Low-Carbon Economic Dispatch Considering Carbon Capture Unit and Demand Response Under Carbon Trading

被引:0
作者
Zhou, Renjun [1 ]
Li, Yishu [1 ]
Sun, Jiagan [1 ]
Zhang, Hao [2 ]
Liu, Duli [1 ]
机构
[1] Changsha Univ Sci & Technol, Sch Elect & Informat Engn, Smart Grids Operat & Control Key Lab, Changsha, Hunan, Peoples R China
[2] State Grid Chongqing Changshou Power Co, Chongqing, Peoples R China
来源
2016 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC) | 2016年
关键词
Carbon capture unit; Carbon price uncertainty; Carbon trading; Demand response; Low-Carbon Economic Dispatch;
D O I
暂无
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
The power system needs to coordinate the economic dispatch and the carbon emission under the carbon market. The CO2 emission characteristics of different generation resources are analyzed, then generation resources are divided into three categories: high, low and zero carbon emission. Considering the carbon capture unit and the demand response, the Low-Carbon Economic Dispatch model is established with carbon trading cost included in the objective function. To take the uncertainty of carbon price caused by multiple uncertain factors into consideration, a new low-carbon economic dispatch model is built, which uses Conditional Value-at-Risk(CVaR) method to recalculate the carbon trading cost. The YALMIP software is applied to solve the proposed model. The case studies show that low-carbon economic dispatch can improve the utilization of low-carbon and zero-carbon generation resources under carbon trading framework and the dispatch results are affected by the changes of carbon price greatly. Furthermore, with confidence level of carbon price uncertainty rising, the dispatch costs and carbon emissions increase accordingly.
引用
收藏
页码:1435 / 1439
页数:5
相关论文
共 11 条
  • [1] Adaptive Policy Design to Reduce Carbon Emissions: A System-of-Systems Perspective
    Agusdinata, Datu Buyung
    Dittmar, Lars
    [J]. IEEE SYSTEMS JOURNAL, 2009, 3 (04): : 509 - 519
  • [2] Benz E., 2006, PROBLEMS PERSPECTIVE, V4, P30
  • [3] Modeling the price dynamics of CO2 emission allowances
    Benz, Eva
    Trueck, Stefan
    [J]. ENERGY ECONOMICS, 2009, 31 (01) : 4 - 15
  • [4] Optimization of Carbon Capture Percentage for Technical and Economic Impact of Near-Term CCS Implementation at Coal-Fired Power Plants
    Hildebrand, Ashleigh N.
    Herzog, Howard J.
    [J]. GREENHOUSE GAS CONTROL TECHNOLOGIES 9, 2009, 1 (01): : 4135 - 4142
  • [5] Hong LJ, 2011, WINT SIMUL C PROC, P95, DOI 10.1109/WSC.2011.6147743
  • [6] Low-Carbon Power System Dispatch Incorporating Carbon Capture Power Plants
    Ji, Zhen
    Kang, Chongqing
    Chen, Qixin
    Xia, Qing
    Jiang, Changming
    Chen, Zhixu
    Xin, Jianbo
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2013, 28 (04) : 4615 - 4623
  • [7] Mayhorn E, 2012, 2012 IEEE POW EN, P1, DOI 10.1109/PESGM.2012.6345596
  • [8] Song Yuqian, 2013, P 2013 IEEE POWERTEC
  • [9] Planning for an electricity sector with carbon capture and storage - Case of the Netherlands
    van den Broek, Machteld
    Faaij, Andre
    Turkenbury, Wim
    [J]. INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2008, 2 (01) : 105 - 129
  • [10] Spinning Reserve Estimation in Microgrids
    Wang, M. Q.
    Gooi, H. B.
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2011, 26 (03) : 1164 - 1174