A Cost-Sharing Approach for Decentralized Electricity-Heat Operation With Renewables

被引:21
作者
Yang, Jingwei [1 ]
Botterud, Audun [2 ]
Zhang, Ning [1 ]
Lu, Yunqiang [3 ]
Kang, Chongqing [1 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
[2] MIT, Lab Informat & Decis Syst, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[3] State Grid Corp China, Beijing 100031, Peoples R China
基金
中国国家自然科学基金;
关键词
Pipelines; Cogeneration; Energy storage; Resistance heating; Power systems; Mathematical model; Multiple energy systems; electricity-heat coordination; combined heat and power; renewable energy; energy storage; STRATEGIC GENERATION INVESTMENT; WIND POWER;
D O I
10.1109/TSTE.2019.2943452
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Pipeline energy storage in district heating systems (DHSs) has great potential to improve electricity-heat coordination and promote the accommodation of renewables in power systems. However, under a decentralized operation scheme, the DHS operator may not have the motivation to utilize pipeline energy storage because it will lead to a rise in temperature and thus increase the system's overall heat loss. To address this challenge, this paper proposes a decentralized electricity-heat coordination framework by sharing part of the benefits of renewables accommodation from a power system to a DHS. A bilevel mathematical model is proposed for a policy designer to evaluate the effects of the proposed framework and determine the best sharing ratio between the two systems. An end-to-end DHS model is developed and used in the bilevel programming to consider pipeline energy storage with an explicit relationship between heat generation and demand. Finally, a case study justifies the effectiveness of the decentralized framework and proves that its performance is almost identical to the centralized power and heat dispatch framework.
引用
收藏
页码:1838 / 1847
页数:10
相关论文
共 32 条
[1]  
[Anonymous], 2016, REGULATION PLANNING
[2]  
[Anonymous], 2017, DISTR EN SYST CHIN O
[3]  
[Anonymous], 2018, 3 PART ACC DISTR HEA
[4]  
[Anonymous], 2015, ASS COSTS PERF CHAR
[5]  
B. M. C. of Development and Reform, NOT MOD HEAT SAL PRI
[6]  
B. M. C. of Urban Management, NOT MOD HEAT SAL PRI
[7]  
Bezanzon J., 2012, LANG NEXT
[8]  
Blanco I., 2018, ARXIV181010757
[9]   Modeling Carbon Emission Flow in Multiple Energy Systems [J].
Cheng, Yaohua ;
Zhang, Ning ;
Wang, Yi ;
Yang, Jingwei ;
Kang, Chongqing ;
Xia, Qing .
IEEE TRANSACTIONS ON SMART GRID, 2019, 10 (04) :3562-3574
[10]   Thermal Transients in District Heating Systems [J].
Chertkov, Michael ;
Novitsky, Nikolai N. .
ENERGY, 2019, 184 :22-33