(3):423-427(in Chinese).
[5]  朱凤娟,王主丁,陆俭,等.考虑小区发展不均衡的空间负荷预测分类分区法[J].电力系统自动化,2012,36(12):41-48.Zhu Fengjuan,Wang Zhuding,Lu Jian,et al.Disequilibrium development areas based classification and subarea method for spatial load forecasting[J].Automation of Electric Power Systems,2012,36(12):41-48(in Chinese).
[6]  符杨,曹家麟,谢楠,等.基于模糊综合评判的负荷密度指标选取新方法[J].电网技术,2007,31(18):19-22.Fu Yang,Cao Jialin,Xie Nan,et al.A novel fuzzy comprehensive evaluation based method to select load density and index[J].Power System Technology,2007,31(18):19-22(in Chinese).
[7]  符杨,朱兰,曹家麟.基于模糊贴近度理论的负荷密度指标求取新方法[J].电力系统自动化,2007,31(19):46-50.Fu Yang,Zhu Lan,Cao Jialin.A new method to obtain load density according to the theory of fuzzy approach degree[J].Automation of Electric Power Systems,2007,31(19):46-50(in Chinese).
[8]  周湶,孙威,任海军,等.基于最小二乘支持向量机和负荷密度指标法的配电网空间负荷预测[J].电网技术,2011,33(1):66-71.Zhou Quan,Sun Wei,Ren Haijun,et al.Spatial load forecasting of distribution network based on least squares support vector machine and load density index system[J].Power System Technology,2011,33(1):66-71(in Chinese).
[9]  周湶,孙威,张昀,等.基于改进型ANFIS的负荷密度指标求取新方法[J].电力系统保护与控制,2011,39(1):29-39.Zhou Quan,Sun Wei,Zhang Yun,et al.A new method to obtain load density based on improved ANFIS[J].Power System Protection and Control,2011,39(1):29-39(in Chinese).
[10]  陶文斌,张粒子,潘弘,等.基于双层贝叶斯分类的空间负荷预测[J].中国电机工程学报,2007,27(7):13-17.Tao Wenbin,Zhang Lizi,Pan Hong,et al.Spatial electric load forecasting based on double-level Bayesian classification[J].Proceedings of the CSEE,2007,27(7):13-17(in Chinese).
[11]  刘自发,陈艳旭,张杰超.基于AHP和TOPSIS法的空间负荷预测[J].电力科学与技术学报,2009,24(4):44-53.Liu Zifa,Chen Yanxu,Zhang Jiechao.AHP and TOPSIS method based spatial electric load forecasting[J].Journal of Electric Power Science and Technology,2009,24(4):44-53(in Chinese).
[12]  刘自发,庞铖铖,魏建炜,等.基于IAHP和TOPSIS方法的负荷密度指标计算[J].电力系统自动化,2012,36(13):56-61.Liu Zifa,Pang Chengcheng,Wei Jianwei,et al.Index calculation of load density based on IAHP and TOPSIS methods[J].Automation of Electric Power Systems,2012,36(13):56-61(in Chinese).
[13]  肖白,穆钢,杨右虹,等.基于GIS的空间电力负荷预测平台的研究与开发[J].中国电力,2010,34(10):53-57.Xiao Bai,Mu Gang,Yang Youhong,et al.R&D of spatial load forecasting platform based on GIS[J].Electric Power,2010,34(10):53-57(in Chinese).
[14]  肖白,黎平.最佳电力负荷空间分辨率的获取方法[J].中国电机工程学报,2010,30(34):50-56.Xiao Bai,Li Ping.Method for acquiring optimum spatial resolution of electric load[J].Proceedings of the CSEE,2010,30(34):50-56(in Chinese).
[15]  王成山,黄纯华,葛少云,等.一个实用的城市电力负荷密度预测系统[J].电网技术,1992,16(6):41-46.Wang Chengshan,Huang Chunhua,Ge Shaoyun,et al.A practical forecasting system for urban electric load density[J].Power System Technology,1992,16(6):41-46(in Chinese).
[16]  Willis H L,Northcote-green J.Spatial electric load forecasting:a Tutorial Review[J].Proceedings of the IEEE,1983,71(2):232-253.
[17]  肖白,穆钢,黎平,等.空间负荷预测中的负荷时序消差方法[J].电力系统自动化,2010,34(16):50-54.Xiao Bai,Mu Gang,Li Ping,et al. A time series mismatch corrective method for spatial load forecasting[J].Automation of Electric Power Systems,2010,34(16):50-54(in Chinese).
[18]  杨薛明,苑津莎,王剑峰,等.基于云理论的配电网空间负荷预测方法研究[J].中国电机工程学报,2006,26(6):30-36.Yang Xueming,Yuan Jinsha,Wang Jianfeng,et al.A new spatial forecasting method for distribution network based on cloud theory[J].Proceedings of the CSEE,2006,26(6):30-36(in Chinese).
[19]  肖白,周潮,穆钢.空间电力负荷预测方法综述与展望[J].中国电机工程学报,2013,33(25):78-92.Xiao Bai,Zhou Chao,Mu Gang.Review and prospect of the spatial load forecasting methods[J].Proceedings of the CSEE,2013,33(25):78-92(in Chinese).
[20]  康重庆,夏清,张伯明.电力系统负荷预测研究综述与发展方向的探讨[J].电力系统自动化,2004,28(17):1-11.Kang Chongqing,Xia Qing,Zhang Boming.Review of power system load forecasting and its development[J].Automation of Electric Power Systems,2004,28(17):1-11(in Chinese).

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