Control strategy for suppressing power fluctuation of equivalent load in microgrids based on demand-side reservation and response

被引:0
|
作者
Wang J. [1 ]
Peng J. [1 ]
Duan J. [1 ]
Liu Z. [1 ]
Yuan S. [1 ]
Chao Q. [2 ]
机构
[1] Hengyang Power Supply Company, State Grid Hunan Electric Power Company, Hengyang
[2] School of Electrical Engineering, Xinjiang University, Urumqi
关键词
Controllable load; Demand-side reservation; Equivalent load; Microgrid; Water-storage heater;
D O I
10.7500/AEPS20160725012
中图分类号
学科分类号
摘要
The equivalent load is proposed as the total reference value of power generators with stable and controllable output in microgrids based on the difference between total load and combined wind-solar power. By reserving in the demand-side to energy management system (EMS), water-storage heater (WSH) group responses control signal to suppress power fluctuations of equivalent load in microgrids. Firstly, the equivalent load model and evaluation indicator based on reservation change frequency of combined wind-solar power are established, the feasibility analysis of WSH group in demand-side participating in energy management in a microgrid is conducted, temperature model of WSH group is set up by considering conduction energy, transposition energy and heating energy. Secondly, considering the time and amount of demand-side reservation water or conventional water, user active control and WSH temperature upper limit values, dynamic controllable WSH group is set up and it's reverse temperature value is calculated. According to sorted reverse temperature value, two process of cutting in standby WSH and cut out heating WSH are unified, thus a control strategy to suppress power fluctuations of equivalent load in microgrids is proposed based on demand-side reservation and WSH group response. Finally, by applying case data in an actual microgrid, the effectiveness of the control strategy is verified. © 2017 Automation of Electric Power Systems Press.
引用
收藏
页码:69 / 77
页数:8
相关论文
共 19 条
  • [1] Li Y., Zha X., Liu F., Oscillation suppression of multi-source DC microgrid with multiple constant-power loads, Electric Power Automation Equipment, 34, 3, pp. 40-46, (2014)
  • [2] Du W., Jiang Q., Hong L., Et al., Small signal analysis of multiple oscillation modes in a photovoltatic microgrid, Automation of Electric Power Systems, 38, 10, pp. 17-23, (2014)
  • [3] Wang C., Yu B., Xiao J., Et al., An energy storage system capacity optimization method for microgrid tie-line power flow stabilization, Automation of Electric Power Systems, 37, 3, pp. 12-17, (2013)
  • [4] Lin J., Sun Y.Z., Cheng L., Et al., Assessment of the power reduction of wind farms under extreme wind condition by a high resolution simulation model, Applied Energy, 96, pp. 21-32, (2012)
  • [5] Wang L., Wang S., Shi Y., Et al., Optimal operation of micro-grid considering energy storage system smoothing wind turbine and photovoltaic power fluctuations, Acta Energiae Solaris Sinica, 36, 1, pp. 227-235, (2015)
  • [6] Qin W., Liu X., Han X., Et al., An improved control strategy of automatic charging/discharging of energy storage system in DC microgrid, Power System Technology, 38, 7, pp. 1827-1834, (2014)
  • [7] Chen G., Qiu X., Lin W., Optimal load distribution of microgrid with energy storage system composed of vanadium redox flow battery, Power System Technology, 36, 5, pp. 85-91, (2012)
  • [8] Smith R., Meng K., Dong Z., Et al., Demand response: a strategy to address residential air-conditioning peak load in Australia, Journal of Modern Power Systems and Clean Energy, 1, 3, pp. 223-230, (2013)
  • [9] Callaway D., Hiskens I., Achieving controllability of electric loads, IEEE Trans on Energy Conversion, 24, 2, pp. 539-547, (2009)
  • [10] Huang K.Y., Huang Y.C., Integrating direct load control with interruptible load management to provide instantaneous reserves for ancillary services, IEEE Trans on Power Systems, 19, 3, pp. 1626-1634, (2003)