计及电源结构时空特性的电能替代评价
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摘要
现有需求侧管理节能评价方法无法量化由终端设备用能种类改变产生的节能效果,传统电能替代评价方法无法计及基于电力网络潮流的真实电源结构对评估结果的影响。建立了一种计及电力网络、电源结构和用户用电方式的电能替代节能减排评价模型,提出和推导了计及清洁能源消纳的电力能耗系数和电力煤耗系数,用于表征电力系统能耗水平,并从用能全过程的角度量化广义节能下的电能替代项目节能量和减排量。算例分析了电力能耗和煤耗系数的时空特性,建立典型场景数据库,以电动汽车为代表说明通过需求响应和储能优化电能替代项目的运行对评估指标具有积极影响。
The existing evaluation method for demand-side management energy-saving cannot quantify the energy-saving produced by the change of the energy types of the terminal equipment, and the traditional electric power replacement evaluation method cannot take into account the influence of the real power source structure based on the power network flow. An energy-saving and emissionreduction evaluation model is established, which takes into account the power network, power source structure and electricity use mode. The energy consumption coefficient of electricity(ECCE) and coal consumption coefficient of electricity(CCCE), which characterize the energy consumption level of the power system, are proposed and deduced. The energy saving and emission reductions of electric power replacement project are quantified from the perspective of whole process based on generalized energy saving. The spatiotemporal characteristics of ECCE and CCCE are studied through case study, and a typical scenario database is established. Through demonstration of electric vehicle(EV), the operation of electric power replacement project optimized through demand response and energy storage has positive impact on evaluation index.
The existing evaluation method for demand-side management energy-saving cannot quantify the energy-saving produced by the change of the energy types of the terminal equipment, and the traditional electric power replacement evaluation method cannot take into account the influence of the real power source structure based on the power network flow. An energy-saving and emissionreduction evaluation model is established, which takes into account the power network, power source structure and electricity use mode. The energy consumption coefficient of electricity(ECCE) and coal consumption coefficient of electricity(CCCE), which characterize the energy consumption level of the power system, are proposed and deduced. The energy saving and emission reductions of electric power replacement project are quantified from the perspective of whole process based on generalized energy saving. The spatiotemporal characteristics of ECCE and CCCE are studied through case study, and a typical scenario database is established. Through demonstration of electric vehicle(EV), the operation of electric power replacement project optimized through demand response and energy storage has positive impact on evaluation index.
引文
[1]WANG K,LI H,MAHARJAN S,et al.Green energy scheduling for demand side management in the smart grid[J].IEEE Transactions on Green Communications and Networking,2018,2(2):596-611.
[2]YAN X,GU C,LI F,et al.LMP-based pricing for energy storage in local market to facilitate pv penetration[J].IEEE Transactions on Power Systems,2017,33(3):73-82.
[3]曹东莉,袁越,李志祥.电能替代应用及效益评价[J].电网与清洁能源,2011,27(4):30-34.CAO Dongli,YUAN Yue,LI Zhixiang.Application and efficiency evaluation of alternative energy[J].Power System and Clean Energy,2011,27(4):30-34.
[4]JUNGMEIER G,DUNN J B,ELGOWAINY A,et al.Key issues in life cycle assessment of electric vehicles[C]//Electric Vehicle Symposium and Exhibition.IEEE,2014:1-7.
[5]谭忠富,王抒祥,何洋,等.电动汽车节能与减排潜力计算模型[J].现代电力,2013,30(2):78-82.TAN Zhongfu,WANG Shuxiang,HE Yang,et al.Potential calculation model of energy-saving and emission reduction of electric vehicles[J].Modern Electric Power,2013,30(2):78-82.
[6]高赐威,罗海明,朱璐璐,等.基于电力系统能效评估的蓄能用电技术节能评价及优化[J].电工技术学报,2016,31(11):140-148.GAO Ciwei,LUO Haiming,ZHU Lulu,et al.The energy-saving assessment and optimization of energy storage and electricity utilization technology based on the energy efficiency evaluation of power system[J].Transactions of China Electrotechnical Society,2016,31(11):140-148.
[7]ROSSO A D,CLARK C.Methods and tools to estimate carbon emission savings from integration of renewable and T&D efficiency improvement[C]//Power and Energy Society General Meeting.IEEE,2011:1-8.
[8]邓彤天,姜延灿,张颖,等.600 MW火电机组运行过程中的负荷率分析[J].汽轮机技术,2015,57(2):151-154.DENG Tongtian,JIANG Yancan,ZHANG Ying,et al.Analysis on load rate of 600 MW fossil-fired generating unit during operation[J]. Turbine Technology,2015,57(2):151-154.
[9]洪绍云,程浩忠,黄丽娜,等.有功潮流追踪优化建模及其应用[J].中国电力,2017,50(4):81-86.HONG Shaoyun,CHENG Haozhong,HUANG Lina,et al.,Real power flow tracing optimal modeling and its application[J].Electric Power,2017,50(4):81-86.
[10]周天睿,康重庆,徐乾耀,等.电力系统碳排放流的计算方法初探[J].电力系统自动化,2012,36(11):44-49.ZHOU Tianrui,KANG Chongqing,XU Qianyao,et al.Preliminary investigation on a method for carbon emission flow calculation of power system[J].Automation of Electric Power Systems,2012,36(11):44-49.
[11]孔维政,李琼慧,汪晓露.基于全周期能源利用效率的电动汽车节能减排分析[J].中国电力,2012,45(9):64-67.KONG Weizheng,LI Qionghui,WANG Xiaolu.Analysis on energy saving and emission reduction of electric vehicles based upon life cycle energy efficiency[J].Electric Power,2012,45(9):64-67.
[12]王佳颖,李蒙.利用分布式风电并网改善配电线路末端电压[J].电力系统自动化,2015,39(9):145-149,155.WANG Jiaying,LI Meng.Using grid-connected distributed wind power to improve terminal voltage of distribution line[J].Automation of Electric Power Systems,2015,39(9):145-149,155.
[13]综合能耗计算通则:GB/T 2589-2008[S].
[14]余志生,夏群生.汽车理论[M].北京:机械工业出版社,2011.
[15]散装液态石油产品损耗:GB11085-1989[S].
[16]许伟.国内外石油公司生产效率对比及影响因素分析[N].中国经济时报,2015-05-06(5).
[17]孙洋洋.燃煤电厂多污染物排放清单及不确定性研究[D].杭州:浙江大学,2015.
[2]YAN X,GU C,LI F,et al.LMP-based pricing for energy storage in local market to facilitate pv penetration[J].IEEE Transactions on Power Systems,2017,33(3):73-82.
[3]曹东莉,袁越,李志祥.电能替代应用及效益评价[J].电网与清洁能源,2011,27(4):30-34.CAO Dongli,YUAN Yue,LI Zhixiang.Application and efficiency evaluation of alternative energy[J].Power System and Clean Energy,2011,27(4):30-34.
[4]JUNGMEIER G,DUNN J B,ELGOWAINY A,et al.Key issues in life cycle assessment of electric vehicles[C]//Electric Vehicle Symposium and Exhibition.IEEE,2014:1-7.
[5]谭忠富,王抒祥,何洋,等.电动汽车节能与减排潜力计算模型[J].现代电力,2013,30(2):78-82.TAN Zhongfu,WANG Shuxiang,HE Yang,et al.Potential calculation model of energy-saving and emission reduction of electric vehicles[J].Modern Electric Power,2013,30(2):78-82.
[6]高赐威,罗海明,朱璐璐,等.基于电力系统能效评估的蓄能用电技术节能评价及优化[J].电工技术学报,2016,31(11):140-148.GAO Ciwei,LUO Haiming,ZHU Lulu,et al.The energy-saving assessment and optimization of energy storage and electricity utilization technology based on the energy efficiency evaluation of power system[J].Transactions of China Electrotechnical Society,2016,31(11):140-148.
[7]ROSSO A D,CLARK C.Methods and tools to estimate carbon emission savings from integration of renewable and T&D efficiency improvement[C]//Power and Energy Society General Meeting.IEEE,2011:1-8.
[8]邓彤天,姜延灿,张颖,等.600 MW火电机组运行过程中的负荷率分析[J].汽轮机技术,2015,57(2):151-154.DENG Tongtian,JIANG Yancan,ZHANG Ying,et al.Analysis on load rate of 600 MW fossil-fired generating unit during operation[J]. Turbine Technology,2015,57(2):151-154.
[9]洪绍云,程浩忠,黄丽娜,等.有功潮流追踪优化建模及其应用[J].中国电力,2017,50(4):81-86.HONG Shaoyun,CHENG Haozhong,HUANG Lina,et al.,Real power flow tracing optimal modeling and its application[J].Electric Power,2017,50(4):81-86.
[10]周天睿,康重庆,徐乾耀,等.电力系统碳排放流的计算方法初探[J].电力系统自动化,2012,36(11):44-49.ZHOU Tianrui,KANG Chongqing,XU Qianyao,et al.Preliminary investigation on a method for carbon emission flow calculation of power system[J].Automation of Electric Power Systems,2012,36(11):44-49.
[11]孔维政,李琼慧,汪晓露.基于全周期能源利用效率的电动汽车节能减排分析[J].中国电力,2012,45(9):64-67.KONG Weizheng,LI Qionghui,WANG Xiaolu.Analysis on energy saving and emission reduction of electric vehicles based upon life cycle energy efficiency[J].Electric Power,2012,45(9):64-67.
[12]王佳颖,李蒙.利用分布式风电并网改善配电线路末端电压[J].电力系统自动化,2015,39(9):145-149,155.WANG Jiaying,LI Meng.Using grid-connected distributed wind power to improve terminal voltage of distribution line[J].Automation of Electric Power Systems,2015,39(9):145-149,155.
[13]综合能耗计算通则:GB/T 2589-2008[S].
[14]余志生,夏群生.汽车理论[M].北京:机械工业出版社,2011.
[15]散装液态石油产品损耗:GB11085-1989[S].
[16]许伟.国内外石油公司生产效率对比及影响因素分析[N].中国经济时报,2015-05-06(5).
[17]孙洋洋.燃煤电厂多污染物排放清单及不确定性研究[D].杭州:浙江大学,2015.