A Comparative Study of the Z-N, Adaptation Law and PSO Methods of Tuning the PID Controller of a Synchronous Machine

Kasilingam, Gowrishankar; Pasupuleti, Jagadeesh

doi:10.15866/iremos.v7i6.4722

Cited by 4 publications

(4 citation statements)

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“…Figure number 4 depicts the SMIB system, which consists of an 11kV/132kV transformer and a 300MW generator. Tables 1 & 2 provides the system data and loading circumstances used for the analysis [16]- [17].…”

Section: System Under Considerationmentioning

confidence: 99%

“…The transmission line was subjected to various operating situations including base load, heavy load, ground fault, and 3-phase fault. According to the Transmission System Reliability Standard (TSRS Version 2, Edition 01, Jan 2006) of Tenaga Nasional Board (TNB), Malaysia, a problem enters the system at 0.01 s & it is released subsequently at 0.1 s [16]- [17], [19].…”

Section: System Under Considerationmentioning

confidence: 99%

“…conventional techniques like gradient optimization and eigenvalue assignment. To overcome the drawbacks of the conventional methodologies, such as being a time-consuming problem, the sluggish convergence problem, and the solution obtained may not be optimal, evolutionary algorithms have been presented, such as Genetic Algorithm (GA), PSO [15]- [17].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimal Design of Damping Control of Oscillations in Power System Using Power System Stabilizers with Novel Improved BBO Algorithm

Kasilingam

Pasupuleti

Kasirajan

et al. 2022

IJEEI

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Studies on power system stability are necessary for power network development & operation. Due to the great dimensionality and complexity of contemporary power systems, its significance has increased. The stability of an interconnected power system is seriously threatened by power system oscillation. Numerous strategies based on contemporary control theory, intelligent control, and optimization methods have been applied to the Power system stabilizers (PSSs) design problem recently. Each categorization contains a number of design techniques that increase the PSS's effectiveness and sturdiness in damping off low frequency vibrations. This work presents a new Modified and Improved Biogeography-Based Optimization (MIBBO) method to increase the optimization effectiveness of the usual Biogeography-Based Optimization (BBO) technique applied for the optimization of the parameters of the PSSs & Proportional Integral Derivative (PID) controller under the non-linear loading (NLL) conditions. The performance parameters which are obtained by the MIBBO based controller are compared with the results of normal BBO Method, Particle Swarm Optimization method (PSO) and Adaptation Law (AL) method. To justify the success and correctness of the proposed control approach, Matlab simulation results-based study of all the above-mentioned techniques is made and reported.

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Section: System Under Considerationmentioning

confidence: 99%

Section: System Under Considerationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Design of Damping Control of Oscillations in Power System Using Power System Stabilizers with Novel Improved BBO Algorithm

Kasilingam

Pasupuleti

Kasirajan

et al. 2022

IJEEI

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“…Due to simple implementation and robust performance, the PID controller is suggested to be a tuning-based PSS and widely used as feedback control [34]. The configuration of the controller, i.e., PSS deemed in this work, is exhibited in Fig.…”

Section: Adaptive Pid Power System Stabilizer Modelmentioning

confidence: 99%

Robust PID-PSS Design for Stability Improvment of Grid-Tied HydroTurbine Generator

Abubakr

Vasquez

Mahmoud

et al. 2021

2021 22nd International Middle East Power Systems Conference (MEPCON)

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Dynamic stability is considered a vital issue in modern power systems. In this work, a robust design is proposed for the stability improvement of grid-connected hydro-turbine generators using the adaptive concept-based Electro-Search optimizer (ESO). In this regard, we provide a dynamic stability analysis of a hydro-turbine generator located at the Aswan High Dam, where proportional integral-derivative power system stabilizer (PID-PSS) is examined for a single machine connected to the Egyptian power system (EPS). The PID controller is developed in the synchronized EPS to significantly mitigate lowfrequency oscillations due to various expected faults and undesirable operating conditions. Comprehensive simulation analysis is performed using Matlab/Simulink considering the synchronous machine rotor speed, mechanical and electrical output powers, field and terminal voltages. The operative performance of the introduced adaptive PID-PSS based ESO is assessed against the conventional system (i.e. without PSS) and system with standard PID-PSS under normal operating conditions where the effect of a 3-φ short-circuit fault is subjected at the grid bus. The findings prove that the proposed adaptive strategy can effectively maintain the dynamic stability of the main grid against fluctuations.

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Power system stabilizer optimization using BBO algorithm for a better damping of rotor oscillations owing to small disturbances

Kasilingam

Pasupuleti²,

Bharatiraja

et al. 2019

FME Transactions

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In a practical power system, the synchronous generators should cope with changes in both real and reactive power demand. In general, stabilization of real power variations is possible by rescheduling the operation of generators. To control the demand of the reactive power load, electric limits of the excitation loop is adjusted to initiate the reactive power of the network. In order to accelerate the reactive power delivery, a power system stabilizer (PSS) is connected to the generator through an exciter. We introduce here a latest biogeography-based optimization (BBO) algorithm to adjust PSS parameters for different operating conditions in order to improve the stability margin and the system damping. This is possible when the integral square error (ISE), which is the objective function, of the speed deviation in asynchronous machine intended to a range of turbulence is reduced. A relative comparative study is conducted between the algorithms such as BBO, particle swarm optimization (PSO) and the adaptation law based PSS on SMIB. The simulation results indicate that when compared to other available methods, the BBO algorithm damps out low-frequency oscillations in the synchronous machine rotor in an effective manner. Algorithms are simulated with the help of MATLAB®and Simulink®. Results obtained from simulations indicate that the recommended algorithm yields rapid convergence rate and improved dynamic performance; system stability, efficiency, dynamism and reliability are also improved.

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A Comparative Study of the Z-N, Adaptation Law and PSO Methods of Tuning the PID Controller of a Synchronous Machine

Cited by 4 publications

References 0 publications

Optimal Design of Damping Control of Oscillations in Power System Using Power System Stabilizers with Novel Improved BBO Algorithm

Optimal Design of Damping Control of Oscillations in Power System Using Power System Stabilizers with Novel Improved BBO Algorithm

Robust PID-PSS Design for Stability Improvment of Grid-Tied HydroTurbine Generator

Power system stabilizer optimization using BBO algorithm for a better damping of rotor oscillations owing to small disturbances

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