Nonlinear Fuzzy Predictive Control of Hydro Turbine’s Governing System

WANG Bin, WANG Wu-hui, ZHANG Cheng, ZHU De-lan

Journal of Changjiang River Scientific Research Institute ›› 2016, Vol. 33 ›› Issue (12) : 148-152.

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Journal of Changjiang River Scientific Research Institute ›› 2016, Vol. 33 ›› Issue (12) : 148-152. DOI: 10.11988/ckyyb.20140999
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Nonlinear Fuzzy Predictive Control of Hydro Turbine’s Governing System

  • WANG Bin, WANG Wu-hui, ZHANG Cheng, ZHU De-lan
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Abstract

Nonlinear motion of hydro turbine’s governing system (HGS) will lead to unstability of the power units. In order to solve the problem, we study the stability control of HGS. Firstly, we establish a predictive model of HGS via the fuzzy linearization theory. Secondly, we design the fuzzy predictive controller for HGS. Finally, we use numerical simulations to verify the effectiveness of the proposed method. Results show that the method is effective with advantages such as small over-regulation amount and short transitive time, which is in favor of the stability of HGS. Finally, it can be referenced for stability governing of hydropower system in other projects.

Key words

hydro turbine’s governing system / stability / fuzzy / prediction model / predictive control

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WANG Bin, WANG Wu-hui, ZHANG Cheng, ZHU De-lan. Nonlinear Fuzzy Predictive Control of Hydro Turbine’s Governing System[J]. Journal of Changjiang River Scientific Research Institute. 2016, 33(12): 148-152 https://doi.org/10.11988/ckyyb.20140999

References

[1] 陈云华, 吴世勇, 马光文. 中国水电发展形势与展望[J]. 水力发电学报, 2013, 32(6): 1-4.
[2] PICO H V, MCCALLEY J D, ANGEL A, et al. Analysis of Very Low Frequency Oscillations in Hydro-dominant Power Systems Using Multi-unit Modeling [J]. IEEE Transactions on Power Systems, 2012, 27(4): 1906-1915.
[3] GOEL P K, SINGH B, MURTHY S S, et al. Isolated Wind-hydro Hybrid System Using Cage Generators and Battery Storage [J]. IEEE Transactions on Industrial Electronics, 2011, 58(4): 1141-1153.
[4] TAN W. Unified Tuning of PID Load Frequency Controller for Power Systems via IMC [J]. IEEE Transactions on Power Systems, 2010, 25(1): 341-350.
[5] CHEN Di-yi, DING Cong, MA Xiao-yi, et al. Nonlinear Dynamical Analysis of Hydro-turbine Governing System with a Surge Tank[J]. Applied Mathematical Modelling, 2013, 37(14/15): 7611-7623.
[6] ZENG Yun, ZhANG Li-xiang, GUO Ya-kun, et al. The Generalized Hamiltonian Model for the Shafting Transient Analysis of the Hydro Turbine Generating Sets [J]. Nonlinear Dynamics, 2014, 76(4): 1921-1933.
[7] 寇攀高, 周建中, 何耀耀, 等. 基于菌群-粒子群算法的水轮发电机组PID调速器参数优化 [J]. 中国电机工程学报, 2009, 29(26): 101-106.
[8] 凌代俭, 沈祖诒. 水轮机调节系统的非线性模型、PID控制及其Hopf分叉 [J]. 中国电机工程学报, 2005, 25(10): 97-101.
[9] 王 涛, 余向阳, 辛 华, 等. 基于协同进化算法的水轮机模糊PID调节系统模糊规则的研究 [J]. 水力发电学报, 2007, 26(2): 137-142.
[10]王 涛, 杨晓萍, 余向阳, 等. 基于神经网络的水轮机调节系统自抗扰控制 [J]. 水力发电学报, 2006, 25(3): 125-129.
[11]GAO Qing, LIU Lu, FENG Gang, et al. Universal Fuzzy Integral Sliding-mode Controllers Based on T-S Fuzzy Models [J]. IEEE Transactions on Fuzzy Systems, 2014, 22(2): 350-362.
[12]王 斌, 薛建议, 贺好艳, 等. 基于线性矩阵不等式的一类新羽翼倍增混沌分析与控制[J]. 物理学报, 2014, 63(21):39-52.
[13]李超顺, 周建中, 肖 汉, 等. 基于引力搜索模糊模型辨识的水电机组预测控制 [J].水力发电学报, 2013, 32(6): 272-277.
[14]凌代俭. 水轮机调节系统分岔与混沌特性的研究[D]. 南京: 河海大学, 2007.
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