A multi-region optimization planning model for China's power sector

被引:109
作者
Cheng, Rui [1 ]
Xu, Zhaofeng [1 ]
Liu, Pei [1 ]
Wang, Zhe [1 ]
Li, Zheng [1 ]
Jones, Ian [2 ]
机构
[1] Tsinghua Univ, Tsinghua BP Clean Energy Ctr, Dept Thermal Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
[2] BP Grp Technol, Sunbury On Thames, Middx, England
关键词
Power sector; Multi-region model; Optimal planning; Power transmission; Cap-and-trade; PROGRAMMING APPROACH; OPTIMAL-DESIGN; NETWORK;
D O I
10.1016/j.apenergy.2014.10.023
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Demand for electricity in China kept accelerating in recent years; moreover, there exist serious mismatches among the distribution of power demand, energy resources, and power generation infrastructure across different regions in China, both of which indicate a necessity of a holistic and integrated approach to the strategic planning and development of its power industry. Material benefits could be realized by ensuring that the long term development of the power system is optimized by taking into consideration the different regional dynamics and characteristics. This paper proposes a multi-region optimization model that can deliver insights into how planning of the long term development of China's power sector could minimize the total cost of China's power sector by considering regional variations in availabilities of resources and inter-region power transmission line capacity. A case study considered how investment decisions to expand and alter the existing generation mix could be optimized across a timeframe from 2011 to 2050. By comparing results between single and multi-region optimizations, it was possible to show the likely impact on how investment decisions would differ when regional differences were taken into account. The multi-region optimization arguably better reflects and considers conditions and challenges in the real world. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:413 / 426
页数:14
相关论文
共 28 条
[11]   Can China realize its carbon emission reduction goal in 2020: From the perspective of thermal power development [J].
Liu, Liwei ;
Zong, Haijing ;
Zhao, Erdong ;
Chen, Chuxiang ;
Wang, Jianzhou .
APPLIED ENERGY, 2014, 124 :199-212
[12]   Advances in Energy Systems Engineering [J].
Liu, Pei ;
Georgiadis, Michael C. ;
Pistikopoulos, Efstratios N. .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2011, 50 (09) :4915-4926
[13]   An energy systems engineering approach to the optimal design of energy systems in commercial buildings [J].
Liu, Pei ;
Pistikopoulos, Efstratios N. ;
Li, Zheng .
ENERGY POLICY, 2010, 38 (08) :4224-4231
[14]  
Metz B., 2005, IPCC SPECIAL REPORT
[15]  
National Bureau of Statistics of China, CHIN STAT YB 2012
[16]  
Parikh J, 1996, IEEE T POWER SYST, V11, P52, DOI 10.1109/59.485985
[17]  
State Statistics Bureau of China, 2010, CHIN EN STAT YB 2009
[18]  
The State Electricity Regulatory Commission, 2010 CHIN EL REG REP
[19]   The value of a clear, long-term climate policy agenda: A case study of China's power sector using a multi-region optimization model [J].
Wang, Can ;
Ye, Minhua ;
Cai, Wenjia ;
Chen, Jining .
APPLIED ENERGY, 2014, 125 :276-288
[20]   Analysis of the market penetration of clean coal technologies and its impacts in China's electricity sector [J].
Wang, Hao ;
Nakata, Toshihiko .
ENERGY POLICY, 2009, 37 (01) :338-351