一个电力系统三阶模型的混沌与控制
Chaos and Control of a Third-Order Power System Model
摘要: 研究了电力系统三阶模型的动力学行为和控制问题。利用现有的电力系统三阶数学模型进行了数值仿真,得到了对应的微分方程组的分岔图、Lyapunov指数图、相图等,进而分析了系统参数的变化对系统动力学行为产生的影响,得到了系统在一定条件下会随着系统参数的变化出现Hopf分岔现象和混沌现象,通过计算系统的向量场散度,验证了系统是耗散的,并计算了系统的分维数。在出现混沌时,利用李雅普诺夫稳定性理论,分别给出了自适应控制和非线性反馈控制两种控制方案,此外讨论了某些参数未知时控制器设计方案。通过构造Lyapunov函数在理论上证明了三种方案可以使系统达到渐近稳定。最后对三种控制方案进行了数值仿真。
Abstract: The dynamical behaviors and control problems are investigated in the third-order model of power system. The bifurcation diagram, Lyapunov exponential diagram and phase diagram of the corre-sponding differential equations are obtained by numerical simulation using the existing third-order mathematical model of power system. Furthermore, the influences of system parameters change on the dynamic behavior of the system are analyzed, and the Hopf bifurcation and chaos phenomena occur with the change of system parameters under certain conditions. By calculating the divergence of a vector field of the system, the dissipation of the system is obtained, and the fractal dimension of the system is calculated. When chaos appears, two control schemes of adaptive control and nonlinear feedback control are presented, respectively, to verify the proposed control schemes by using Lyapunov stability theory. In addition, the controller design scheme is discussed when some parameters are unknown. By constructing Lyapunov function, it is proved theoretically that three schemes can make the system asymptotically stable. Finally, three control schemes are simulated numerically.
文章引用:华存, 刘辉昭. 一个电力系统三阶模型的混沌与控制[J]. 动力系统与控制, 2019, 8(3): 191-204. https://doi.org/10.12677/DSC.2019.83021

参考文献

[1] Yu, Y., Jai, H.J., Li, P. and Su, J. (2003) Power System Instability and Chaos. Electric Power Systems Research, 65, 187-195.
[2] Ma, J.P., Sun, Y., Yuan, X.M., Kurths, J. and Zhan, M. (2016) Dynamics and Collapse in a Power Sys-tem Model with Voltage Variation: The Damping Effect. PLoS ONE, 11, e0165943.
[Google Scholar] [CrossRef] [PubMed]
[3] 王晓东, 陈予恕. 一类电力系统的分岔和奇异性分析[J]. 振动与冲击, 2014, 33(4): 1-6.
[4] Wei, D.Q. and Qin, Y.H. (2011) Controlling Chaos in Single-Machine-Infinite Bus Power System by Adaptive Passive Method. 2011 Fourth International Workshop on Chaos-Fractals Theories and Applications, Hangzhou, 19-22 October 2011, 295-297.
[Google Scholar] [CrossRef
[5] Wang, X.D., Chen, Y.S., Han, G. and Song, C. (2015) Nonlinear Dynamic Analysis of a Single-Machine Infinite-Bus Power System. Applied Mathematical Modelling, 39, 2951-2961.
[Google Scholar] [CrossRef
[6] Ma, M.L. and Min, F.H. (2015) Bifurcation Behavior and Coexisting Motions in a Time-Delayed Power System. Chinese Physics B, 24, Article ID: 030501.
[7] 唐梦雪. 电力系统低频振荡混沌机理与混沌控制研究[D]: [硕士学位论文]. 成都: 西南交通大学, 2018.
[8] 陈辉. 互联电力系统混沌特性分析与控制研究[D]: [硕士学位论文]. 合肥: 安徽大学, 2018.
[9] 闵富红, 马汉媛, 王耀达. 含功率扰动电力系统混沌振荡的动态滑模控制[J]. 通信学报, 2019, 40(1): 119-129.
[10] 张振, 刘艳红. 基于特征值的单机无穷大电力系统随机稳定性分析[J]. 郑州大学学报(工学版), 2018, 39(4): 58-63.
[11] Abed, E.H. and Varaiya, P.P. (1984) Nonlinear Oscillations in Power Systems. International Journal of Electrical Power & Energy Systems, 6, 37-43.
[Google Scholar] [CrossRef
[12] 王少夫. 电力系统混沌振荡分析及其自适应控制[D]: [硕士学位论文]. 南昌: 南昌大学信息工程学院电气自动化系, 2012.
[13] Liu, M.J. and Piao, Z.L. (2009) Study on Chaos Control for Nonlinear Power System. 2009 International Workshop on Intelligent Systems and Applications, Wuhan, 23-24 May 2009, 1-4.
[Google Scholar] [CrossRef
[14] 唐梦雪, 王奔, 朱龙. 电力系统混沌振荡的模糊趋近律滑模控制[J]. 电气自动化, 2019, 41(1): 53-55.
[15] 胡茗, 杨晓辉, 王毅. 基于鲁棒反演滑模法的电力系统混沌控制[J]. 电测与仪表, 2019, 56(3): 129-132+138.
[16] 孙元章, 焦晓红, 申铁龙. 电力系统非线性鲁棒控制[M]. 北京: 清华大学出版社, 2007: 92-140.
[17] Schmietendorf, K., Peinke, J., Friedrich, R. and Kamps, O. (2014) Self-Organized Synchronization and Voltage Stability in Networks of Synchronous Machines. The European Physical Journal Special Topics, 223, 2577-2592.
[Google Scholar] [CrossRef
[18] 黄苏海, 田立新. 一个新的四维超混沌系统的动力学分析及混沌反同步[J]. 电路与系统学报, 2011, 16(6): 66-74.
[19] 杜文举, 俞建宁, 张建刚, 张莉, 安新磊. 一个新四维混沌系统的Hopf分岔分析[J]. 温州大学学报(自然科学版), 2014, 35(1): 31-38.
[20] 刘熙娟, 陈多花. 一类三维自治混沌系统的动力学行为分析[J]. 贵州师范大学学报(自然科学版), 2015, 33(4): 55-61.