Fuzzy immune sliding mode control based hydro turbine governor

Yu, Xiangyang; Yang, Feng; Huang, Yih; Nan, Haipeng

doi:10.1109/icnc.2007.394

Cited by 13 publications

(12 citation statements)

References 10 publications

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“…A hydro governing system based on fuzzy logic is presented in [13], where it is compared to a PID governor showing an improvement in the settling time and the overshoot. Another fuzzy proposal is compared to slide mode control for the performance improvement of a hydro governing system in [14].…”

Section: Introductionmentioning

confidence: 99%

A network control system for hydro plants to counteract the non-synchronous generation integration

Chamorro

Sanchez

Pantoja

et al. 2019

International Journal of Electrical Power & Energy Systems

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Sweden is a country with abundant hydro power and has expectations to include more renewable energy sources, namely from wind power, into its electrical system. Currently, in order to improve the frequency response requirements of its electrical system, the country is considering upgrading its hydro-governors. This effort is part of maintaining the system frequency and reaction within their limits following any disturbance events. To partially compensate for increased frequency fluctuations due to an increased share of renewables on its system, the frequency response of hydro-governors should be improved. This paper proposes an innovative network control system, through a supplementary control, for the improvement of the hydro-governor's action. This supplementary control allows having more flexibility over the control action and improves the primary frequency control, and thereby the overall system frequency response. The proposed supplementary control, based on an evolutionary game theory strategy, uses remote measurements and a hierarchical dynamic adjustment of the control. Additionally, in order to guarantee an optimal response, a Simulated Annealing algorithm is combined with the supplementary control. This paper illustrates the analysis and design of the proposed methodology, and is tested on two power systems models: (i) an aggregated model that represents the frequency response of Sweden, Norway and Finland, and (ii) The Nordic 32 test system.

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Section: Introductionmentioning

confidence: 99%

A network control system for hydro plants to counteract the non-synchronous generation integration

Chamorro

Sanchez

Pantoja

et al. 2019

International Journal of Electrical Power & Energy Systems

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“…In [11], a fuzzy-PID controller is designed to improve control quality of HTGS. In [12], the sliding mode variable structure control strategy led to HTGS which has better robustness and adaptability than PID controller. In [13], a new adaptive inverse control method based on the learning characteristic of neural network was proposed for HTGS to improve the dynamic and stationary performance.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Optimal Control for Hydraulic Turbine Governing System Based on an Improved MOGWO Algorithm

Xia

et al. 2019

Complexity

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Hydraulic turbine governing system (HTGS) is essential equipment which regulates frequency and power of the power grids. In previous studies, optimal control of HTGS is always aiming at one single operation condition. The variation of operation conditions of HTGS is seldom considered. In this paper, multiobjective optimal function is proposed for HTGS under multiple operation conditions. In order to optimize the solution to the multiobjective problems, a novel multiobjective grey wolf optimizer algorithm with searching factor (sMOGWO) is also proposed with two improvements: adding searching step to search more no-domain solutions nearby the wolves and adjusting control parameters to keep exploration ability in later period. At first, the searching ability of the sMOGWO has been verified on several UF test problems by statistical analysis. And then, the sMOGWO is applied to optimize the solutions of the multiobjective problems of HTGS, while different algorithms are employed for comparison. The experimental results indicate that the sMOGWO is more effective algorithm and improves the control quality of the HTGS under multiple operation conditions.

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“…In the present work, a linearized non-minimum phase process model is constructed following the article of Khodabakhshian et al [1]. Various robust control design technique such as, "H-infinity " [2], "Sliding Mode Control" [3], "Fuzzy logic control " [4]have been applied recently to handle such problems. In article [1] Khodabakhshian et al have presented a robust PID controller design method considering a NMP Hydro turbine plant cascaded with an uncertain Load machine dynamic model and subjected to external disturbances due sudden change in load.…”

Section: Introductionmentioning

confidence: 99%

Fractional order QFT controller for non-minimum phase hydro power plant

Xue

2012

2012 24th Chinese Control and Decision Conference (CCDC)

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This paper presents a robust fractional order controller for non-minimum phase hydro power plants using quantitative feedback theory (QFT) based on automatic loop-shaping. In this work, a fractional-order compensator, with a flexible controller structure, is introduced into the QFT design to give a better approximation of optimum open loop in Nichols. It has been demonstrated that the fractional order controller can provide smaller high frequency gain than the integer order controller due to its extra tunable parameters.

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Fuzzy immune sliding mode control based hydro turbine governor

Cited by 13 publications

References 10 publications

A network control system for hydro plants to counteract the non-synchronous generation integration

A network control system for hydro plants to counteract the non-synchronous generation integration

Multiobjective Optimal Control for Hydraulic Turbine Governing System Based on an Improved MOGWO Algorithm

Fractional order QFT controller for non-minimum phase hydro power plant

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