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
[1]  
[Anonymous], 2010, CO2 EMISSIONS FUEL C
[2]   Scenario analysis on CO2 emissions reduction potential in China's electricity sector [J].
Cai, Wenjia ;
Wang, Can ;
Wang, Ke ;
Zhang, Ying ;
Chen, Jining .
ENERGY POLICY, 2007, 35 (12) :6445-6456
[3]  
Chaturvedi R., 1999, International Transactions in Operational Research, V6, P465, DOI 10.1111/j.1475-3995.1999.tb00168.x
[4]  
China Electricity Council, 2009, COLL STAT INF CHIN P
[5]  
Dai Y, 2009, LOW CARBON DEV PATHW
[6]   What's the most cost-effective policy of CO2 targeted reduction: An application of aggregated economic technological model with CCS? [J].
Duan, Hong-Bo ;
Fan, Ying ;
Zhu, Lei .
APPLIED ENERGY, 2013, 112 :866-875
[7]  
Editorial board of China electric power yearbook, 2012, CHIN EL POW YB 2011
[8]   Opportunity for inter-regional integration of electricity markets: the case of Shandong and Shanghai in East China [J].
Gnansounou, E ;
Dong, J .
ENERGY POLICY, 2004, 32 (15) :1737-1751
[9]   A Spatial multi-period long-term energy planning model: A case study of the Greek power system [J].
Koltsaklis, Nikolaos E. ;
Dagoumas, Athanasios S. ;
Kopanos, Georgios M. ;
Pistikopoulos, Efstratios N. ;
Georgiadis, Michael C. .
APPLIED ENERGY, 2014, 115 :456-482
[10]  
Li J., 2005, WIND FORCE 12 CHINA