Imc Tuned Pid Governor Controller for Hydro Power Plant with Water Hammer Effect

a b s t r a c tIn this paper the power-frequency control of hydropower plants with long penstocks is addressed. In such configuration the effects of pressure waves cannot be neglected and therefore commonly used criteria for adjustment of PID governors would not be appropriate. A second-order P model of the turbine-penstock based on a lumped parameter approach is considered. A correction factor is introduced in order to approximate the model frequency response to the continuous case in the frequency interval of interest. Using this model, several criteria are analysed for adjusting the PI governor of a hydropower plant operating in an isolated system. Practical criteria for adjusting the PI governor are given. The results are applied to a real case of a small island where the objective is to achieve a generation 100% renewable (wind and hydro). Frequency control is supposed to be provided exclusively by the hydropower plant. It is verified that the usual criterion for tuning the PI controller of isolated hydro plants gives poor results. However, with the new proposed adjustment, the time response is considerably improved.

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“…The expression (17) is identified to (18) and the result is a fourth order equation system (19). The four unknown variables are a, b, d and T r .…”

Section: Double Real Pole Criterion (Drp)mentioning

confidence: 99%

Power-frequency control of hydropower plants with long penstocks in isolated systems with wind generation

et al. 2015

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“…This offers a huge advantage compared to the other two approaches discussed earlier, where instead of presuming that a trajectory belongs to a class of trajectories set up by an exogenous system, one is required to know complete information of the trajectories' past, present, and future time history. Due to this flexibility, the internal model-based approach is the best suited for dealing with scenarios that involve rejecting unknown disturbances as well as tracking unknown references [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Model-based control for second-order piezo actuator system with hysteresis in time-delay environment

Shome¹,

Jana²,

Mukherjee³

et al. 2021

Turkish Journal of Electrical Engineering and Computer Sciences

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Piezo actuated systems are promising solutions for precision positioning applications. In this paper, a piezoelectric actuator is modeled as a second-order system using the Dahl hysteresis model and the system parameters have been identified from experimental data. The modified internal model control (M-IMC) approach is presented, which not only improves control performance but also reduces associated controller hardware resources. System dead time is approximated using first-order Padé expansion and the proposed Smith predictor-based M-IMC for piezoelectric actuators is seen to offer satisfactory stable control response even for plants with large dead time. The control performance of the M-IMC has been examined for the piezo actuator system against different set point tracking inputs in the presence of a wide range of external disturbances such as plant parameter mismatch, white noise perturbation, and time delay.Simulation results depict the efficacy and versatility of M-IMC in terms of decreased overshoot and settling time compared to traditional IMC and PID designs.

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“…Fang et al introduced the particle swarm optimization method of controller tuning in water turbine frequency control [15]. In [16] an internal model control (IMC) tuned PID controller in comparison with Ziegler-Nichols and singular frequency based tuning was studied for frequency control of hydropower system with a water hammer effect. The design of a PID controller based on sensitivity margin specifications was introduced in [17], where the author proposed the controller with respect to sensitivity peak specification.…”

Section: Introductionmentioning

confidence: 99%

Modelling and Internal Fuzzy Model Power Control of a Francis Water Turbine

Nagode

Škrjanc

2014

Energies

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This paper presents dynamic modelling of a Francis turbine with a surge tank and the control of a hydro power plant (HPP). Non-linear and linear models include technical parameters and show high similarity to measurement data. Turbine power control with an internal model control (IMC) is proposed, based on a turbine fuzzy model. Considering appropriate control responses in the entire area of turbine power, the model parameters of the process are determined from a fuzzy model, which are further included in the internal model controller. The results are compared to a proportional-integral (PI) controller tuned with an integral absolute error (IAE) objective function, and show an improved response of internal model control.

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Imc Tuned Pid Governor Controller for Hydro Power Plant with Water Hammer Effect

Cited by 19 publications

References 9 publications

Power-frequency control of hydropower plants with long penstocks in isolated systems with wind generation

Power-frequency control of hydropower plants with long penstocks in isolated systems with wind generation

Model-based control for second-order piezo actuator system with hysteresis in time-delay environment

Modelling and Internal Fuzzy Model Power Control of a Francis Water Turbine

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