Coordinated operation of fuzzy‐based TCSC and SMES for low‐frequency oscillation damping in interconnected power systems

Mushtaq, Basit; Mufti, Mairaj-ud-Din

doi:10.1002/cta.3543

Cited by 9 publications

(6 citation statements)

References 56 publications

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“…Due to the paucity of space, the numerical results of participation factors with corresponding state names are not shown here but are well documented in Mushtaq and Mufti. 43 5 | DAMPING CONTROL DESIGN…”

Section: System Analysis Using Participation Factor Methodsmentioning

confidence: 99%

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An intelligent cascaded fuzzy‐lead‐lag‐based damping control scheme incorporating variable frequency transformer and superconducting magnetic energy storage in multimachine power system

Mushtaq,

Mufti

2023

Circuit Theory & Apps

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This paper investigates the potential capability of recently proposed flexible power transmisssion device, namely, variable frequency transformer (VFT), to effectively mitigate low‐frequency oscillations (LFOs). VFT with a high rotational inertia has an inherent natural damping capacity that may be utilized to attenuate power system oscillations. To provide additional system damping, a comprehensive approach is presented, which integrates the coordination of VFT with superconducting magnetic energy storage (SMES). An intelligently designed novel cascaded lead‐lag fuzzy logic controller (CLLFLC) utilizing a global stabilizing control signal constitutes the supervisory controller for VFT and SMES. The stabilizing feedback signal that contains information about overall system dynamics can be easily obtained through wide area measurement systems (WAMS) and is determined using participation factor (PF) analysis. In addition, a newly developed optimization technique known as K‐means optimizer (KO) is used for optimizing CLLFLC parameters utilized for the carefully orchestrated operation of VFT and SMES. Numerous simulation studies are conducted on two‐area multigenerator interconnected network to validate the resilience of the suggested approach. The findings demonstrate that the proposed control strategy with optimized gain parameters efficaciously damped the LFOs. To show the superior damping effectiveness of the suggested KO‐CLLFLC controller, a comparative performance evaluation with a damping controller designed on residue approach was also undertaken.

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Section: System Analysis Using Participation Factor Methodsmentioning

confidence: 99%

“…According to the PF investigation, the generators 3 and 4 participate most actively in the interarea oscillations. Due to the paucity of space, the numerical results of participation factors with corresponding state names are not shown here but are well documented in Mushtaq and Mufti 43 …”

Section: Modal Analysismentioning

confidence: 99%

An intelligent cascaded fuzzy‐lead‐lag‐based damping control scheme incorporating variable frequency transformer and superconducting magnetic energy storage in multimachine power system

Mushtaq,

Mufti

2023

Circuit Theory & Apps

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“…Particle swarm optimization was employed by the authors of [23] to develop an output feedback UPFC controller for the damping of electromechanical oscillations. In [24], the authors demonstrated the most effective tuning method for a unified power flow controller to reduce interarea oscillations in a multi-machine system using the firefly method. In [25], the authors described a STATCOM controller design that dampens low-frequency oscillations in the power system using a modified shuffling frog leaping algorithm.…”

Section: Literature Reviewmentioning

confidence: 99%

A Novel Techno-Economical Control of UPFC against Cyber-Physical Attacks Considering Power System Interarea Oscillations

Mosleh,

Umurkan

2024

Applied Sciences

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In the field of electrical engineering, there is an increasing concern among managers and operators about the secure and cost-efficient operation of smart power systems in response to disturbances caused by physical cyber attacks and natural disasters. This paper introduces an innovative framework for the hybrid, coordinated control of Unified Power Flow Controllers (UPFCs) and Power System Stabilizers (PSSs) within a power system. The primary objective of this framework is to enhance the system’s security metrics, including stability and resilience, while also considering the operational costs associated with defending against cyber-physical attacks. The main novelty of this paper lies in the introduction of a real-time online framework that optimally coordinates a power system stabilizer, power oscillation damper, and unified power flow controller to enhance the power system’s resilience against transient disturbances caused by cyber-physical attacks. The proposed approach considers technical performance indicators of power systems, such as voltage fluctuations and losses, in addition to economic objectives, when determining the optimal dynamic coordination of UPFCs and PSSs—aspects that have been neglected in previous modern research. To address the optimization problem, a novel multi-objective search algorithm inspired by Harris hawks, known as the Multi-Objective Harris Hawks (MOHH) algorithm, was developed. This algorithm is crucial in identifying the optimal controller coefficient settings. The proposed methodology was tested using standard IEEE9-bus and IEEE39-bus test systems. Simulation results demonstrate the effectiveness and efficiency of this approach in achieving optimal system recovery, both technically and economically, in the face of cyber-physical attacks.

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“…For inter-area LFO damping in interlinked power systems, a robust damping control technique is developed in Mushtaq and Mufti. 18 The technique uses a skillfully created fuzzy logic control system, a thyristor operated series compensator, and superconducting magnetic energy storage. Based on participation factor analysis, a global stabilizing feedback signal is also added.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The fault ride‐through prevention techniques should be applied in the VFT since fault propagation is a key issue that impacts power system security and dependability. For inter‐area LFO damping in interlinked power systems, a robust damping control technique is developed in Mushtaq and Mufti 18 . The technique uses a skillfully created fuzzy logic control system, a thyristor operated series compensator, and superconducting magnetic energy storage.…”

Section: Introductionmentioning

confidence: 99%

Optimizing power system stability: An artificial neural network approach for controlling variable frequency transformer

Sheikh,

Bakhsh

2023

Circuit Theory & Apps

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SummaryModern power systems face challenges with stability, especially due to interconnections through weak tie‐lines, which can lead to power oscillations. These oscillations occur when the rotor fails to provide sufficient damping force to balance electrical output and mechanical input. Without a reliable damping system, these oscillations can persist, posing a threat to power system stability. In this article, a novel solution is proposed to curb low‐frequency oscillations by implementing a new power transmission technology called variable frequency transformer (VFT) in a two‐area power system. The VFT is equipped with an industrially applied proportional integral derivative controller trained by an artificial neural network to regulate power flow between the two areas. Additionally, a power oscillation damping controller is introduced that utilizes intelligent tuning through salp swarm optimization to enhance the damping capabilities of the VFT. The intelligent tuning of the power oscillation damping controller using salp swarm optimization enhances the damping capabilities of the VFT, resulting in a 25% increase in the damping ratio. To evaluate the performance of the VFT‐based system, it has been compared with a well‐established high voltage direct current (HVDC) system through a three‐phase fault analysis and reactive power requirement. Quantitatively, the proposed VFT system achieves a significant improvement in damping power oscillations, reducing their amplitudes by 30% compared to the HVDC system. Furthermore, the system is linearized under specific operating conditions, and eigenvalue analysis is conducted to assess power system stability for both VFT and HVDC cases. Through time‐domain simulations and eigenvalue analysis, our findings demonstrate that the VFT system surpasses the HVDC system in various operational and control aspects, highlighting its positive impact on power system stability.

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Coordinated operation of fuzzy‐based TCSC and SMES for low‐frequency oscillation damping in interconnected power systems

Cited by 9 publications

References 56 publications

An intelligent cascaded fuzzy‐lead‐lag‐based damping control scheme incorporating variable frequency transformer and superconducting magnetic energy storage in multimachine power system

An intelligent cascaded fuzzy‐lead‐lag‐based damping control scheme incorporating variable frequency transformer and superconducting magnetic energy storage in multimachine power system

A Novel Techno-Economical Control of UPFC against Cyber-Physical Attacks Considering Power System Interarea Oscillations

Optimizing power system stability: An artificial neural network approach for controlling variable frequency transformer

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