Power system oscillations and control: Classifications and PSSs’ design methods: A review

Obaid, Zeyad Assi; Cipcigan, Liana; Muhssin, Mazin T.

doi:10.1016/j.rser.2017.05.103

Cited by 66 publications

(9 citation statements)

References 107 publications

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“…Among which, interarea oscillations should be handled more cautiously than local oscillations because it can lead to generation failure [3]- [4]. Stability of power system depend on the operating conditions.…”

Section: Research Backgroundmentioning

confidence: 99%

Stability assessment using adaptive interval type-2 fuzzy sliding mode controlled power system stabilizer

Swain¹,

Ray²,

Jena³

et al. 2023

Soft Comput

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The low frequency electromechanical oscillations (LFEOs) in electric power system are because of weaker inter-ties, uncertainties, various faults and disturbances. These LFEOs (0.2-3 Hz.) are less in magnitude and are responsible for lower power transfer, increased losses and also threaten the stability of power system.An adaptive interval type-2 fuzzy sliding mode controlled power system stabilizer (AIT2FSMC-PSS) is presented to neutralize the LFEOs and enhance stability under uncertainties and external disturbances. The AIT2FSMC is a hybridization of type-2 fuzzy logic system (T2FLS) with conventional SMC to lower the chattering effect, enhance the robustness of reaching phase and improve system's performance. Here, T2FLS is used for estimating the unknown functions of SMC. A robust sliding surface is presented to keep the system in the desired plane and remain stable under disturbance conditions. A modified control law is proposed for selecting the control parameters and Lyapunov synthesis is used to make the error asymptotically converging to zero. The effectiveness of the AIT2FSMC-PSS is accessed in single and multimachine power systems subjected to various uncertainties and disturbances. Again, comparison of performance indices (PIs), Eigen values, damping ratios, oscillating frequencies, integral time absolute error (ITAE), figure of demerit (FD) and frequency domain plots like Bode, root locus and Nyquist plots are also analyzed to access the efficacy of the proposed stabilizer. The simulated responses, comparative study and frequency plots conform the supremacy of the proposed AIT2FSMC-PSS in suppressing the LFEOs with lesser settling characteristics, offer stable performance and assures transient stability of power system as compared to other stabilizers.

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Section: Research Backgroundmentioning

confidence: 99%

Stability assessment using adaptive interval type-2 fuzzy sliding mode controlled power system stabilizer

Swain¹,

Ray²,

Jena³

et al. 2023

Soft Comput

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“…In contrast, a small‐disturbance stability problem involves smaller disturbances such as slight load perturbations. This problem mainly occurs due to insufficient damping torque, eventually increasing the amplitude of rotor oscillations and contributing to electromechanical oscillations of various types 32 . These oscillations not only limit the power transfer capability of the transmission lines but can also jeopardize the stability of the interconnected system if not damped efficiently at early stages.…”

Section: Power System Stability Issues With Wind/pv Penetrationmentioning

confidence: 99%

A review of STATCOM control for stability enhancement of power systems with wind/ PV penetration: Existing research and future scope

Sadiq

Wang

Chung

et al. 2021

Int Trans Electr Energ Syst

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In recent years, the development of renewable energy sources (RESs) and their integration with the conventional power network have increased significantly. Due to the power grid transformation brought about by the large penetration of power electronics converter‐based RESs such as wind and solar photovoltaic (PV), the operation and control of the interconnected power system has become a challenging task with respect to sustaining its stability and reliability. Power systems are confronted by several new stability issues because the dynamic behavior of converter‐interfaced renewable sources differs from conventional generation. In this respect, static synchronous compensator (STATCOM), a shunt connected flexible AC transmission system (FACTS), is recognized as a fundamental solution for maintaining power system stability. This paper presents a thorough and state‐of‐the‐art review of STATCOM control in wind‐ and/or PV‐interfaced power systems for enhancing system performance by addressing key stability issues related to rotor angle stability, voltage stability, and resonance stability. A comprehensive analysis of various control techniques of STATCOM based on conventional, adaptive, nonlinear, predictive, robust, and coordinated control and soft computing techniques is provided. Furthermore, the function of the grid‐side converter of the wind/PV plant as a STATCOM is also evaluated. Finally, the shortcomings of existing research are highlighted, current control challenges are presented, and several topics for future research are suggested. This paper provides researchers the opportunity to consider the current state of research and develop new control schemes for STATCOM to further improve the stability of modern power grids.

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“…High-impedance weak grid systems and reductions in short-circuit power capabilities will transform the grid characteristics and may adversely affect the damping performance of the online PSS operation. Over the past couple of decades, advancements in machine learning algorithms and computing power have enabled researchers to explore automatic calibration of PSS parameters to changing grid conditions [2,3,15]. Moreover, [6] proposed two methods to enhance the smallsignal stability of a single-machine infinite bus (SMIB) system.…”

Section: Introductionmentioning

confidence: 99%

LSTM-based PSS Design for Modern Power Systems

Aleikish¹,

Øyvang²

2022

Linköping Electronic Conference Proceedings

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With the ever-increasing incorporation of wind and solar power in the electric power system, enhanced performance of classical bulk hydropower plants for robust operation of the power system is required. This current energy transition may cause a rapid increase in undesirable low-frequency oscillations (LFOs) in modern power system operations. A power system stabilizer (PSS) located at hydropower plants is one solution to damp such oscillations. This paper presents a new method based on Long Short-Term Memory (LSTM) neural networks for sine-wave phase shifting to possibly enhance PSS damping. The proposed controller considers the PSS input and the rotor speed deviation as a damped sinusoidal signal, simplifying PSS control and real-time optimization of PSSs parameters. Results show that the proposed LSTM architecture is able to learn multiple damped sine waves with different frequencies and decay rates. Therefore, the proposed controller can operate on the entire range of LFOs, unlike simple feedforward neural network (FNN) controllers, which can only learn and function on a single LFO frequency.

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Power system oscillations and control: Classifications and PSSs’ design methods: A review

Cited by 66 publications

References 107 publications

Stability assessment using adaptive interval type-2 fuzzy sliding mode controlled power system stabilizer

Stability assessment using adaptive interval type-2 fuzzy sliding mode controlled power system stabilizer

A review of STATCOM control for stability enhancement of power systems with wind/ PV penetration: Existing research and future scope

LSTM-based PSS Design for Modern Power Systems

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