Multi-area power system with wind power and energy storage system load frequency control based on sliding model control

被引:0
|
作者
Mi Y. [1 ]
Hao X.-Z. [1 ]
Liu H.-Y. [1 ]
Zhang H.-Y. [1 ]
Li Z.-Q. [1 ]
Ji H.-P. [1 ]
机构
[1] School of Electric Power Engineering, Shanghai University of Electric Power, Shanghai
来源
Kongzhi yu Juece/Control and Decision | 2019年 / 34卷 / 02期
关键词
Energy storage system; Load frequency control; Parameter uncertainties; Sliding model controller; Time delay;
D O I
10.13195/j.kzyjc.2017.1009
中图分类号
学科分类号
摘要
In this paper, a multi-area interconnected power system load frequency control (LFC) model with a wind turbine and energy storage system (ESS) is established. Meanwhile, the system parameter uncertainties and the time delay of control channel in the ESS and traditional generator are considered. In order to improve the robustness of the power system and reduce the capacity of the ESS, a sliding model load frequency controller is designed for the LFC model with the wind turbine and ESS, and a coordination control strategy for the sliding model load frequency controller and ESS is proposed. The simulation result verifies that the proposed coordination control strategy can reduce the system frequency deviation and area control error effectively under the increase of new energy penetration and system load fluctuation, and decrease the capacity of the ESS, thus improve the economic performance of the power system. © 2019, Editorial Office of Control and Decision. All right reserved.
引用
收藏
页码:437 / 444
页数:7
相关论文
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  • [1] Dokopoulos P.S., Saramourtsis A.C., Bakirtzis A.G., Prediction and evaluation of the performance of wind-diesel energy systems, IEEE Trans on Energy Conversion, 11, 2, pp. 385-393, (1996)
  • [2] Hu Z.C., Xie X., Zhang F., Research on automatic generation control strategy incorporating energy storage resources, Proc of the CSEE, 29, 34, pp. 5080-5087, (2014)
  • [3] Hu Z.C., Xia R., Wu L.L., Joint operation optimization of wind-storage union with energy storage participating frequency regulation, Power System Technology, 40, 8, pp. 2251-2257, (2016)
  • [4] Ding D., Liu Z.Q., Yang S.L., Battery energy storage aid automatic generation control for load frequency control based on fuzzy control, Power System Protection and Control, 43, 8, pp. 81-87, (2015)
  • [5] Ni L.N., Luo J., Wang S.R., Frequency control of power system with wind power integration, Trans of China Electro Technical Society, 26, 1, pp. 235-241, (2011)
  • [6] Yousef H.A., Al-Kharusi K., Albadi M.H., Load frequency control of a multi-area power system: an adaptive fuzzy logic approach, IEEE Trans on Power System, 29, 4, pp. 1822-1830, (2014)
  • [7] Kuljaca O., Gadewadikar J., Selmic R.R., Adaptive neural network frequency control for thermo power generators power system, Int J of Robotics and Automatic, 26, 1, pp. 86-92, (2011)
  • [8] Muyeen S.M., Hasanien H.M., Tamura J., Reduction of frequency fluctuation for wind farm connected power systems by an adaptive artificial neural network controlled energy capacitor system, IET Renewable on Power Generation, 6, 4, pp. 226-235, (2012)
  • [9] Mi Y., Ma C., Fu Y., The design of sliding mode compensation controller in isolated wind-diesel hybrid power system based on sliding mode observer, Power System Technology, 41, 1, pp. 178-186, (2017)
  • [10] Mi Y., Fu Y., Li D.D., The sliding mode load frequency control for hybrid power system based on disturbance observe, Int J of Electrical Power and Energy System, 74, pp. 446-452, (2016)