中图分类号:
TM73
{{custom_clc.code}}
({{custom_clc.text}})
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] 陈政, 谢文锦, 张翔, 等. 基于长期边际成本的输配电定价方法及在英国高压配电定价中的应用[J]. 电力建设, 2016, 37(7):64-70.Chen Z, Xie W J, Zhang X, et al. Transmission and distribution pricing method based on long-run marginal cost and its application in UK HP distribution pricing[J]. Electric Power Construction, 2016, 37(7):64-70.
[2] Hobbs B F, Rijkers F A M. Strategic generation with conjectured transmission price responses in a mixed transmission pricing system-Part 1:Formulation[J]. IEEE Transactions on Power Systems, 2004, 19(2):707-717.
[3] 周明, 郑雅楠, 李庚银, 等.考虑分时电价和电能质量的大用户转运费用固定成本的综合分摊方法[J]. 中国电机工程学报, 2008(19):125-130.Zhou M, Zheng Y N, Li G Y, et al. Synthetical method for allocating wheeling fixed cost for large consumers considering time-of-use pricing and power quality[J]. Proceedings of the CSEE, 2008(19):125-130.
[4] 魏震波, 刘俊勇, 王民昆, 等. 基于潮流追踪的两部制输电定价法[J]. 四川大学学报(工程科学版), 2010, 42(1):211-215.Wei Z B, Liu J Y, Wang M K, et al. Two system transmission price based on power flow tracing[J]. Journal of Sichuan University (Engineering science edition), 2010, 42(1):211-215.
[5] 段刚, 王心丰, 白玮, 等. 输电服务定价的资金流-资金路径法[J]. 中国电机工程学报, 2003, 23(3):48-53.Duan G, Wang X F, Bai W, et al. The cash flow of transmission service pricing-fund path method[J]. Proceedings of the CSEE, 2003, 23(3):48-53.
[6] 岳建坤, 张粒子. 基于潮流追踪和广义发电分配因子的输电费用分摊方法研究[J]. 华东电力, 2012(12):2127-2132.Yue J K, Zhang L Z. Research on allocation of transmission cost based on power flow tracing and generalized generation distribution factors[J]. East China Electric Power, 2012(12):2127-2132.
[7] 周盈, 文福拴, 朱炳铨, 等. 确定直购电交易分摊电力网络固定成本的新方法[J]. 电力系统及其自动化学报, 2015, 27(9):12-20.Zhou Y, Wen F S, Zhu B Q, et al. New method for allocating power network fixed cost among direct trades[J]. Proceedings of the CSU-EPSA, 2015, 27(9):12-20.
[8] 张粒子, 叶红豆, 陈逍潇. 基于峰荷责任的输配电价定价方法[J]. 电力系统自动化, 2017, 41(14):92-98.Zhang L Z, Ye H D, Chen X X. Transmission and distribution pricing method based on peak-loading pricing[J]. Automation of Electric Power System, 2017, 41(14):92-98.
[9] Ghayeni M, Ghazi R. Transmission network cost allocation with nodal pricing approach based on Ramsey pricing concept[J]. IET Generation Transmission & Distribution, 2011, 5(3):384-392.
[10] 蔡建刚, 叶泽. 信息不对称条件下激励相容的输配电价模型研究[J]. 中国管理科学, 2014, 22(5):91-97.Cai J G, Ye Z. The incentive compatibility price model of transmission and distribution under asymmetric information[J]. Chinese Journal of Management Science, 2014, 22(5):91-97.
[11] 彭小东. 省级电网输配电定价机制及实证研究[D]. 北京:华北电力大学, 2016.Peng X D. Provincial grid transmission and distribution pricing mechanism and empirical research[D]. Beijing:North China Electric Power University, 2016.
[12] 刘思强, 叶泽, 范先国, 等. 定价参数对输配电价的影响及调控模型[J]. 电力系统自动化, 2017, 41:1-9.Liu S Q, Ye e, Fan X G, et al. Influence of pricing parameters on transmission and distribution price and its regulation model[J]. Automation of Electric Power System, 2017, 41:1-9.
[13] 韩勇, 田闻旭, 谭忠富. 基于长期边际成本的不同电压等级输配电价定价模型及其应用[J]. 电网技术, 2011, 35(7):175-180.Han Y, Tian W X, Tan Z F. A long-term marginal cost based transmission and distribution pricing model for power transmission and distribution in various voltage classes and its application[J]. Power System Technology, 2011, 35(7):175-180.
[14] 叶泽, 姚赛. 我国推行负荷率电价的研究[J]. 价格理论与实践, 2014(5):44-46.
[15] 朱连波, 孙松强, 常磊, 等. 负荷率与线损的定量关系及其在分时电价成本效益分析中的应用[J]. 电力系统保护与控制, 2010, 38(17):43-46.Zhu L B, Sun S Q, Chang L, et al. Quantitative relationship between load factor and power loss and application in cost-benefit analysis of TOU[J]. Power System Protection and Control, 2010, 38(17):43-46.
[16] Hansen B E. Threshold effects in non-dynamic panels:Estimation, testing, and inference[J]. Journal of Econometrics, 1999, 93(2):345-368.
[17] 韩民春, 冯钟. 房价上涨对人口城市化的影响——基于房价收入比门槛效应的分析[J]. 城市问题, 2017, 5:98-103.
[18] 宋艺航, 谭忠富, 李欢欢, 等. 促进风电消纳的发电侧、储能及需求侧联合优化模型[J]. 电网技术, 2014, 38(3):610-615.Song Y H, Tan Z F, Li H H, et al. An optimization model combining generation side and energy storage system with demand side to promote accommodation of wind power[J]. Power System Technology, 2014, 38(3):610-615.
{{custom_fnGroup.title_cn}}
脚注
{{custom_fn.content}}
基金
国家自然科学基金(71573084);北京市社会科学基金(16JDYJB044)
{{custom_fund}}