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Aggregated impact of allowance allocation and power dispatching on emission reduction 被引量:2

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摘要 Climate change has become one of the most important issues for the sustainable development of social well-being.China has made great efforts in reducing CO2 emissions and promoting clean energy.Pilot Emission Trading Systems(ETSs)have been launched in two provinces and five cities in China,and a national level ETS will be implemented in the third quarter of 2017,with preparations for China’s national ETS now well under way.In the meantime,a new round of China’s electric power system reform has entered the implementation stage.Policy variables from both electricity and emission markets willimpose potential risks on the operation of generation companies(Gen Cos).Under this situation,by selecting key variables in each domain,this paper analyzes the combined effects of different allowance allocation methods and power dispatching models on power system emission.Key parameters are set based on a provincial power system in China,and the case studies are conducted based on dynamic simulation platform for macro-energy systems(DSMES)software developed by the authors.The selected power dispatching models include planned dispatch,energy saving power generation dispatch and economic dispatch.The selected initial allowance allocation methods in the emission market include the grandfathering method based on historical emissions and the benchmarking method based on actual output.Based on the simulation results and discussions,several policy implications are highlighted to help to design an effective emission market in China.
出处 《Journal of Modern Power Systems and Clean Energy》 SCIE EI 2017年第6期936-946,共11页 现代电力系统与清洁能源学报(英文)
基金 supported by The National Key Research and Development Program of China(Basic Research Class 2017YFB0903000)-Basic Theories and Methods of Analysis and Control of the Cyber Physical Systems for Power Grid the State Grid Corporation of China‘‘Key technologies research on carbon asset management of transmission company’’and Major Consulting Project of Chinese Academy of Engineering(No.2016-ZD-07)
作者简介 Chao JIANG received his B.Sc.degree from Nanjing University of Science&Technology,Nanjing,China,in 2010.Currently,he is pursuing the Ph.D degree at Nanjing University of Science&Technology.His research interests include power market and emission market modeling,experimental economics and environmental policies.jiangchao1@sgepri.sgcc.com.cn;Yusheng XUE received his Ph.D.degree in Electrical Engineering from the University of Liege(Belgium)in 1987.He became a Member of Chinese Academy of Engineering in 1995.He is now the Honorary President of State Grid Electric Power Research Institute(SGEPRI),State Grid Corporation of China.His research interests include nonlinear stability,control and power system automation.xueyusheng@sgepri.sgcc.com.cn;Jie HUANG received his Ph.D.degree from Nanjing University of Science&Technology in 2011.He is now a senior engineer in State Grid Electric Power Research Institute(SGEPRI),State Grid Corporation of China.His research interests include electricity market modeling and simulation,risk management,and policy issues related with emission trading.huangjie1@sgepri.sgcc.com.cn;Feng XUE received his Ph.D.degree from the University of Bath,UK in 2008.His main research field is power system analysis and control.xue-feng@sgepri.sgcc.com.cn;Fushuan WEN received the B.E.and M.E.degrees from Tianjin University,Tianjin,China,in 1985 and 1988,respectively,and the Ph.D.degree from Zhejiang University,Hangzhou,China,in 1991,all in electrical engineering.He joined Zhejiang University in 1991 and has been a full professor and the director of the Institute of Power Economics and Information since 1997.He was the deputy dean of the School of Electrical Engineering in South China University of Technology,Guangzhou,China,from 2005 to 2009.Since May 2014,he has been a professor with Brunei University of Technology,Brunei.His research interests lie in power industry restructuring,power system alarm processing,fault diagnosis and restoration strategies,as well as smart grids and electric vehicles.fushuan.wen@gmail.com;Kang LI received the B.Sc.degree from Xiangtan University,Hunan,China,in 1989,the M.Sc.degree from the Harbin Institute of Technology,Harbin,China,in 1992,and the Ph.D.degree from Shanghai Jiao Tong University,Shanghai,China,in 1995.He is currently a Professor of intelligent systems and control with Queen’s University Belfast,Belfast,U.K.His current research interests include nonlinear system modeling,identification,and control,bio-inspired computational intelligence,fault diagnosis and detection,with recent applications on power systems and renewable energy,polymer extrusion processes,bioinformatics with applications on food safety,healthcare,and biomedical engineering.K.LI@qub.ac.uk
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