Experimental Study on the Optimal Strategy for Power Regulation of Governing System of Hydropower Station

Wang, Dekuan; Zhang, Jianming

doi:10.3390/w13040421

Cited by 5 publications

(4 citation statements)

References 34 publications

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“…The controlled objects include a turbine system and a generator system. The governor of the regulating system mainly includes a regulator and an electro-hydraulic servo system, and the governor generally adopts the parallel PID form [54], [55], [56]. The composition of the turbine regulating system is shown in Fig 5.…”

Section: Application Of Mma In the Optimization Of Pid Parameters Of ...mentioning

confidence: 99%

An Improved Mayfly Optimization Algorithm Based on Median Position and Its Application in the Optimization of PID Parameters of Hydro-Turbine Governor

Guo

Yu³

et al. 2022

IEEE Access

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Mayfly algorithm is a new intelligent optimization algorithm with unique optimization capabilities recently proposed. It has strong research value, but there are also insufficient explorations, and it is easy to fall into the problem of local optimization. This paper aims to improve the optimization performance of the mayfly algorithm and explore its application value in practical engineering optimization problems. An improved mayfly algorithm based on the median position of the group is proposed. In its velocity update, the median position of the group is introduced with emphasis, and a non-linear gravity coefficient is introduced at the same time. Through the benchmark test function, its superiority in exploitation, convergence speed and accuracy and the improvement of exploration are verified. At the same time, the simulation model of the hydro-turbine governor using MATLAB/Simulink is established, and 10% frequency disturbance experiments of this model are carried out separately in two typical working conditions. The experiments results show that the optimal ITAE index value of the system obtained by the improved mayfly algorithm is smaller, and 16.5 and 18.1 iterations to complete on average. In addition, the experiments results reveal that the PID parameters optimized by the improved mayfly algorithm can make the dynamic performance of the regulation system better than other popular swarm intelligence algorithms, where the overshoot decreased by more than 3.1%, and the adjustment time also decreased in different degrees. The proposal of the median position of the group provides a new idea for the improvement of the swarm intelligence optimization algorithm. Meanwhile, a new effective method for optimizing the PID parameters of the hydro-turbine governor has been found.

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Section: Application Of Mma In the Optimization Of Pid Parameters Of ...mentioning

confidence: 99%

An Improved Mayfly Optimization Algorithm Based on Median Position and Its Application in the Optimization of PID Parameters of Hydro-Turbine Governor

Guo

Yu³

et al. 2022

IEEE Access

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“…The generated treatment for this numerical dilemma is adjusting the sonic velocity of the fluid in the pipe in a limited range. Thus, the lengths and sonic velocities of all the pipes in the PSPS system should be integrated into consideration for setting the time step of the entire system, 29 which is selected as 4.132 × 10 −4 s in this study.…”

Section: Computational Modelmentioning

confidence: 99%

Forced vibration analysis model for pumped storage power station based on the 1D–3D coupling and pipe walls vibration

Yang

Lian

Wang

et al. 2022

Earthquake Engineering and Resilience

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Hydraulic vibration is a common phenomenon in pumped storage power stations (PSPS) and hydropower plants. Evaluating the performance of the PSPS and water conveyance system under the hydraulic vibration condition is significant for the safety of the electric power and the PSPS system. In this study, the one‐dimensional (1D) and three‐dimensional (3D) coupling model for the entire PSPS system is established based on the open‐source software OpenFOAM and in‐house C++ codes. The coupling data exchange is realized by writing and reading files. The coupling model is validated by comparing the results with the pure 1D method under small load disturbance conditions. The forced vibration source is modeled by the pipe walls vibration method in the 3D region, and the 1D method takes charge of other parts in the PSPS system. The combination of the pipe walls vibration and 1D–3D coupling could fully consider the incident and reflected characteristics of the pressure waves. The established model could evaluate the overall performance of the PSPS system under forced vibration. Sensitive analysis of the vibration magnitude is carried out, and the results are consistent with the theoretical analysis, demonstrating that the established model is applicable for the forced vibration analysis.

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“…Frequency is closely related to the rotational speed of the generator and in hydropower plants, the hydraulic turbine governing system (HTGS) is used to regulate the rotational speed of the unit. The HTGS is a complex control system integrating hydraulic, mechanical, and electrical components [3][4][5]. Its primary task is to regulate the active power output of the hydro-generator set according to the constant change of the load of the power system, minimize the influence of environmental disturbance and load disturbance, and maintain the frequency of the set within the specified range, which plays an indispensable role in maintaining the safe, stable, and economic operation of the hydropower plant.…”

Section: Introductionmentioning

confidence: 99%

Optimized Takagi–Sugeno Fuzzy Mixed H2/H∞ Robust Controller Design Based on CPSOGSA Optimization Algorithm for Hydraulic Turbine Governing System

Qian

Zou

et al. 2022

Energies

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The hydraulic turbine governing system (HTGS) is a complex nonlinear system that regulates the rotational speed and power of a hydro-generator set. In this work, an incremental form of an HTGS nonlinear model was established and the Takagi–Sugeno (T-S) fuzzy linearization and mixed H2/H∞ robust control theory was applied to the design of an HTGS controller. A T-S fuzzy H2/H∞ controller for an HTGS based on modified hybrid particle swarm optimization and gravitational search algorithm integrated with chaotic maps (CPSOGSA) is proposed in this paper. The T-S fuzzy model of an HTGS that integrates multiple-state space equations was established by linearizing numerous equilibrium points. The linear matrix inequality (LMI) toolbox in MATLAB was used to solve the mixed H2/H∞ feedback coefficients using the CPSOGSA intelligent algorithm to optimize the weighting matrix in the process so that each mixed H2/H∞ feedback coefficients in the fuzzy control were optimized under the constraints to improve the performance of the controller. The simulation results show that this method allows the HTGS to perform well in suppressing system frequency deviations. In addition, the robustness of the method to system parameter variations is also verified.

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Experimental Study on the Optimal Strategy for Power Regulation of Governing System of Hydropower Station

Cited by 5 publications

References 34 publications

An Improved Mayfly Optimization Algorithm Based on Median Position and Its Application in the Optimization of PID Parameters of Hydro-Turbine Governor

An Improved Mayfly Optimization Algorithm Based on Median Position and Its Application in the Optimization of PID Parameters of Hydro-Turbine Governor

Forced vibration analysis model for pumped storage power station based on the 1D–3D coupling and pipe walls vibration

Optimized Takagi–Sugeno Fuzzy Mixed H2/H∞ Robust Controller Design Based on CPSOGSA Optimization Algorithm for Hydraulic Turbine Governing System

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