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

Swain, Dipak R.; Ray, Partha; Jena, Ranjan Kumar; Paital, Shiba R.

doi:10.1007/s00500-023-08037-8

Cited by 3 publications

(1 citation statement)

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“…Authors in 6 suggest an adaptive fractional fuzzy sliding mode controller based-PSS for damping out low-frequency fluctuations in multimachine and single machine infinite bus under different operative unforeseen. Swain et al in 7 present an adaptive interval type 2 fuzzy sliding mode controlled-PSS to disable the low-frequency electromechanical oscillations and improve stability under suspicions and peripheral oscillations. In 8 the work proposes a process for adjusting SMC gains for a PSS utilizing a deep neural network.…”

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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Section: Introductionmentioning

confidence: 99%