A Recent Review on Approaches to Design Power System Stabilizers: Status, Challenges and Future Scope

Sarkar, Devesh Umesh; Prakash, Tapan

doi:10.1109/access.2023.3244687

Cited by 9 publications

(7 citation statements)

References 111 publications

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“…Furthermore, the static synchronous compensator (STATCOM), static VAR compensator (SVC), and thyristor controlled series capacitor (TCSC) provide a better response for the stable operation of the system. There is also another traditional lead-lag-based PSS for improving the stability of the entire system (Sarkar and Prakash, 2023). The dynamic stability in terms of damping and uncertainties in the modern power system is improved by the robust design controllers.…”

Section: Literature Surveymentioning

confidence: 99%

Simultaneous Damping and Frequency Control in AC Microgrid Using Coordinated Control Considering Time Delay and Noise

Arora,

Bhadu,

Kumar

2024

Transactions of the Institute of Measurement and Control

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The incorporation of converter-based generating sources in utility-scale microgrids causes frequency instability and low-frequency oscillations (LFOs), which is also a reason for degeneration in system stability. Damping frequency control is an essential part of alternating current (AC) microgrid system operation and control. Sudden changes in load, variations in renewable power outputs due to changes in solar insolation or wind speed, and so on factors cause the system frequency to deviate from the nominal value. Therefore, the role of a frequency controller is to maintain the dynamic stability in an AC microgrid by retaining the system frequency at the nominal value. Again, AC microgrids with high renewable power penetration face even more difficulty in maintaining frequency stability because of their poor inertial response. The research presented here proposes a novel approach for grid-connected AC microgrid oscillation damping and frequency control that simultaneously takes into consideration time delay and noise. To improve the frequency response and dampen LFOs by providing the voltage and frequency within the specified range, a coordinated technique-based control approach is adopted. In the developed hybrid control, the frequency controller relies on active power modulation, while the power oscillation damping controller is dependent on reactive power modulation. To improve stability and reduce communication consequences such as noise and signal latency (time delay), the developed power oscillation damping controller and frequency controller are coordinated along with the robust linear quadratic Gaussian controller. The comparative investigation of the effectiveness of the coordinated control technique is employed in the software of MATLAB/Simulink for grid-connected AC microgrid. The outcome of the simulation illustrates the superior effectiveness of the suggested controller over the traditional droop controller for huge power flows under disturbance with various operating conditions, under/overfrequency events, time delay, and noise. This grid encouragement capability for AC microgrids is anticipated to lead to novel possibilities for generating revenue.

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Section: Literature Surveymentioning

confidence: 99%

Simultaneous Damping and Frequency Control in AC Microgrid Using Coordinated Control Considering Time Delay and Noise

Arora,

Bhadu,

Kumar

2024

Transactions of the Institute of Measurement and Control

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“…Compared to other well-known metaheuristic algorithms like GA and PSO. BA has demonstrated superior performance 37 , 38 . The paper presented in 39 used BA to optimize the parameters of gain and pole-zero of a PSS for a small power system model.…”

Section: Introductionmentioning

confidence: 99%

Improved chaotic Bat algorithm for optimal coordinated tuning of power system stabilizers for multimachine power system

Tadj,

Chaib,

Choucha

et al. 2024

Sci Rep

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Power systems exhibit nonlinearity. causing dynamic instability and complex power oscillations. This research proposes an innovative strategy using the Novel Bat Algorithm (NBA) to achieve ideal Power System Stabilizers (PSSs) in a multimachine power system. The approach shifts electromechanical modes to specific areas in the s-plane. Enhancing the multi-machine power system and establishing stabilizer parameters for dynamic performance. The study examines the designed approach aptitude for standard lead-lag PSSs configurations. In order to elevate the global search problem and transfer some static operators for the optimum optimization process. the chaos mapping. also known as CNBA. is introduced into NBA. Four different forms of chaos maps are compared in experiments to resolve unconstrained mathematical issues in order to illustrate CNBA performance. In any other case. the challenge of designing PSS under a wide range of loading situations is transformed into an optimization challenge with the damping ratio of electromechanical modes with low damping as the target function. The optimal stabilizers’ gains are gotten by employing the CNBA algorithm. Second plan. an effective technique is astutely established to delineate the PSS location and quantity using CNBA and another side using participation factor. To examine the efficacy of the proposed CNBA-based PSS on a large system; it is tested on the interconnected of New-England/New-York (16 generators and 68 buses) power grid. and verified by comparative study with NBA through eigenvalue analysis and nonlinear simulation to provide evidence the algorithmic competence of CNBA. The CNBA approach yields a minimum damping ratio of 37%. which is consistent with the its eigenvalue. In contrast, the NBA approach achieves a minimum damping ratio of 31%. The simulation results reveal the fine performance of the proposed CNBA-PSS in a convincing manner and its capacity to provide an excellent damping for inter-area and local oscillations under diverse operating cases compared to NBA-PSS then in the case of PSS location.

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“…The loss of synchronism among interconnected generators in a power system network occurs when the rotor angles of generators deviate significantly so that the required phase relationship between generators is no longer maintained 3,4 . Loss of synchronism can cause generators to disconnect from the power system network, leading to ELFOs, loss of power supply to critical loads, and widespread blackouts 5,6 . To overcome these ELFOs, it may be recommended that an efficient power system stabilizer (PSS) be introduced into the system as a supplementary controller, thereby enhancing the stability of modern power system networks 7,8 …”

Section: Introductionmentioning

confidence: 99%

“…Motivated from the aforementioned facts, this article proposes a long short‐term memory (LSTM) based proportional‐integral‐derivative (PID)‐PSS to damp ELFOs efficiently. A variety of techniques are discussed in this section that lead to the development of tuning parameters for the overall system, namely conventional control‐based techniques, optimization algorithm techniques, and neural network techniques 6,10 …”

Section: Introductionmentioning

confidence: 99%

LSTM based deep neural network model of power system stabilizer for power oscillation damping in multimachine system

Sarkar

Prakash

2023

Int J Numerical Modelling

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Power system oscillation is an unavoidable threat to the stability of an interconnected modern power system. The reliable operation of a modern power system is widely related to the dampening of electromechanical low‐frequency oscillations (ELFOs). These ELFOs must be dampened appropriately to maintain the stability and reliability of the system. However, it is relatively difficult to resolve the problem of ELFOs completely with traditional power system stabilizers (PSSs). Consequently, research should be directed towards the development of efficient damping controllers, or PSSs, for power oscillation damping. Motivated from the aforementioned fact, this article presents the design of a proportional integral derivative power system stabilizer (PID‐PSS) via a long short‐term memory neural network (LSTM) based deep neural approach for damping power system oscillations in interconnected power systems. LSTM is used to train the parameters of PID‐PSS. To evaluate the performance of the proposed LSTM based PID‐PSS, diverse test cases under different operating conditions are examined. Further, the performance of the proposed LSTM based PID‐PSS is compared with traditional PSSs through time‐domain simulations. The test cases reveal the desired efficiency achieved by the proposed LSTM based PID‐PSS under diverse loading conditions.

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A Recent Review on Approaches to Design Power System Stabilizers: Status, Challenges and Future Scope

Cited by 9 publications

References 111 publications

Simultaneous Damping and Frequency Control in AC Microgrid Using Coordinated Control Considering Time Delay and Noise

Simultaneous Damping and Frequency Control in AC Microgrid Using Coordinated Control Considering Time Delay and Noise

Improved chaotic Bat algorithm for optimal coordinated tuning of power system stabilizers for multimachine power system

LSTM based deep neural network model of power system stabilizer for power oscillation damping in multimachine system

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