A modified two-degree of freedom-internal model control configuration for load frequency control of a single area power system

Sonker, Bheem; Kumar, Deepak; Samuel, Paulson

doi:10.3906/elk-1701-225

Cited by 12 publications

(3 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Let us consider a single-area power system model represented by following 3 rd order transfer function ( Tan, 2009;Tan, 2010;Farid et al, 2010;Saxena et al, 2013;Sonker et al, 2017 ) Calculate the Hankel singular values (HSV) of the dynamic system. The singular Hankel values measure each state's contribution to the input/output behaviour in state co-ordinates that equalize the inputto-state and output energy transfers.…”

Section: Examplementioning

confidence: 99%

Model Order Reduction by Using Improved Approximation Techniques

Suman¹,

Kumar²

2020

SJKFU

View full text Add to dashboard Cite

A simplified approach for model order reduction (MOR) is presented in this article using the balanced singular perturbation approximation (BSPA) approach applicable to large-scale linear dynamical (LSLD) systems. The reduced system was so designed to preserve complete parameters of the original system with reasonable accuracy, employing MOR. The approach is based on the retention of the dominant states of the system and comparatively less important once. The reduced system comes from the preservation of the dominant States (say "desirable states") of the original system and thus from stability to preservation. The key demerit of the Balanced Truncation approach is that the ROM steady-state values do not correspond with the higher-order systems. This drawback has been eliminated in the proposed approach, which leads to hybridization of balanced truncation and singular perturbation approximation into a novel reduction method without the loss of retaining its dynamic behaviour. The proposed approach has been tested on LSLD systems and the results obtained show the efficacy of the approach. The methodology presented has been tested on two typical numerical examples taken from the literature review, to examine the performance, precision and comparison with other available standard order reduction methods. both the quality and the presentation of the manuscript. I would like to thank my supervisor, Dr. Awadhesh Kumar, for the patience guidance, encouragement and advice, he has provided throughout my time as his student. I have been extremely lucky to have a supervisor who cared so much about my work and who responded to my questions and queries so promptly.

show abstract

Section: Examplementioning

confidence: 99%

Model Order Reduction by Using Improved Approximation Techniques

Suman¹,

Kumar²

2020

SJKFU

View full text Add to dashboard Cite

show abstract

“…Laurent Series was used to obtain the gain of the PID controller by expanding the controller transfer function. A FOPID controller to minimize the deviation in frequency of a single-area power system considering non-reheat, hydro and reheat turbines was investigated in [39] [40]. The effects of GRC and GDB nonlinearities on LFC of power systems with reheat, non-reheat and hydro turbines were investigated in [41]- [45], and an anti-windup scheme was added to the designed power system in order to retain the performance and stability of the system.…”

Section: Introductionmentioning

confidence: 99%

Modified Fractional Order PID Controller for Load Frequency Control of Four Area Thermal Power System

Saba¹,

Sikiru

Bello

et al. 2023

IJRCS

View full text Add to dashboard Cite

This paper presents the development of a modified Fractional Order Proportional Integral Derivative (FOPID) controller to mitigate frequency deviation in a four-area thermal power system. Change in load demand and noisy power system environment can cause frequency deviation. Reducing high-frequency deviation is very paramount in load frequency control. This is because large frequency deviation can cause the transmission line to be overloaded, which may damage transformers at the transmission level, damage mechanical devices at the generating stations and also damage consumer devices at the distribution level. The conventional PID has been widely used for this problem. However, the parameter values of the various generating units of the power system like generators, turbines and governors keep changing due to numerous on/off witching in the load side. As such, it is essential that the control strategy applied should have a good capability of handling uncertainties in the system parameters and good disturbance rejection. Fractional order PID controller is known to give a higher phase margin resulting in very good disturbance rejection, robustness to high-frequency noise and elimination of steady-state error. A four-area power system was designed, and FOPID was used as the supplementary controller to mitigate frequency deviation. Ant Lion Optimizer (ALO) algorithm was used to optimize the gains of the FOPID controller by minimizing Integral Square Error (ISE) as the objective function. Results obtained outperformed other designed methods available in the literature in terms of reducing frequency deviation, tie-line power deviation and area control error.

show abstract

“…A controller for LFC of power systems for single and multi-area cases was presented by [33], Laurent Series was used to obtain the gain of the PID controller by expanding controller transfer function. A FOPID controller to minimize the deviation in frequency of a single-area power system considering non-reheat, hydro and reheat turbines was investigated in [39,40]. The effects of GRC and GDB nonlinearities on LFC of power systems with reheat, nonreheat and hydro turbines was investigated in [41 -45], and an anti-windup scheme was added to the designed power system in order to retain the performance and stability of the system.…”

Section: Introductionmentioning

confidence: 99%

Load Frequency Control of One and Two Areas Power System Using Grasshopper Optimization Based Fractional Order PID Controller

Mohammed,

Dodo

2023

Control Syst. Optim. Lett.

View full text Add to dashboard Cite

In this paper, grasshopper optimization based fractional order PID controller for load frequency control of single and multi-area power system is presented. It is paramount to minimize large frequency deviation in power system control. Large frequency deviation occurs when the parameter values of the various generating units of the power system like generators, turbine and governors keeps changing due to numerous on/off witching in the load side. As such, for a more realistic study, nonlinearities and boiler dynamics has been introduced into the power system design and measures also put in place to mitigate large frequency deviation. This is because large frequency deviation can damage equipment at the generation level and the consumer devices at the distribution level. Anti-windup control will then be used to compensate the effects of the nonlinearities. The gain of the FOPID controller will be optimized using grasshopper optimization algorithm and objective function for minimization is the Integral Square Error (ISE). The Errors to be minimized are the summation of frequency deviation, tie-line power deviation and the area control errors. Simulations were carried out on the designed power system using MATLAB/Simulink and results obtained show a significant improvement in mitigating frequency deviation. However, the proposed method took a longer time to balance the generated power and load demand. This is because the proposed method considers boiler dynamics and nonlinearities in the power system designed and results were compared with other designed method for power system without nonlinearities.

show abstract

A modified two-degree of freedom-internal model control configuration for load frequency control of a single area power system

Cited by 12 publications

References 37 publications

Model Order Reduction by Using Improved Approximation Techniques

Model Order Reduction by Using Improved Approximation Techniques

Modified Fractional Order PID Controller for Load Frequency Control of Four Area Thermal Power System

Load Frequency Control of One and Two Areas Power System Using Grasshopper Optimization Based Fractional Order PID Controller

Contact Info

Product

Resources

About