基于时序场景的全球联网电力流多期规划模型
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摘要
面临资源紧张、环境污染、气候变化等诸多挑战,需要大力推动以太阳能、风能等清洁能源替代化石能源,走绿色低碳可持续的全球能源转型道路。针对全球能源互联互通需要,提出了通过时序场景计及全球可再生能源资源和电力需求的分布特性,在此基础上以全球电力供应总成本最小化为目标,构建了全球联网电力流多期规划模型;最后面向全球能源资源大范围优化配置的发展愿景,开展了全球联网电力流格局的量化分析。
Faced with many challenges such as resource constraints, environmental pollution, and climate change, it is necessary to vigorously promote the replacement of fossil energy with clean energy such as solar energy and wind energy, and take a green, low-carbon sustainable global energy transformation path. For global energy interconnection needs, this paper proposes to consider the distribution characteristics of global renewable energy resources and power demand through the time series scenarios. On this basis, the multi-period planning model of power flow of global energy interconnection is established with the goal of minimizing the total cost of global electricity supply. Finally, towards the development vision of global energy resources allocated in a wide range, a quantitative analysis of power flow patterns of global energy interconnection is carried out.
Faced with many challenges such as resource constraints, environmental pollution, and climate change, it is necessary to vigorously promote the replacement of fossil energy with clean energy such as solar energy and wind energy, and take a green, low-carbon sustainable global energy transformation path. For global energy interconnection needs, this paper proposes to consider the distribution characteristics of global renewable energy resources and power demand through the time series scenarios. On this basis, the multi-period planning model of power flow of global energy interconnection is established with the goal of minimizing the total cost of global electricity supply. Finally, towards the development vision of global energy resources allocated in a wide range, a quantitative analysis of power flow patterns of global energy interconnection is carried out.
引文
[1]刘振亚.全球能源互联网[M].北京:中国电力出版社,2015.
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[14]张恒旭,施啸寒,刘玉田,等.我国西北地区可再生能源基地对全球能源互联网构建的支撑作用[J].山东大学学报(工学版),2016,46(4):96-102.Zhang Hengxu,Shi Xiaohan,Liu Yutian,et al.Support of the renewable energy base in northwest of China on the construction of global energy interconnection[J].Journal of Shandong University(Engineering Science),2016,46(4):96-102(in Chinese).
[15]肖晋宇,张宇,万磊,等.直流电网在全球能源互联网中的应用定位与案例研究[J].全球能源互联网,2018,1(1):32-38.Xiao Jinyu,Zhang Yu,Wan Lei,et al.Application of DC grid in global energy interconnection and case study[J].Journal of Global Energy Interconnection,2018,1(1):32-38(in Chinese).
[16]殷树刚,苗培青,拜克明,等.利用特高压输电技术提高全球能源使用效率[J].中国电力,2010,43(2):1-5.Yin Shugang,Miao Peiqing,Bai Keming,et al.To improve utilization efficiency of global energy resources through UHVpower transmission technology[J].Electric Power,2010,43(2):1-5(in Chinese).
[17]Wang J,Shahidehpour M,Li Z.Security-constrained unit commitment with volatile wind power generation[J].IEEETransactions on Power Systems,2008,23(3):1319-1327.
[18]国网能源研究院有限公司.全球能源电力需求分布特点、格局及演变趋势研究[R].北京:国网能源研究院有限公司,2017.
[19]Han J,Kamber M,Pei J.Data mining:concepts and techniques[M].Elsevier,2011.
[2]全球能源互联网发展合作组织.全球能源互联网发展白皮书[R].北京:全球能源互联网发展合作组织,2017.
[3]王益民.全球能源互联网理念及前景展望[J].中国电力,2016,49(3):1-5.Wang Yimin.Concept and prospect of global energy interconnection[J].Electric Power,2016,49(3):1-5(in Chinese).
[4]刘振亚.全球能源互联网跨国跨洲互联研究及展望[J].中国电机工程学报,2016(19):5103-5110.Liu Zhenya.Research of global clean energy resource and power grid interconnection[J].Proceedings of the CSEE,2016(19):5103-5110(in Chinese).
[5]朱发根,单葆国,马丁,等.基于CO2减排目标的2050年全球能源需求展望[J].中国电力,2016,49(3):34-38.Zhu Fagen,Shan Baoguo,Ma Ding,et al.Global energy demand prospect based on CO2 emission reduction target in2050[J].Electric Power,2016,49(3):34-38(in Chinese).
[6]魏晓霞,张晋芳,黄瀚.基于全球能源互联网格局的俄罗斯远东西伯利亚地区能源供应体系研究[J].中国电力,2016,49(3):46-50.Wei Xiaoxia,Zhang Jinfang,Huang Han.Research on Russian Far East Siberia power supply system based on global energy internet patterns[J].Electric Power,2016,49(3):46-50(in Chinese).
[7]刘晓明,许乃媛,杨斌,等.全球能源互联网受端特高压网架双阶段优化[J].山东大学学报(工学版),2017,47(6):1-6.Liu Xiaoming,Xu Naiyuan,Yang Bin,et al.Bi-stage optimization method for receiving-end ultra-high voltage network planning under global energy interconnection[J].Journal of Shandong University(Engineering Science),2017,47(6):1-6(in Chinese).
[8]鲁宗相,李昊,乔颖.考虑国家风险的清洁能源跨国输送通道规划方法[J].全球能源互联网,2018,1(1):23-31.Lu Zongxiang,Li Hao,Qiao Ying.Wide-area interconnection grid planning for clean power integration considering the effect of country risks[J].Journal of Global Energy Interconnection,2018,1(1):23-31(in Chinese).
[9]周勤勇.亚洲电网互联模式探讨[J].电网技术,2017,41(5):1491-1497.Zhou Qinyong.Discussion on interconnection mode of Asian power grids[J].Power System Technology,2017,41(5):1491-1497(in Chinese).
[10]孙珂,张琳,宋福龙,等.电力流向及规模优化研究模型及研究方法[J].电力建设,2012,33(8):8-11.Sun Ke,Zhang Lin,Song Fulong,et al.Model and method of study on power flow and scale optimization[J].Electric Power Construction,2012,33(8):8-11(in Chinese).
[11]Zhang N,Hu Z G,Shen B,et al.An integrated source-gridload planning model at the macro level:case study for China’s power sector[J].Energy,2017,126:231-246.
[12]Otsuki T,Isa A B M,Samuelson R D.Electric power grid interconnections in Northeast Asia:a quantitative analysis of opportunities and challenges[J].Energy Policy,2016,89:311-329.
[13]石访,张恒旭,张磊.全球能源互联网宏观运行特性仿真框架[J].山东大学学报(工学版),2017,47(6):151-156.Shi Fang,Zhang Hengxu,Zhang Lei.Simulation framework for the macro-operation characteristics of global energy interconnection[J].Journal of Shandong University(Engineering Science),2017,47(6):151-156(in Chinese).
[14]张恒旭,施啸寒,刘玉田,等.我国西北地区可再生能源基地对全球能源互联网构建的支撑作用[J].山东大学学报(工学版),2016,46(4):96-102.Zhang Hengxu,Shi Xiaohan,Liu Yutian,et al.Support of the renewable energy base in northwest of China on the construction of global energy interconnection[J].Journal of Shandong University(Engineering Science),2016,46(4):96-102(in Chinese).
[15]肖晋宇,张宇,万磊,等.直流电网在全球能源互联网中的应用定位与案例研究[J].全球能源互联网,2018,1(1):32-38.Xiao Jinyu,Zhang Yu,Wan Lei,et al.Application of DC grid in global energy interconnection and case study[J].Journal of Global Energy Interconnection,2018,1(1):32-38(in Chinese).
[16]殷树刚,苗培青,拜克明,等.利用特高压输电技术提高全球能源使用效率[J].中国电力,2010,43(2):1-5.Yin Shugang,Miao Peiqing,Bai Keming,et al.To improve utilization efficiency of global energy resources through UHVpower transmission technology[J].Electric Power,2010,43(2):1-5(in Chinese).
[17]Wang J,Shahidehpour M,Li Z.Security-constrained unit commitment with volatile wind power generation[J].IEEETransactions on Power Systems,2008,23(3):1319-1327.
[18]国网能源研究院有限公司.全球能源电力需求分布特点、格局及演变趋势研究[R].北京:国网能源研究院有限公司,2017.
[19]Han J,Kamber M,Pei J.Data mining:concepts and techniques[M].Elsevier,2011.