分级骨干网架的构建及其经济效益评估方法
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摘要
构建骨干网架是差异化规划电网以提高其抵抗自然灾害能力的关键手段,基于设备重要度和抗灾效益评估的阶梯式分级骨干网架建设能够兼顾电网建设的抗灾性和经济性。本文根据系统源、荷和支路的重要度评估,提出了分级骨干网架构建方法,以全寿命周期成本理论为基础并考虑设备等级、使用寿命和折旧价值,构建差异化建设投资成本计算模型,以各级负荷典型用户为代表建立负荷侧停电损失模型并与发电侧和电网侧效益组成分级骨干网架抗灾效益,结合成本模型形成差异化建设经济效益评估体系。最后以IEEE 118系统为例搜索分级骨干网架并设计多种抗灾建设方案,通过投资成本和收益的对比,证明了分级骨干网架建设的经济性和抗灾效益评估体系的合理性与可行性。
Identifying backbone grid is of great significance to the differential planning of power grid in that it can improve the resistance to natural disasters effectively.The stepwise graded backbone grid based on the evaluation of both equipment importance and the benefit of disaster resistance can balance disaster resistance and economy of power grid construction.This paper presents an approach to construct graded backbone according to the classification of power sources,loads and branches.Based on the life cycle cost theory,the cost calculation model of the differential construction is established with the grade of equipment,service life and depreciation value taken into account.The model of customer outage cost is set up with typical users as representatives,which,together with the benefits of power-generation-side and transmission-side and the cost calculation model,constitutes a set of economic assessment system.The feasibility of the method to search for graded backbone grid and the validity of the proposed assessment system are verified by simulation results of the IEEE 118-bus power system.
Identifying backbone grid is of great significance to the differential planning of power grid in that it can improve the resistance to natural disasters effectively.The stepwise graded backbone grid based on the evaluation of both equipment importance and the benefit of disaster resistance can balance disaster resistance and economy of power grid construction.This paper presents an approach to construct graded backbone according to the classification of power sources,loads and branches.Based on the life cycle cost theory,the cost calculation model of the differential construction is established with the grade of equipment,service life and depreciation value taken into account.The model of customer outage cost is set up with typical users as representatives,which,together with the benefits of power-generation-side and transmission-side and the cost calculation model,constitutes a set of economic assessment system.The feasibility of the method to search for graded backbone grid and the validity of the proposed assessment system are verified by simulation results of the IEEE 118-bus power system.
引文
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[14]苏海锋,张建华,梁志瑞,等.基于LCC和改进粒子群算法的配电网多阶段网架规划优化[J].中国电机工程学报,2013,33(4):118-125.SU Haifeng,ZHANG Jianhua,LIANG Zhirui,et al.Multi-stage planning optimization for power distribution network based on LCC and improved PSO[J].Proceedings of the CSEE,2013,33(4):118-125.(in Chinese)
[15]Ovreiu M,Simon D.Biogeography-based optimization of neuro-fuzzy system parameters for diagnosis of cardiac disease[C]∥Conference on Genetic and Evolutionary Computation.Portland,USA:ACM,2010:1235-1242.
[16]Gupta S,Arora A,Panchal V K,et al.Extended biogeography based optimization for natural terrain feature classification from satellite remote sensing images[C]∥International Conference on Contemporary Computing IC3 2011.Berlin:Springer,2011:262-269.
[17]钟佑明,吕恩琳,王应芳.区间概率随机变量及其数字特征[J].重庆大学学报(自然科学版),2001,24(1):24-27.ZHONG Youming,LV Enlin,WANG Yingfang.Interval probability random variable and its numerical characters[J].Journal of Chongqing University(Narural Science Edition),2001,24(1):24-27.(in Chinese)
[18]张勇军,黄慧,唐捷.基于非序贯蒙特卡洛冰灾重现期线路经济性比较[J].电力系统保护与控制,2010,38(13):119-123.ZHANG Yongjun,HUANG Hui,TANG Jie.Economy comparison of line's ice disaster cycle based on non-sequential Monte Carlo[J].Power System Protection and Control,2010,38(13):119-123.(in Chinese)
[19]Jonnavithula A,Billinton R.Features that influence composite power system reliability worth assessment[J].IEEE Transactions on Power Systems,1997,12(4):1536-1541.
[20]周莉梅,范明天.城市电网用户停电损失估算及评价方法研究[J].中国电力,2006,39(7):70-73.ZHOU Limei,FAN Mingtian.Research on customer outage cost assessment and its evaluation method in urban electric power network[J].Electric Power,2006,39(7):70-73.(in Chinese)
[21]李蕊.配电网可靠性与重要电力用户停电损失研究[D].北京:中国电力科学研究院,2010.LI Rui.The study on economics evaluation of distribution system reliability with consideration of important power users[D].Beijing:China Electric Power Research Institute,2010.(in Chinese)
[2]Deblasio R,Tom C.Standards for the smart grid[C]∥Proceedings of IEEE Energy 2030Conference,2008,Atlanta,GA,USA.IEEE,2008:1-7.
[3]Trudel G,Gingras J P,Pierre J R.Designing a reliable power system:hydro-quebec’s integrated approach[J].Proceedings of the IEEE,2005,93(5):907-917.
[4]黎灿兵,梁锦照.电网差异化规划新方法[J].电力系统自动化,2009,33(24):11-15.LI Canbing,LIANG Jinzhao.A novel method of power grid differential planning[J].Automation of Electric Power Systems,2009,33(24):11-15.(in Chinese)
[5]洪运福.基于复杂网络的输电网差异化规划研究[D].保定:华北电力大学,2012.HONG Yunfu.Transmission network differential planning based on complex network theory[D].Baoding:North China Electric Power University,2012.
[6]赵一婕,刘涤尘,吴军,等.基于线性判别分析与主成分分析的骨干网架生存性评估方法[J].电网技术,2014,38(2):388-394.ZHAO Yijie,LIU Dichen,WU Jun,et al.Survivability evaluation of backbone network based on linear discriminant analysis and principal component analysis[J].Power System Technology,2014,38(2):388-394.(in Chinese)
[7]彭显刚,林利祥,翁奕珊,等.基于模糊综合评判和综合赋权的抗灾型配电网骨干网架规划[J].电力系统自动化,2015,39(12):172-178.PENG Xiangang,LIN Lixiang,WENG Yishan,et al.Decision-making method for anti-disaster distribution network backbone upgrade based on fuzzy comprehensive evaluation and comprehensive weights[J].Automation of Electric Power Systems,2015,39(12):172-178.(in Chinese)
[8]宋春丽,刘涤尘,吴军,等.考虑气象因素的电网差异化规划[J].电力系统及其自动化学报,2015,27(12):1-6.SONG Chunli,LIU Dichen,WU Jun,et al.Differential power network planning considering weather factors[J].Proceedings of the CSU-EPSA,2015,27(12):1-6.(in Chinese)
[9]李隽,罗金山,吴军,等.基于电网差异化规划原则分析的核心骨干网架构建方法研究[J].陕西电力,2013,41(12):8-14,19.LI Jun,LUO Jinshan,WU Jun,et al.Construction method of core backbone network frame based on power grid differential planning principle analysis[J].Shaanxi Electric Power,2013,41(12):8-14,19.(in Chinese)
[10]Yang W H,Bi T S,Huang S F,et al.Identification of backbone-grid in power grid based on binary particle swarm optimization[C]∥International Conference on Power System Technology,October 24-28,2010,Hangzhou,China.IEEE,2010:1-6.
[11]董飞飞,刘涤尘,吴军,等.基于改进BBO优化算法和电网生存性的核心骨干网架构建[J].中国电机工程学报,2014,34(16):2659-2667.DONG Feifei,LIU Dichen,WU Jun,et al.A method of constructing core backbone grid based on improved BBO optimization algorithm and survivability of power grid[J].Proceedings of the CSEE,2014,34(16):2659-2667.(in Chinese)
[12]Yusni A,Nugraha H,Sinisuka N I.Life cycle management on the operation of 400 MW power generation[C]∥2018International Conference on Information and Communications Technology,March 6-7,2018,Yogyakarta,Indonesia.IEEE,2018:838-843.
[13]Kishore T S,Singal S K.Development of generic life cycle costing model for analysis of power transmission lines[C]∥International Conference on Science Engineering and Management Research,November 27-29,2014,Chennai,India.IEEE,2014:1-5.
[14]苏海锋,张建华,梁志瑞,等.基于LCC和改进粒子群算法的配电网多阶段网架规划优化[J].中国电机工程学报,2013,33(4):118-125.SU Haifeng,ZHANG Jianhua,LIANG Zhirui,et al.Multi-stage planning optimization for power distribution network based on LCC and improved PSO[J].Proceedings of the CSEE,2013,33(4):118-125.(in Chinese)
[15]Ovreiu M,Simon D.Biogeography-based optimization of neuro-fuzzy system parameters for diagnosis of cardiac disease[C]∥Conference on Genetic and Evolutionary Computation.Portland,USA:ACM,2010:1235-1242.
[16]Gupta S,Arora A,Panchal V K,et al.Extended biogeography based optimization for natural terrain feature classification from satellite remote sensing images[C]∥International Conference on Contemporary Computing IC3 2011.Berlin:Springer,2011:262-269.
[17]钟佑明,吕恩琳,王应芳.区间概率随机变量及其数字特征[J].重庆大学学报(自然科学版),2001,24(1):24-27.ZHONG Youming,LV Enlin,WANG Yingfang.Interval probability random variable and its numerical characters[J].Journal of Chongqing University(Narural Science Edition),2001,24(1):24-27.(in Chinese)
[18]张勇军,黄慧,唐捷.基于非序贯蒙特卡洛冰灾重现期线路经济性比较[J].电力系统保护与控制,2010,38(13):119-123.ZHANG Yongjun,HUANG Hui,TANG Jie.Economy comparison of line's ice disaster cycle based on non-sequential Monte Carlo[J].Power System Protection and Control,2010,38(13):119-123.(in Chinese)
[19]Jonnavithula A,Billinton R.Features that influence composite power system reliability worth assessment[J].IEEE Transactions on Power Systems,1997,12(4):1536-1541.
[20]周莉梅,范明天.城市电网用户停电损失估算及评价方法研究[J].中国电力,2006,39(7):70-73.ZHOU Limei,FAN Mingtian.Research on customer outage cost assessment and its evaluation method in urban electric power network[J].Electric Power,2006,39(7):70-73.(in Chinese)
[21]李蕊.配电网可靠性与重要电力用户停电损失研究[D].北京:中国电力科学研究院,2010.LI Rui.The study on economics evaluation of distribution system reliability with consideration of important power users[D].Beijing:China Electric Power Research Institute,2010.(in Chinese)