Damping of low‐frequency oscillations using an SVC‐based supplementary controller

Hasanvand, Hamed; Zad, Bashir Bakhshideh; Mozafari, Babak; Feizifar, Behnam

doi:10.1002/tee.21895

Cited by 12 publications

(2 citation statements)

References 16 publications

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“…To calculate the size of installed SVC at bus 64, for a level of load, the PSO algorithm (Hasanvand et al, 2013) is utilized to minimize the introduced objective function in Farsangi et al (2007). The optimal size of SVC is calculated to be 48.74 Mvar.…”

Section: Application Examplementioning

confidence: 99%

Robust control of static Var compensator-based power oscillation dampers using polynomial control in power systems

Hasanvand¹,

Zamani²

2017

Transactions of the Institute of Measurement and Control

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A static Var compensator (SVC) installed in a power transmission network can be effectively exploited to enhance the damping of low frequency electromechanical oscillations. The application of robust control theory offers more reliable and robust damping controller to achieve desired damping level considering variations in the operating conditions of power system. This paper presents a new approach to design a robust proportional-integral (PI) controller for stabilizing power system oscillations. The variability in operating conditions is captured using an interval polynomial and then, Kharitonov’s theorem is used to design the desired damping controller. The proposed method is based on plotting the stability boundary locus in the ( kp-ki) plane and then computing the stabilizing values of the parameters of a PI controller. Besides stabilization, computation of stabilizing PI controllers that achieve user specified gain margin (Gm), phase margin (Pm) and bandwidth is studied simultaneously. This novel method enables designers to make the convenient trade-off between stability and performance by choosing the proper margins and bandwidth specifications. In addition, the most appropriate stabilizing input signal is selected using Hankel singular value (HSV) and right half plane-zeros (RHP-zeros) for the SVC-based supplementary damping controller. The effectiveness and robustness of the proposed controller are demonstrated using eigenvalue analysis and time-domain simulation for a 16 machine 68-bus test system. The simulations and analysis are implemented in matrix laboratory environment and power system analysis toolbox.

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Section: Application Examplementioning

confidence: 99%

Robust control of static Var compensator-based power oscillation dampers using polynomial control in power systems

Hasanvand¹,

Zamani²

2017

Transactions of the Institute of Measurement and Control

Self Cite

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“…In recent years, with the rapid development of computer technology, the application of fuzzy set theory to the area of automatic control has achieved rapid development. When it is difficult to acquire precise mathematical model for time-varying and nonlinear complex power system, the intelligent fuzzy control can achieve effective control (Abazari et al, 2018; Abolmasoumi and Moradi, 2018; Arya, 2018; Chakrabarti et al, 2017; Ghafouri et al, 2018; Haroun and Li, 2017; Hasanvand et al, 2013; Shokouhandeh and Jazaeri, 2018; Sabahi et al, 2017; Soliman and El Metwally Khaled, 2017). Hasanvand et al (2013) have investigated the optimal design of fuzzy logic controller (OFLC) and lead–lag controller (OLLC) based on the static Var compensator (SVC) in order to enhance power system transient stability.…”

Section: Introductionmentioning

confidence: 99%

Mitigation of low frequency oscillations in power systems based on Mamdani fuzzy inference

Gao

Zhan

Yuan

et al. 2019

Transactions of the Institute of Measurement and Control

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Several methods have been proposed and implemented to improve the power system stability. Based on the theory of proportional-integral-derivative (PID) excitation control and the composition principle of fuzzy PID controller, a novel PID controller based on Mamdani fuzzy inference (MFPID) is proposed in this paper. The proposed controller realizes the self-adjustment of the excitation controller parameter. Furthermore, the MFPID and power system stabilizer (PSS) subsection switch control strategy (MFPID-PSS) is presented based on the advantages of PSS and MFPID. In MFPID-PSS strategy, by switching the control strategy between MFPID and PSS at appropriate moment, the MFPID-PSS method acquires the overshoot as small as PSS, and at the same time acquires the adjusting time as short as MFPID. The simulation results demonstrate that the MFPID-PSS method improves the power system stability and has better mitigation effect for low frequency oscillations in power systems after disturbances.

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“Enhancing power system stability: an innovative approach using coordination of FOPID controller for PSS and SVC FACTS device with MFO algorithm”

Ibrahim,

El-said,

Attia

et al. 2023

Electr Eng

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This paper investigates an optimal methodology for mitigating low-frequency oscillation concerns in power systems. The study explores the synergistic integration of a power system stabilizer (PSS) and a flexible alternating current transmission system (FACTS) to formulate an intelligent controller. A comprehensive analysis encompasses various PSS design strategies, including lead-lag (LL), proportional-derivative-integral (PID), and fractional-order proportional-integral-derivative (FOPID) controllers. The FACTS device selected for this investigation is a static VAR compensator (SVC), highlighting the exceptional efficacy of FOPID-based PSS over alternative strategies with a power oscillation damper. The study extends its scope to encompass a comparative assessment of two distinct optimization algorithms: the moth flame optimization (MFO) and the antlion optimization (ALO). The research is conducted using a single-machine infinite bus power system (SMIB) as the case study platform. A total of four diverse test scenarios are executed under varying operating conditions. The evaluation of the developed method employs six distinct performance indices to investigate the developed controller thoroughly. The outcomes reveal that the MFO-optimized FOPID-PSS and SVC controller outperforms other control schemes. This optimized configuration demonstrates substantial improvements across all performance indices. These findings underscore the superior capabilities of the proposed approach in enhancing power system stability and performance.

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Damping of low‐frequency oscillations using an SVC‐based supplementary controller

Cited by 12 publications

References 16 publications

Robust control of static Var compensator-based power oscillation dampers using polynomial control in power systems

Robust control of static Var compensator-based power oscillation dampers using polynomial control in power systems

Mitigation of low frequency oscillations in power systems based on Mamdani fuzzy inference

“Enhancing power system stability: an innovative approach using coordination of FOPID controller for PSS and SVC FACTS device with MFO algorithm”

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