Event Triggering Based Robust Control of Load Frequency for Interconnected Power Grid with Wind Power

被引:0
|
作者
Yang C. [1 ,2 ]
Yao W. [1 ,2 ]
Wen J. [1 ,2 ]
机构
[1] School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan
[2] State Key Laboratory of Advanced Electromagnetic Engineering and Technology (Huazhong University of Science and Technology), Wuhan
基金
中国国家自然科学基金;
关键词
Communication network; Decentralized control; Event triggering; Load frequency control; Robust control; Wind power;
D O I
10.7500/AEPS20170928014
中图分类号
学科分类号
摘要
Wind power output has the characteristics of uncertainty and fluctuation, so the input power fluctuation caused by the wind power with high proportion brings bigger challenges to multi-area load frequency control. Considering the impact of prediction error of wind power on the load frequency control and the impact of open communication environment in the future on area control error transmission, a robust control strategy of load frequency based on event triggering communication is proposed to maintain the frequency stability of power system with wind power and reduce the network communication as much as possible. The load frequency control of a typical two-area system with wind power is taken as the simulation case. The simulation results show that compared with traditional proportional-integral controller, the robust controller based on event triggering communication can not only effectively guarantee l2 gain performance of frequency output under the fluctuation of wind power, but also reduce the communication times in the steady state, which has good frequency control performance. This work is supported by National Natural Science Foundation of China (No. 61703173) and National Key R&D Program of China (No. 2016YFB0900400). © 2018 Automation of Electric Power Systems Press.
引用
收藏
页码:57 / 64
页数:7
相关论文
共 24 条
  • [1] Tang Y., Wang Q., Ni M., Et al., Analysis of cyber attacks in cyber physical power system, Automation of Electric Power Systems, 40, 6, pp. 148-151, (2016)
  • [2] Han M., Cui J., Yao S., Et al., Frequency control characteristics for a power system with large amounts of wind power, Automation of Electric Power Systems, 32, 1, pp. 29-33, (2008)
  • [3] Sun H., Xu J., Sun Y., Et al., Active power optimization scheduling of wind farm based on mixed-integer linear programming, Automation of Electric Power Systems, 40, 22, pp. 27-33, (2016)
  • [4] Zhang L., Ye T., Xin Y., Et al., Problems and measures of power grid accommodating large scale wind power, Proceedings of the CSEE, 30, 25, pp. 1-9, (2010)
  • [5] Bevrani H.R., Fuzzy logic-based load-frequency control concerning high penetration of wind turbines, IEEE Systems Journal, 6, 1, pp. 173-180, (2012)
  • [6] Tang Y., He B.H., Inter-connected power system frequency stability with wind penetration by using fuzzy-GrHDP, IEEE Power & Energy Society General Meeting, (2017)
  • [7] Yang D., Cai G., Decentralized model predictive control based load frequency control for high wind power penetrated power systems, Proceedings of the CSEE, 35, 3, pp. 583-591, (2015)
  • [8] Liao X., Liu K., Wang N., Et al., Two-level hierarchical model predictive control for AGC of AC/DC interconnected power grid with wind power integration, Automation of Electric Power Systems, 42, 8, pp. 45-50, (2018)
  • [9] Wen S., Yu X., Zeng Z., Et al., Event-triggering load frequency control for multiarea power systems with communication delays, IEEE Transactions on Industrial Electronics, 63, 2, pp. 1308-1317, (2016)
  • [10] Singh V.P., Kishor N., Samuel P., Load frequency control with communication topology changes in smart grid, IEEE Transactions on Industrial Informatics, 12, 5, pp. 1943-1952, (2016)