Joint Optimal Dispatching of CHP With Heat Storage and Wind Power Considering Demand Response and Environmental Protection Cost

被引:0
|
作者
Cui Y. [1 ]
Ji Y. [1 ]
Zhong W. [2 ]
Cui C. [3 ]
Xu B. [4 ]
Zhao Y. [1 ]
机构
[1] Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Northeast Electric Power University, Ministry of Education, Jilin, 132012, Jilin Province
[2] China Electric Power Research Institute, Haidian District, Beijing
[3] Sunite Right Power Supply Branch, Xilingol Electric Power Bureau, Inner Mongolia Power Group Co., Ltd., Xilingol, 011200, Inner Mongolia Autonomous Region
[4] Shenzhen Power Supply Co., Ltd., Shenzhen, 518001, Guangdong Province
来源
基金
中国国家自然科学基金;
关键词
Demand response; Environmental protection cost; Heat storage; Optimal dispatching; Wind power accommodation;
D O I
10.13335/j.1000-3673.pst.2019.0740
中图分类号
学科分类号
摘要
Clean pollution-free wind power is one of the key technologies to solve global energy crisis, but at the same time the problem of accommodation is also the main factor to restrict its development. A combined optimal dispatching model of combined heat and power (CHP) unit with heat storage and wind power is constructed considering demand response and environmental protection cost. The source side utilizes heat storage device to break the coupling constraint of "power determined by heat" of the CHP unit, and the load side is merged into demand response to adjust the users' electric load curve. By optimizing the output of each unit and the demand curve of electrical load, the wind power connected to the grid is increased and the emission of sulfur and nitrogen compounds is reduced. The model takes the minimum operation cost of the system as objective, comprehensively considers the environmental protection cost on the source side and the satisfaction degree of the users' electricity consumption on the load side, and solves it with CPLEX. Finally, IEEE 30-node system is taken as an example for analysis. The results of the example show that the model can ensure power quality of the users side while taking into account the operating cost of the power generation side, effectively promote wind power accommodation and reduce contaminant emissions. © 2020, Power System Technology Press. All right reserved.
引用
收藏
页码:655 / 663
页数:8
相关论文
共 17 条
  • [1] Zeng M., Yang Y., Liu D., Et al., Generation-grid-load-storage" coordinative optimal operation mode of energy internet and key technologies, Power System Technology, 40, 1, pp. 114-124, (2016)
  • [2] Lu W., Ma J., Chen J., Et al., Current situation and restriction bottleneck of development of wind power industry, Renewable Energy Resources, 36, 8, pp. 1214-1218, (2018)
  • [3] Shen G., Li C., Xu B., Et al., Economic allocation for energy storage system considering wind power, Journal of Northeast Electric Power University, 38, 4, pp. 27-34, (2018)
  • [4] Wind power grid-connected operation in the first three quarters of China in 2018, Solar Energy, 11, (2018)
  • [5] Wang X., Qiao Y., Lu Z., Et al., A novel method to assess wind energy usage in the heat-supplied season, Proceedings of the CSEE, 35, 9, pp. 2112-2119, (2015)
  • [6] Lyu Q., Chen T., Wang H., Et al., Analysis on peak-load regulation ability of cogeneration unit with heat accumulator, Automation of Electric Power Systems, 38, 11, pp. 34-41, (2014)
  • [7] Xu F., Min Y., Chen L., Et al., Combined electricity-heat operation system containing large capacity thermal energy storage, Proceedings of the CSEE, 34, 29, pp. 5063-5072, (2014)
  • [8] Chen L., Xu F., Wang X., Et al., Implementation and effect of thermal storage in improving wind power accommodation, Proceedings of the CSEE, 35, 17, pp. 4283-4290, (2015)
  • [9] Dai Y., Chen L., Min Y., Et al., Optimal dispatch for joint operation of wind farm and combined heat and power plant with thermal energy storage, Proceedings of the CSEE, 37, 12, (2017)
  • [10] Lyu Q., Li L., Zhu Q., Et al., Comparison of coal-saving effect and national economic indices of three feasible curtailed wind power accommodating strategies, Automation of Electric Power Systems, 39, 7, pp. 75-83, (2015)