Low-Carbon Economic Dispatch considering carbon capture unit and demand response under carbon trading

Author(s):  
Renjun Zhou ◽  
Yishu Li ◽  
Jiagan Sun ◽  
Hao Zhang ◽  
Duli Liu
2018 ◽  
Vol 210 ◽  
pp. 1219-1228 ◽  
Author(s):  
Xue Li ◽  
Rufeng Zhang ◽  
Linquan Bai ◽  
Guoqing Li ◽  
Tao Jiang ◽  
...  

Author(s):  
Xinghua Liu ◽  
Xiang Li ◽  
Jiaqiang Tian ◽  
Hui Cao

The carbon capture device can catch CO2 produced by conventional units and coupled with power-to-gas (P2G) operation provides an effective way to reduce the carbon emissions of the integrated energy system (IES). In this paper, a low-carbon economic dispatch is proposed for an integrated electricity-gas system (IEGS) considering carbon capture devices, and the carbon trading mechanism is introduced. Based on the traditional thermal power units, carbon capture devices are installed to form carbon capture power plants (CCPP). Carbon emissions are reduced from the energy supply side via capturing CO2 generated by conventional units. Detailed modeling of IEGS, CCPP, and P2G are performed, respectively. The electricity and natural gas networks security constraints are incorporated into the low-carbon economic dispatch model to minimize carbon transaction costs and system operation costs. Finally, a 4-bus power system/4-node natural gas system is used, for example, analysis. The arithmetic simulation is performed by the YALMIP toolbox of MATLAB. The total costs and CO2 emissions of the three scenarios are compared. The feasibility and validity of the proposed model are verified by the simulated results.


2013 ◽  
Vol 341-342 ◽  
pp. 1223-1228
Author(s):  
Jia Qing Zhong ◽  
Zhi Gang Lu ◽  
Ke Ke Yan

With the increasing development of clean energy technologies, the application of new energy and carbon capture technology would have a positive effect for CO2 emissions reduction. In this paper, planning of power system model including clean energy technology facing low carbon targets established, considering the carbon emission rights allocation and carbon trading. By studying coal-fired power plant planning model with wind power and carbon capture technology for the future planning period, establish the multi-objective model of minimum comprehensive cost and biggest carbon trading gains, considering constraint conditions of power generating capacity, wind power integrated capacity and carbon emissions reduction targets. Use the bacterial colony chemotaxis algorithm for optimization calculation of the power planning, to give a planning scheme that can meet the requirements of economic development trend and emission reducing requirements.


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