Wind power accommodation strategy of aggregated electric water heater based on CPS interaction frame

被引:0
|
作者
Liu X. [1 ]
Ye Q. [1 ]
Zeng L. [1 ]
Li B. [1 ]
Sun Y. [1 ]
Yang B. [2 ]
Ma Y. [1 ]
机构
[1] School of Electrical and Electronic Engineering, North China Electric Power University, Beijing
[2] State Grid Jiangsu Electric Power Company, Nanjing
关键词
CPS; Load control; Renewable energy accommodation; Thermostatically controlled load;
D O I
10.16081/j.issn.1006-6047.2019.07.002
中图分类号
学科分类号
摘要
It can effectively accommodate renewable energy by controlling the aggregated thermostatically controlled loads. Aiming at the problem of user comfort and energy consumption efficiency in the scene of smart aggregated thermostatically controlled loads accommodating renewable energy, a mapping model of typical thermostatically controlled load, i.e. EWH(Electric Water Heater) is proposed under the interaction frame of renewable energy accommodation based on cyber-physical system. On the premise of considering the perception of user behaviour information, a partition method of EWH group based on HRTR(Heat-Residual Time Ratio) and a control strategy of rene-wable energy accommodation with the consideration of partition difference are proposed. The simulation and comparison of different control strategies show that the proposed strategy can better accommodate renewable energy and ensure high user comfort. © 2019, Electric Power Automation Equipment Press. All right reserved.
引用
收藏
页码:7 / 14
页数:7
相关论文
共 22 条
  • [1] Zhu L., Chen N., Han H., Key problems and solutions of wind power accommodation, Automation of Electric Power Systems, 35, 22, pp. 29-34, (2011)
  • [2] Sun J., Tang S., Liu F., Et al., Modeling method and control strategy evaluation of electric water heater for demand response program, Proceedings of the CSU-EPSA, 28, 4, pp. 51-55, (2016)
  • [3] Li Y., Yao J., Yong T., Et al., Estimation approach to aggregated power and response potential of residential thermosta-tically controlled loads, Proceedings of the CSEE, 37, 19, pp. 20-28, (2017)
  • [4] Sun Y., Xu P., Shan B., Et al., Road map for "Internet plus" energy substitution in electricity retail market reform in China, Power System Technology, 40, 12, pp. 3648-3654, (2016)
  • [5] Wang D., Zeng Y., Mu Y., Et al., An optimization method for new energy utilization using thermostatically controlled appliances, Power System Technology, 39, 12, pp. 3457-3462, (2015)
  • [6] Li Q., Feng L., Xu Y., Et al., Accommodation mode of wind power based on water source heat pump technology, Automation of Electric Power Systems, 36, 17, pp. 25-27, (2012)
  • [7] Ai X., Zhao Y., Zhou S., Study on virtual energy storage features of air conditioning load direct load control, Proceedings of the CSEE, 36, 6, pp. 1596-1603, (2016)
  • [8] Xu Z., Diao R., Lu S., Et al., Modeling of electric water heaters for demand response: a baseline PDE model, IEEE Transactions on Smart Grid, 5, 5, pp. 2203-2210, (2014)
  • [9] Diao R., Lu S., Elizondo M., Et al., Electric water heater modeling and control strategies for demand response, Power and Energy Society General Meeting, pp. 1-8, (2012)
  • [10] Bashash S., Fathy H.K., Modeling and control of aggregate air conditioning loads for robust renewable power management, IEEE Transactions on Control Systems Technology, 21, 4, pp. 1318-1327, (2013)