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Journal articles on the topic 'Phillips-Heffron model'

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Published: 3 June 2025

Last updated: 13 July 2025

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Agrawal, Niharika, Faheem Ahmed Khan, and Mamatha Gowda. "Advanced Heffron-Phillips model for improving power system stability." International Journal of the Energy-Growth Nexus 1, no. 1 (2023): 63–89. http://dx.doi.org/10.1504/ijegn.2023.135299.

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TAN, Shulong, Hua GENG, and Geng YANG. "Phillips-Heffron model for current-controlled power electronic generation unit." Journal of Modern Power Systems and Clean Energy 6, no. 3 (2017): 582–94. http://dx.doi.org/10.1007/s40565-017-0312-1.

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Wang, H. F. "Phillips–Heffron model of power systems installed with STATCOM and applications." IEE Proceedings - Generation, Transmission and Distribution 146, no. 5 (1999): 521. http://dx.doi.org/10.1049/ip-gtd:19990333.

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Satya Dini, Hasna, and Rizki Pratama Putra. "Pengaturan Parameter Power System Stabilizer pada Pembangkit di Sistem IEEE 39 Bus." Jurnal Teknik: Media Pengembangan Ilmu dan Aplikasi Teknik 22, no. 1 (2023): 36–43. http://dx.doi.org/10.55893/jt.vol22no1.525.

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Semakin kompleksnya sebuah sistem kelistrikan menyebabkan permasalahan yang muncul menjadi semakin kompleks. Salah satu isu yang penting untuk dilakukan kajian adalah terkait kestabilan sistem, khususnya kestabilan sinyal kecil. Power System Stabilizer merupakan komponen dari sistem eksitasi pembangkit yang dapat memberikan solusi dari permasalahan kestabilan sinyal kecil jika dilakukan pengaturan yang tepat. Penelitian ini bertujuan untuk melakukan observasi parameter Power System Stabilizer untuk meningkatkan kestabilan sinyal kecil pada sistem IEEE 39 Bus. Power System Stabilizer dapat meningkatkan batas kestabilan sistem dengan melakukan redaman pada osilasi untuk rentang frekuensi 0.2-2.5 Hz. Dalam penentuan pembangkit yang memerlukan pemasangan Power System Stabilizer dilakukan pemodelan generator menggunakan model Heffron–Phillips dimana dalam menentukan generator yang perlu dipasang PSS digunakan perhitungan fakor partisipasi. Penentuan parameter PSS mejadi krusial dimana, dengan menganalisa batas-batas kestabilan dan proses iterasi nilai faktor penguatan, konstanta waktu, dan washout filter dapat ditentukan. Berdasarkan analisis modal didapatkan bahwa G10 memiliki partisipasi tinggi dalam moda yang tidak stabil sehingga diputuskan perlu dilakukan pemasangan PSS pada generator tersebut. Setelah dilakukan pemasangan PSS didapatkan faktor redaman yang dihasilkan oleh pemasangan PSS masih kurang dari 5%. Melalui penggunaan metoda Heffron–Phillips diperlukan adanya langkah tambahan optimasi tambahan sehingga penentuan parameter PSS dapat memberikan hasil yang lebih baik.

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Karrari, M., and O. P. Malik. "Identification of Heffron-Phillips model parameters for synchronous generators using online measurements." IEE Proceedings - Generation, Transmission and Distribution 151, no. 3 (2004): 313. http://dx.doi.org/10.1049/ip-gtd:20040275.

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Soliman, M., D. Westwick, and O. P. Malik. "Identification of Heffron–Phillips model parameters for synchronous generators operating in closed loop." IET Generation, Transmission & Distribution 2, no. 4 (2008): 530. http://dx.doi.org/10.1049/iet-gtd:20070405.

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Zahalan, Arizadayana, Noor Fazliana Fadzail, and Muhammad Irwanto Misrun. "Comparing the Performance of UPFC Damping Controller on Damping Low Frequency Oscillations." Applied Mechanics and Materials 793 (September 2015): 242–46. http://dx.doi.org/10.4028/www.scientific.net/amm.793.242.

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This paper compares the performance of UPFC damping controller (, and ) to damp Low Frequency Oscillations (LFO) in power system equipped with UPFC based on Fuzzy Logic Power System Stabilizer (UPFC based FLPSS). The power system model was developed using linearized model of Phillips-Heffron Single Machine Infinite Bus (SMIB) and simulated in Matlab Simulink. The ability of each controller to damp LFO present in the rotor speed was monitored when the system being perturbed by small disturbances. The results obtained shown that UPFC controller had better performance to damp LFO compared to the other UPFC damping controllers as it had the lowest overshoot and less settling time.

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Bhatti, T. S., and D. J. Hill. "A multimachine Heffron-Phillips model for power systems with frequency- and voltage-dependent loads." International Journal of Electrical Power & Energy Systems 12, no. 3 (1990): 171–82. http://dx.doi.org/10.1016/0142-0615(90)90030-f.

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Zaker, B., G. B. Gharehpetian, and M. Karrari. "Small signal equivalent model of synchronous generator-based grid-connected microgrid using improved Heffron-Phillips model." International Journal of Electrical Power & Energy Systems 108 (June 2019): 263–70. http://dx.doi.org/10.1016/j.ijepes.2019.01.016.

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Agrawal, Niharika, and Sheila Mahapatra. "ADVANCED HEFFRON-PHILLIPS MODEL FOR DAMPING OSCILLATIONS BASED ON WALRUS AND ENHANCED SNAKE OPTIMIZATION ALGORITHMS." Suranaree Journal of Science and Technology 31, no. 6 (2025): 010337(1–18). https://doi.org/10.55766/sujst-2024-06-e06027.

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A reliable, safe, and secure operation of power systems is essential for all-round development. Low-Frequency Oscillations (LFO) hamper the smooth operation of the system. This manuscript develops an Advanced Heffron-Phillips Model (AHPM) for damping oscillations based on a higher-order Synchronous Machine (SM) Model 1.1. The effectiveness of AHPM is compared for the system without any controller and with Power System Stabilizer (PSS) based on Walrus and Enhanced Snake Optimization Algorithms (ESOA) for three loading conditions. The best damping results are obtained with AHPM, including PSS based on ESOA. The damping ratios (98.60%, 94.50%, and 78.90%) for the three loading conditions obtained with ESOA are higher than with the Walrus algorithm. The settling time, undershoot, and overshoot are also less with ESOA. The simulation is performed with MATLAB R2020. The challenges associated with integrating renewable energy sources into the grid can be met by this AHPM due to better mathematical modelling. By using AHPM with PSS based on ESOA, a robust, secure, and reliable power system is created. Based on four novel strategies, the ESOA tuned the parameters of PSS and produced excellent damping results due to improved performance in terms of speed, accuracy, convergence, and optimization. The simulation can be carried out on multimachine power systems to demonstrate the effectiveness of optimization algorithms. The multi-objective function can be designed for improving stability.

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Fank, Daniel, and Herwig Renner. "Damping of inter-area oscillations by combining control strategies in hydropower plants." e & i Elektrotechnik und Informationstechnik 139, no. 1 (2021): 127–34. http://dx.doi.org/10.1007/s00502-021-00935-9.

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AbstractThis paper examines how the damping capability can be improved if inter-area oscillations occur by combining control strategies in hydropower plants. First, the control challenges of hydropower plants, such as the water hammer effect, are discussed. In a single-machine infinite bus system (SMIBS), the use of a Power System Stabilizer (PSS) in the generator excitation and in the governor control path as well as the combination of both strategies are examined for their effectiveness in terms of their damping capability. In addition, these results are compared with an optimal state space controller with an observer as a damping element. The Heffron-Phillips model is the design model for the PSS as well as for the model-based controller. The verification of the damping capability through the PSS variants is evaluated by using a three-machine model in the time domain and by using modal analysis.

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Franki, Vladimir, Alfredo Višković, and Vladimir Valentić. "Dynamic Stability Enhancement Through the Application of Stabilizers of Electromechanical Oscillations." Journal of Energy - Energija 70, no. 1 (2021): 14–21. http://dx.doi.org/10.37798/202170147.

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Power system dynamic stability is one of key issues system engineers face. Oscillations that regularly occur in the system, limit the transmission capability of the network. The need to study the stability of power systems has been increasingly growing along with the development of power systems and their grouping into large interconnections. The focus of this paper is determining the dynamic stability of a synchronous generator, and thus the power system, by applying the general theory of stability of dynamic systems. Furthermore, the procedure for the initial adjustment of the parameters of a conventional (IEEE3 type PSS1A) stabilizer of electromechanical oscillations is briefly described based on the frequency response analysis of a linear generator model also known as the Heffron-Phillips generator model.

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M. Hasan Modir Shanechi, Majid Oloo. "A Generalized Heffron-Phillips Model for Multi-Machine Power Systems with Voltage and Frequency Dependent Loads." Electric Power Components and Systems 29, no. 5 (2001): 389–404. http://dx.doi.org/10.1080/15325000151133523.

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Paul, Sourav, and Provas Roy. "Optimal Design of Power System Stabilizer Using a Novel Evolutionary Algorithm." International Journal of Energy Optimization and Engineering 7, no. 3 (2018): 24–46. http://dx.doi.org/10.4018/ijeoe.2018070102.

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In this article, an Oppositional Differential search algorithm (ODSA) is comprehensively developed and successfully applied for the optimal design of power system stabilizer (PSS) parameters which are added to the excitation system to dampen low frequency oscillation as it pertains to large power system. The effectiveness of the proposed method is examined and validated on a single machine infinite bus (SMIB) using the Heffron-Phillips model. The most important advantage of the proposed method is as it reaches toward the optimal solution without the optimal tuning of input parameters of the ODSA algorithm. In order to verify the effectiveness, the simulation was made for a wide range of loading conditions. The simulation results of the proposed ODSA are compared with those obtained by other techniques available in the recent literature to demonstrate the feasibility of the proposed algorithm.

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Guo, Xinran, Yuanchu Cheng, Jiada Wei, and Yitian Luo. "Stability Analysis of Different Regulation Modes of Hydropower Units." Energies 14, no. 7 (2021): 1933. http://dx.doi.org/10.3390/en14071933.

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The dynamic characteristics of hydropower unit governing systems considerably influence the stability of hydropower units and the connected power system. The dynamic performances of hydropower units with power regulation mode (PRM) and opening regulation mode (ORM) are different. This paper establishes a detailed linear model of a hydropower unit based on the Phillips–Heffron model. The damping characteristic and stability of two regulation modes with different water inertia time constants TW were analyzed. ORM tended to provide negative damping, while PRM often provided positive damping in the major parts of the frequency range within the normal frequency oscillations when TW was large. Eigenvalue analysis illustrated that PRM has better stability than ORM. To validate the analysis, a simulation under two typical faults WAS conducted based on a nonlinear model of a hydropower unit. The simulation results illustrated that the responses of units with PRM are more stable in terms of important operating parameters, such as output power, rotor speed, and power angles. For hydropower units facing challenges in stable operation, PRM is recommended to obtain good dynamic stability.

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Wei, Wei, Li Jie Ding, Ying Liu, and Hua Bo Shi. "The Coordination and Optimization Study of PSS Parameters of Multiple Generators." Advanced Materials Research 805-806 (September 2013): 805–10. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.805.

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For the parameter coordination and optimization of PSS in a multi-machine power system, this paper proposes a new method based on the Phillips-Heffron model to search the optimal install locations of PSS, which employs the sensitivity of the system eigenvalue to the PSS gain as the indicator of its install location, i.e. the larger this sensitivity is, the more the system damping can be improved effectively when the PSS is installed at the corresponding generator. Moreover, based on the block matrix theory and the Newton-Raphson iterative algorithm, the proposed method optimizes the parameters of multiple PSS, where the unknown parameters of each PSS is incorporated into the system state equations and solved by the Newton-Raphson iterative algorithm. Such a method takes the interaction among multiple PSS into account, so that the parameters of multiple PSS can be optimally coordinated. The proposed method is applied to the Sichuan Power Grid under different operating modes, and engineering practices shows that the proposed method is effective and robust.

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Mohammadzadeh, Behrouz, Reza Gholizadeh-Roshanagh, and Sajad Najafi Ravadanegh. "Optimal Designing of SSSC Based Supplementary Controller for LFO Damping of Power System Using COA." ECTI Transactions on Electrical Engineering, Electronics, and Communications 12, no. 2 (2014): 64–72. http://dx.doi.org/10.37936/ecti-eec.2014122.170827.

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In this study a linearized Heffron-Phillips model of a single machine power system installed with a static synchronous series compensator (SSSC) has been presented. The optimal selection of the parameters for the SSSC controller is converted to an optimization problem which is solved by recently developed cuckoo optimization algorithm (COA). COA, as a new evolutionary optimization algorithm, is used in multiple applications. This optimization algorithm has a strong ability to find the most optimistic results for dynamic stability improvement. The effectiveness of the proposed controller for damping low frequency oscillations (LFO) is tested to variations in system loading and results compared with particle swarm optimization (PSO). The results analysis reveals that COA minimized multi objective cost function and improved dynamic stability, better than PSO. Also, performance of proposed COA controller in 10 times run is the same as in 1 time run. In addition, designed COA based SSSC damping controller has an excellent capability in damping low frequency oscillations and enhances rapidly and greatly the dynamic stability of the power systems.

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Wang, H. F., and F. J. Swift. "Application of the Phillips-Heffron model in the analysis of the damping torque contribution to power systems by SVC damping control." International Journal of Electrical Power & Energy Systems 18, no. 5 (1996): 307–13. http://dx.doi.org/10.1016/0142-0615(95)00072-0.

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Arzeha, Nurul Aziah, Mohd Wazir Mustafa, and Rasyidah Mohamed Idris. "Lead Lag Controller of TCSC Optimized by Bees Algorithm for Damping Low Frequency Oscillation Enhancement in SMIB." Applied Mechanics and Materials 781 (August 2015): 374–78. http://dx.doi.org/10.4028/www.scientific.net/amm.781.374.

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Power system is often vulnerable to low frequency electromechanical oscillations due to the interconnected configuration. A common lead-lag controller is used for one of the FACTS devices known as Thyristor Controlled Series Compensator (TCSC) as supplementary controller for damping purpose in order to improve transient stability and power oscillation damping of the system. As Bees Algorithm (BA) optimized the parameters of the TCSC lead-lag controller, thus its named is TCSC-BALL. In this study, the optimization problem is formulated as a constrained optimization with the main objective is to move the system eigenvalues to the left as far as possible in order to improve the system stability. Then, the system is simulated in MATLAB by using The Phillips-Heffron model for single machine infinite bus (SMIB) with responses of increases in mechanical power at t=1 second. The performance is observed in terms of electromechanical eigenvalues position on s-plane and damping responses of low-frequency oscillations where the system implemented with the TCSC-BALL controller given better results as compared to the system without and with the inclusion of conventional Power System Stabilizer (CPSS).

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Arastou, A., H. Rabieyan, S. M. Hosseini, and M. Karrari. "Dynamic state and parameter estimation of the improved Heffron-Phillips model using a fast UKF-based algorithm and a novel rotor angle measurement approach." Electric Power Systems Research 209 (August 2022): 107983. http://dx.doi.org/10.1016/j.epsr.2022.107983.

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Yang, Mu, Xiaojie Wu, Dongsheng Yu, Maxwell Chiemeka Loveth, and Samson S. Yu. "An Optimized Power-Angle and Excitation Dual Loop Virtual Power System Stabilizer for Enhanced MMC-VSG Control and Low-Frequency Oscillation Suppression." Energies 17, no. 18 (2024): 4711. http://dx.doi.org/10.3390/en17184711.

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Modular Multilevel Converter Virtual Synchronous Generator (MMC-VSG) technology is gaining widespread attention for its ability to enhance the inertia and frequency stability of the power grid integrated with converter-interfaced renewable energy sources. However, the excitation voltage regulation in the MMC-VSG can generate equivalent negative damping torque and cause low-frequency oscillation problems similar to those in synchronous machines. This article aims to improve the system’s damping torque and minimize low-frequency oscillations by introducing a Virtual Power System Stabilizer (VPSS) into the power control loop. Building on the study of dynamic interactions between various control links of the MMC, this research establishes a reduced-order model (ROM) and a Phillips–Heffron state equation for the MMC-VSG single machine infinite bus system, using a hybrid modeling approach and a zero-pole truncation method. It also analyzes the mechanism of low-frequency oscillations in the MMC-VSG system through the damping torque method. The analysis reveals that the negative damping torque produced during the excitation voltage regulation process causes changes in the virtual power angle, which in turn increases the risk of low-frequency oscillation in the MMC-VSG. To address this issue, the article proposes an optimized control method for the MMC-VSG dual power loop architecture (power-angle/excitation) VPSS. This strategy compensates for the inadequate damping torque of a single loop VPSS and effectively suppresses low-frequency oscillations in the system.

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Ritonja, Jozef, Martin Petrun, Jernej Cernelic, Robert Brezovnik, and Bostjan Polajzer. "Analysis and Applicability of Heffron–Phillips Model." Elektronika ir Elektrotechnika 22, no. 4 (2017). https://doi.org/10.5755/j01.eieee.22.4.15905.

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In this paper, a non-linear 7th order dynamic model and a linearized 3rd order dynamic model of a synchronous generator connected to an infinite bus are presented and compared in details. Parameters and equations of the both models are explained and summarized. They represent a useful starting point for work in areas of synchronous generators' construction, analysis, control systems design and synthesis. Novelty of this work represents a detailed research of applicability of the linearized model in an entire operating range. Established theoretical conclusions were confirmed with numerical results. Restrictions of utilizing the linearized model are presented. On a basis of the analysis for the synchronous generators of different power, their applicability with feasibility and accuracy was evaluated by certain objective criteria.

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Khan, Faheem, Niharika Agrawal, and Mamatha Gowda. "Advanced Heffron-Phillips Model for Improving Power System Stability." International Journal of the Energy-Growth Nexus 1, no. 1 (2023). http://dx.doi.org/10.1504/ijegn.2023.10059201.

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Zaker, B., G. B. Gharehpetian, and N. Moaddabi. "Parameter Identification of Heffron-Phillips Model Considering AVR Using On Line Measurements Data." Renewable Energy and Power Quality Journal, April 2012, 739–44. http://dx.doi.org/10.24084/repqj12.470.

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Wang, Haixin, Yan Hao, Haiwen He, et al. "Influence mechanism and virtual power system stabiliser method of virtual synchronous generator for low‐frequency oscillation of power system." IET Energy Systems Integration, October 13, 2023. http://dx.doi.org/10.1049/esi2.12119.

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AbstractThe virtual synchronous generator (SG) (VSG) can not only enhance the inertia of the grid, but also introduce the oscillation characteristics of SG, which is easy to interact with the power angle of SG in the grid, and even produce low‐frequency oscillation (LFO). The authors first construct a two‐machine interconnected power system model containing VSG and traditional SG. The model is linearised to construct the state space equations to obtain the Phillips–Heffron model with VSG. The LFO path of action between VSG and SG is analysed. To reduce the negative damping torque provided by VSG to SG through this path, a virtual power system stabiliser (VPSS) is proposed and the controller parameters are adjusted according to the phase compensation method. Finally, the effectiveness of VPSS is verified by modal analysis and simulation comparison.

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U., Ramesh Babu, Vijay Kumar Reddy V., and Tara Kalyani S. "Design of Power System Stabilizer with Neuro-Fuzzy UPFC Controller." October 1, 2015. https://doi.org/10.5281/zenodo.1109786.

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The growth in the demand of electrical energy is leading to load on the Power system which increases the occurrence of frequent oscillations in the system. The reason for the oscillations is due to the lack of damping torque which is required to dominate the disturbances of Power system. By using FACT devices, such as Unified Power Flow Controller (UPFC) can control power flow, reduce sub-synchronous resonances and increase transient stability. Hence, UPFC is used to damp the oscillations occurred in Power system. This research focuses on adapting the neuro fuzzy controller for the UPFC design by connecting the infinite bus (SMIB - Single machine Infinite Bus) to a linearized model of synchronous machine (Heffron-Phillips) in the power system. This model gains the capability to improve the transient stability and to damp the oscillations of the system.

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A., S. P.Kanojia, and Dr.V.K.Chandrakar B. "Damping of Power System Oscillations by using coordinated tuning of POD and PSS with STATCOM." International Journal of Electrical, Electronic and Communication Sciences 2.0, no. 2 (2009). https://doi.org/10.5281/zenodo.1331153.

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Static synchronous compensator (STATCOM) is a shunt connected voltage source converter (VSC), which can affect rapid control of reactive flow in the transmission line by controlling the generated a.c. voltage. The main aim of the paper is to design a power system installed with a Static synchronous compensator (STATCOM) and demonstrates the application of the linearised Phillips-heffron model in analyzing the damping effect of the STATCOM to improve power system oscillation stability. The proposed PI controller is designed to coordinate two control inputs: Voltage of the injection bus and capacitor voltage of the STATCOM, to improve the Dynamic stability of a SMIB system .The power oscillations damping (POD) control and power system stabilizer (PSS) and their coordinated action with proposed controllers are tested. The simulation result shows that the proposed damping controllers provide satisfactory performance in terms of improvements of dynamic stability of the system.

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Lu, Shengyang, Meng Wu, Jia Liu, et al. "Low‐frequency oscillation damping strategy for power system based on virtual dual‐input power system stabilizer." IET Renewable Power Generation, December 7, 2024. https://doi.org/10.1049/rpg2.13174.

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AbstractTo keep pace with the construction of the new‐type power system, virtual synchronous generator control, as a classical method of virtual inertia control, has been widely adopted due to its electromechanical characteristics similar to synchronous generator. However, the introduction of rotor motion equations leads to low‐frequency oscillation issues in virtual synchronous generator units similar to synchronous machines. To address this challenge, this paper constructs the Phillips‐Heffron model of the virtual synchronous generator grid‐connected system and analyses the mechanism of low‐frequency oscillation in virtual synchronous generator through the damping torque method. Subsequently, a virtual dual‐input power system stabilizer is proposed by drawing inspiration from the design principles of the traditional dual‐input power system stabilizer to suppress low‐frequency oscillations in the power system. The structure of the virtual dual‐input power system stabilizer is provided, and the phase compensation method is used to optimize the parameters of the virtual dual‐input power system stabilizer. Finally, the effectiveness of the proposed virtual dual‐input power system stabilizer is verified by simulation comparison.

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Muthukumari, S., S. Kanagalakshmi, and TK Sunil Kumar. "Integer and fractional-order model matching controller design algorithm with generalized reference model formulation for nonlinear time delay servo and regulatory problems: A real-time validation." Transactions of the Institute of Measurement and Control, October 3, 2024. http://dx.doi.org/10.1177/01423312241273756.

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This article proposes a frequency domain-based approximate generalized time moment (AGTM)/approximate generalized Markov parameter (AGMP) matching approach to design integer and fractional-order controllers for servo and regulatory problems. Appropriate reference model selection, which is crucial in the model matching controller design method, is overcome by developing a novel generalized reference model formulation procedure that is applicable to servo and regulatory problems. The reference model formulation procedure is based on a linear quadratic regulator with an integral controller with the objective of infusing the desired performance requirements. AGTM/AGMP matching-based controller design approach is a two-stage process capable of handling time delay and saturation nonlinearity. In the first stage, the closed-loop system is equated with the reference model, which results in a synthesis equation for higher-order controller. In the second stage, a lower-order controller is designed based on the approximate matching of the lower-order controller with its higher-order counterpart at a set of real/complex/imaginary numbered expansion points in the s-plane. The competence of the proposed approach is explored by conducting simulations in both open-loop stable and unstable systems taken from the literature. Finally, experimental validation is performed on a real-time conical tank system for water level control and low-frequency oscillation damping in the Heffron–Phillips model, leveraging the Texas Instruments TMDSDOCK28379D experimenter kit to demonstrate the practical applicability of the proposed approach.

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Devarapalli, Ramesh, and Biplab Bhattacharyya. "Power and energy system oscillation damping using multi-verse optimization." SN Applied Sciences 3, no. 3 (2021). http://dx.doi.org/10.1007/s42452-021-04349-2.

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AbstractPower system oscillations are the primary threat to the stability of a modern power system which is interconnected and operates near to their transient and steady-state stability limits. Power system stabilizer (PSS) is the traditional controller to damp such oscillations, and flexible AC transmission system (FACTS) devices are advised for the improved damping performance. This paper suggests a technique for controller parameters tuning of PSS and a shunt connected FACTS device to be operated in coordination. A static synchronous compensator (STATCOM) connected in a two-machine system is considered as a test power system for the system studies. A recent meta-heuristic algorithm, Multi-Verse optimizer (MVO) has been suggested and compared with the other state-of-the-art algorithms. Improvement in system damping has been achieved by minimizing the oscillating nature of the system states by framing the objective function as a function of damping ratio and location of poles of the system. The Phillips-Heffron model of the test system has been designed by considering the system dynamics. The coordinated system behavior under the perturbation in system parameters has been observed satisfactory with the tuned controller parameters obtained from the suggested algorithm.

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Khadanga, Rajendra Kumar, Deepa Das, Sidhartha Panda, et al. "A Novel Modified Gorilla Troops Optimizer Algorithm for Interline Power Flow Controller-Based Damping Controller Design." Energy Exploration & Exploitation, December 23, 2024. https://doi.org/10.1177/01445987241307985.

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To stabilize frequency in a power system, this research study suggests a novel modified Gorilla Troops Optimizer (mGTO) technique, which builds on the original technique, and offers notable gains in effectiveness and efficiency when solving real-world optimization problems. A thorough comparative analysis reveals that the mGTO algorithm is the best option, outperforming its counterparts in terms of stability and overall performance. Interestingly, mGTO performs better than any of its competitors in terms of stability, making it the best option. The mGTO algorithm significantly reduces implementation time and enhances solution quality compared to the conventional GTO algorithm. A new linearized Phillips–Heffron model with an IPFC was developed to investigate power systems’ stability. To effectively dampen low-frequency oscillations, an auxiliary controller for modeling the IPFC is proposed. It provides four options for damping controllers, and the recommended mGTO algorithm is used to adjust the controller parameters. This method is superior to traditional controllers in stability control and has undergone extensive validation. It is a crucial instrument for controlling the frequency of an SMIB power system based on IPFC. Based on the simulation results, the updated strategy that has been suggested is the most effective way to define the mentioned damping controller by considering the percentage improvement in the goal function value.

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"96/05023 Application of the Phillips-Heffron model in the analysis of the damping torque contribution to power systems by SVC damping control." Fuel and Energy Abstracts 37, no. 5 (1996): 353. http://dx.doi.org/10.1016/0140-6701(96)89726-8.

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Sidhartha, Panda, and P. Padhy N. "Coordinated Design of TCSC Controller and PSS Employing Particle Swarm Optimization Technique." April 29, 2007. https://doi.org/10.5281/zenodo.1084336.

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This paper investigates the application of Particle Swarm Optimization (PSO) technique for coordinated design of a Power System Stabilizer (PSS) and a Thyristor Controlled Series Compensator (TCSC)-based controller to enhance the power system stability. The design problem of PSS and TCSC-based controllers is formulated as a time domain based optimization problem. PSO algorithm is employed to search for optimal controller parameters. By minimizing the time-domain based objective function, in which the deviation in the oscillatory rotor speed of the generator is involved; stability performance of the system is improved. To compare the capability of PSS and TCSC-based controller, both are designed independently first and then in a coordinated manner for individual and coordinated application. The proposed controllers are tested on a weakly connected power system. The eigenvalue analysis and non-linear simulation results are presented to show the effectiveness of the coordinated design approach over individual design. The simulation results show that the proposed controllers are effective in damping low frequency oscillations resulting from various small disturbances like change in mechanical power input and reference voltage setting.

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J., Ritonja. "Self-Tuning Power System Stabilizer Based on Recursive Least Square Identification and Linear Quadratic Regulator." September 1, 2016. https://doi.org/10.5281/zenodo.1127184.

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Available commercial applications of power system stabilizers assure optimal damping of synchronous generator’s oscillations only in a small part of operating range. Parameters of the power system stabilizer are usually tuned for the selected operating point. Extensive variations of the synchronous generator’s operation result in changed dynamic characteristics. This is the reason that the power system stabilizer tuned for the nominal operating point does not satisfy preferred damping in the overall operation area. The small-signal stability and the transient stability of the synchronous generators have represented an attractive problem for testing different concepts of the modern control theory. Of all the methods, the adaptive control has proved to be the most suitable for the design of the power system stabilizers. The adaptive control has been used in order to assure the optimal damping through the entire synchronous generator’s operating range. The use of the adaptive control is possible because the loading variations and consequently the variations of the synchronous generator’s dynamic characteristics are, in most cases, essentially slower than the adaptation mechanism. The paper shows the development and the application of the self-tuning power system stabilizer based on recursive least square identification method and linear quadratic regulator. Identification method is used to calculate the parameters of the Heffron-Phillips model of the synchronous generator. On the basis of the calculated parameters of the synchronous generator’s mathematical model, the synthesis of the linear quadratic regulator is carried-out. The identification and the synthesis are implemented on-line. In this way, the self-tuning power system stabilizer adapts to the different operating conditions. A purpose of this paper is to contribute to development of the more effective power system stabilizers, which would replace currently used linear stabilizers. The presented self-tuning power system stabilizer makes the tuning of the controller parameters easier and assures damping improvement in the complete operating range. The results of simulations and experiments show essential improvement of the synchronous generator’s damping and power system stability.

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Sidhartha, Panda, and P. Padhy N. "Comparison of Particle Swarm Optimization and Genetic Algorithm for TCSC-based Controller Design." March 20, 2007. https://doi.org/10.5281/zenodo.1082007.

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Recently, genetic algorithms (GA) and particle swarm optimization (PSO) technique have attracted considerable attention among various modern heuristic optimization techniques. Since the two approaches are supposed to find a solution to a given objective function but employ different strategies and computational effort, it is appropriate to compare their performance. This paper presents the application and performance comparison of PSO and GA optimization techniques, for Thyristor Controlled Series Compensator (TCSC)-based controller design. The design objective is to enhance the power system stability. The design problem of the FACTS-based controller is formulated as an optimization problem and both the PSO and GA optimization techniques are employed to search for optimal controller parameters. The performance of both optimization techniques in terms of computational time and convergence rate is compared. Further, the optimized controllers are tested on a weakly connected power system subjected to different disturbances, and their performance is compared with the conventional power system stabilizer (CPSS). The eigenvalue analysis and non-linear simulation results are presented and compared to show the effectiveness of both the techniques in designing a TCSC-based controller, to enhance power system stability.

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