A multi-regional modelling and optimization approach to China's power generation and transmission planning

被引:64
作者
Guo, Zheng [1 ]
Ma, Linwei [1 ]
Liu, Pei [1 ]
Jones, Ian [2 ]
Li, Zheng [1 ]
机构
[1] Tsinghua Univ, 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 generation; Multi-regional modelling; Grid infrastructure; Power transmission; Ultra-high voltage lines; TECHNOLOGIES;
D O I
10.1016/j.energy.2016.06.035
中图分类号
O414.1 [热力学];
学科分类号
摘要
Power demand in China has increased rapidly in the past decade, and it is projected to grow even further. To gain insights into how this demand growth could optimally be met, addressing regional differences such as resource distribution and power demand, is crucial. For long-term planning purposes, using a multi-regional mathematical model that divides China's power sector into regions overcomes the limitations of viewing as a single network. Reflecting how inter-regional power transmission could best be utilized is critical in understanding how flows between regions could be optimised. In this paper, a multi regional model that reflects actual grid infrastructure with an objective function to maximize accumulated total profits gained by the power generation sector from 2013 to 2050 is proposed. A case study is provided to illustrate how inter-regional power transmission could influence the regional deployment of technologies under different policy scenarios. The results show that energy subsidies and national targets will remain important to the deployment of renewable energy in both the short and long term. In addition, potential downside implications of lower demand growth on the long-term prospects of long-distance inter-regional power transmission and options, such as more flexible electricity pricing mechanisms, to limit the effects are discussed. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1348 / 1359
页数:12
相关论文
共 37 条
[1]  
[Anonymous], 2014, CHIN NAT PLAN CLIM C
[2]  
[Anonymous], CHIN EN STAT YB 2014
[3]  
[Anonymous], 2015, CHIN STAT YB 2015
[4]  
[Anonymous], 2010, Projected Costs of Generating Electricity
[5]   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
[6]   Preliminary exploration on low-carbon technology roadmap of China's power sector [J].
Chen, Qixin ;
Kang, Chongqing ;
Xia, Qing ;
Guan, Dabo .
ENERGY, 2011, 36 (03) :1500-1512
[7]   A multi-region optimization planning model for China's power sector [J].
Cheng, Rui ;
Xu, Zhaofeng ;
Liu, Pei ;
Wang, Zhe ;
Li, Zheng ;
Jones, Ian .
APPLIED ENERGY, 2015, 137 :413-426
[8]  
China Electricity Council, 2009, COLL STAT INF CHIN P
[9]  
EBCEPY, 2011, CHIN EL POW YB 2011
[10]  
EBCEPY, 2012, CHIN EL POW YB 2012