A multi-region load dispatch model for the long-term optimum planning of China's electricity sector

被引:66
作者
Guo, Zheng [1 ]
Cheng, Rui [1 ]
Xu, Zhaofeng [1 ]
Liu, Pei [1 ]
Wang, Zhe [1 ]
Li, Zheng [1 ]
Jones, Ian [2 ]
Sun, Yong [3 ]
机构
[1] Tsinghua Univ, Dept Thermal Engn, State Key Lab Power Syst, Tsinghua BP Clean Energy Ctr, Beijing 100084, Peoples R China
[2] BP Plc, Sunbury On Thames, Middx, England
[3] State Grid Jilin Elect Power Co Ltd, Nanjing, Jilin, Peoples R China
关键词
Electricity generation; Power sector planning; Carbon capture and storage; Regional distribution; Load dispatch; Peak electricity demand regulation; Flexibility; Cap-and-trade; POWER-SYSTEM; OPTIMIZATION MODEL; OPTIMAL-DESIGN; ENERGY; INTEGRATION; MULTIPERIOD; OPERATION; STORAGE; CCS;
D O I
10.1016/j.apenergy.2016.10.132
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
Future development of China's electricity system will not only need to consider generation capacity needed to meet demand but also economic and flexible technologies to meet peak demand and integrate increasing volumes of intermittent renewable generation. This paper describes research in which a multi region dispatch model was established and analysis performed to gain insights into optimal choices for the development of China's electricity sector. The model reflected China's regional electricity demand profiles, its natural resource distribution, its inter-regional electricity transmission network, performance characteristics of different electricity generating technologies, and temporal electricity demand variations. The case study included a cap-and-trade carbon mitigation scheme to enable direct comparison with previous studies that lacked the temporal element considerations. The results highlighted the importance of considering even short-term temporal variations when planning the long-term development of electricity systems. They also demonstrated how Natural Gas Combined Cycle turbines (NGCC) are well suited to providing peak-demand regulation capability. Whilst, the analysis indicates that coal-fired plants are set to continue to play a significant role through out to 2050. The modelling also confirms the deployment of renewable energy in the long-term future and as a result the requirement of flexible generation to maintain stability and integrity. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:556 / 572
页数:17
相关论文
共 39 条
[1]   Design optimization model for the integration of renewable and nuclear energy in the United Arab Emirates' power system [J].
Almansoori, Ali ;
Betancourt-Torcat, Alberto .
APPLIED ENERGY, 2015, 148 :234-251
[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]   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
[5]   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
[6]  
China Electricity Council, 2009, COLL STAT INF CHIN P
[7]   Grid flexibility and storage required to achieve very high penetration of variable renewable electricity [J].
Denholm, Paul ;
Hand, Maureen .
ENERGY POLICY, 2011, 39 (03) :1817-1830
[8]  
DeST, DES SIM TOOLK
[9]   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
[10]  
Editorial Board of China Electric Power Yearbook, 2012, CHIN EL POW 2011