Load frequency controller with PI controller considering non-linearities and boiler dynamics

Bhanu, P; Bhushan, Chandra; Sujatha, K.; Venmathi, M.; Nalini, A.

doi:10.1049/cp.2011.0376

Cited by 8 publications

(5 citation statements)

References 3 publications

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“…As the original systems of the rectifier and inverter sides have the same frequency deviation under the control of FLC with optimal parameters, the zero-points and poles of the transfer function of the rectifier and inverter sides are similar in (12) and (13). As expressed in (14) and (15), the denominators of the transfer function of the rectifier and inverter sides are the same in the new system; their numerators and the numerators of the transfer function of the original system are the same too. The zero-points and poles of the transfer function of the rectifier and inverter sides are similar, and the frequency deviations of the rectifier and inverter sides are also similar.…”

Section: Change In Optimal Flc Parameters With System Capacitymentioning

confidence: 97%

“…The frequencies of the rectifier and inverter sides can be limited to a certain range with FLC [15,16]. Both sides of the asynchronous interconnected system have generators and loads, and are weak AC systems with a small moment of inertia during a black start.…”

Section: Model Of Flcmentioning

confidence: 99%

“…The frequency deviations of the AC system on the rectifier and inverter sides are expressed as follows: (13) As shown in Fig. 5b, when the system capacity of the non-load input side increases m times to the original and the system capacity of the load input side increases n times to the original, the FLC parameters become mK r , T r /m, mK i and T i /m, and the frequency deviation of the new system is calculated as expressed in (14) and (15).…”

Section: Change In Optimal Flc Parameters With System Capacitymentioning

confidence: 99%

See 2 more Smart Citations

Frequency regulation strategy based on variable‐parameter frequency limit control during black start

Xia

Lan

et al. 2018

IET Generation, Transmission & Distribution

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Section: Change In Optimal Flc Parameters With System Capacitymentioning

confidence: 97%

Section: Model Of Flcmentioning

confidence: 99%

Section: Change In Optimal Flc Parameters With System Capacitymentioning

confidence: 99%

See 1 more Smart Citation

Frequency regulation strategy based on variable‐parameter frequency limit control during black start

Xia

Lan

et al. 2018

IET Generation, Transmission & Distribution

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“…The PID Controller has three terms functionality (i.e., P, I and D controllers) covering treatment to both transient and steady-state responses. However, the PID and P controllers cannot yield sufficient control performance with the consideration of nonlinearities and boiler dynamics [28]. To overcome this problem, the PI controller has been employed for system control.…”

Section: Control Strategy and Problem Formulationmentioning

confidence: 99%

“…Therefore, the proposed coordinated control strategy is based on the PI controller in the EPS considering high-level RESs penetration and inherent nonlinearities. The PI controller has been validated to be remarkably effective in the regulating of a wide range of processes [7,28]. However, the PI controller suffers from a complicated process of parameters tuning-based trial and error method.…”

Section: Control Strategy and Problem Formulationmentioning

confidence: 99%

Optimized coordinated control of LFC and SMES to enhance frequency stability of a real multi-source power system considering high renewable energy penetration

Magdy

Shabib

Elbaset

et al. 2018

Prot Control Mod Power Syst

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With rapidly growing of Renewable Energy Sources (RESs) in renewable power systems, several disturbances influence on the power systems such as; lack of system inertia that results from replacing the synchronous generators with RESs and frequency/voltage fluctuations that resulting from the intermittent nature of the RESs. Hence, the modern power systems become more susceptible to the system instability than conventional power systems. Therefore, in this study, a new application of Superconducting Magnetic Energy Storage (SMES) (i.e., auxiliary Load Frequency Control (LFC)) has been integrated with the secondary frequency control (i.e., LFC) for frequency stability enhancement of the Egyptian Power System (EPS) due to high RESs penetration. Where, the coordinated control strategy is based on the PI controller that is optimally designed by the Particle Swarm Optimization (PSO) algorithm to minimize the frequency deviations of the EPS. The EPS includes both conventional generation units (i.e., non-reheat, reheat and hydraulic power plants) with inherent nonlinearities, and RESs (i.e., wind and solar energy). System modelling and simulation results are carried out using Matlab/ Simulink® software. The simulation results reveal the robustness of the proposed coordinated control strategy to preserve the system stability of the EPS with high penetration of RESs for different contingencies.

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HIL Test Verification of PDPI Control of Induction Generator‐Based Multi‐Rotor Wind Turbine Systems

Benbouhenni,

Yessef,

Bizon

et al. 2024

Energy Science & Engineering

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In this experimental study, a new technique is designed and presented for controlling the rotor side converter of an induction generator (IG) for multi‐rotor wind turbine (MRWT) systems. The direct power command (DPC) strategy is used to regulate the reactive and active power (Qs and Ps). DPC is characterized by several drawbacks, the most prominent of which are low durability, low current/power quality, and the use of power estimation. Therefore, a new PDPI (proportional‐derivative proportional‐integral) regulator is used as a suitable solution to overcome these shortcomings while maintaining simplicity, achieving a rapid dynamic response, and obtaining gains that characterize the DPC. The suggested DPC for controlling the IG inverter of an MRWT system uses two PDPI regulators and pulse width modulation (PWM) to create and generate the pulses necessary to run and regulate the IG inverter. First, the DPC‐PDPI‐PWM is verified in a MATLAB using different tests, and the characteristics of the DPC‐PDPI‐PWM is compared to that of DPC under different working conditions for a 1500 kW IG. Second, the validity of the simulated results is verified using the Hardware‐in‐the loop (HIL) test for the DPC‐PDPI‐PWM, and dSPACE 1104 is used for this purpose. The results demonstrate the effectiveness of the DPC‐PDPI‐PWM approach over DPC, as the harmonic distortion of the stream is minimized by 36.66%, 22.68%, and 33.33% in the three proposed tests. Also, the overshoot value of Ps was reduced compared to DPC by ratios estimated at 70.96%, 71.42%, and 70.31% in all tests. DPC‐PDPI‐PWM also reduces the steady‐state error of Qs compared to DPC by 68.33%, 58.82%, 67.90% in all tests performed. The experimental results confirm the numerical results, suggesting that the DPC‐PDPI‐PWM is a suitable solution in the field of command in the future.

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Load frequency controller with PI controller considering non-linearities and boiler dynamics

Cited by 8 publications

References 3 publications

Frequency regulation strategy based on variable‐parameter frequency limit control during black start

Frequency regulation strategy based on variable‐parameter frequency limit control during black start

Optimized coordinated control of LFC and SMES to enhance frequency stability of a real multi-source power system considering high renewable energy penetration

HIL Test Verification of PDPI Control of Induction Generator‐Based Multi‐Rotor Wind Turbine Systems

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