A New Design for Robust Control of Power System Stabilizer Based on Moth Search Algorithm

Razmjooy, Navid; Razmjooy, Saeid; Vahedi, Zahra; Estrela, Vania V.; Oliveira, Gabriel Gomes de

doi:10.1007/978-3-030-56689-0_10

Cited by 24 publications

(10 citation statements)

References 15 publications

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“…This is employed to renew the individual in the later iterations 50 . To improve the efficiency of the algorithm, the next procedure is to employ a Gaussian mutation structure 51,52 . A proper trade‐off between the global and the local results is created in the algorithm by this procedure.…”

Section: Methodsmentioning

confidence: 99%

“…50 To improve the efficiency of the algorithm, the next procedure is to employ a Gaussian mutation structure. 51,52 A proper trade-off between the global and the local results is created in the algorithm by this procedure. The formulation for Probability Density Function (PDF) of the Gaussian distribution is as below:…”

Section: Enhanced Arithmetic Optimization Algorithm (Eaoa)mentioning

confidence: 99%

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Adaptive façade for building energy efficiency improvement by arithmetical optimization algorithm

Shi

Pouramini

2022

Concurrency and Computation

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Summary To improve the energy efficiency in buildings, a computational optimization method is suggested in this article. The method is designed based on the structure of the adaptive façade. This type of façade system can adjust its visible and thermal transmissivity for actively changing weather conditions. The main concept of this system is the optimization process. This process integrates the DesignBuilder as the building energy simulation tool with an optimization method, called arithmetical optimization algorithm, through the MLE+ toolkit. It is notable that the proposed approach can be applied to different building types and is also not involved in any specific optimization tool. In this regard, two case studies, a typical single office room, and a medium office building are selected to show the capability of the presented approach to improve the energy effectiveness of the building. Based on the results, the energy consumption is decreased by 15.0%–29.1% for the first case study and 14.3%–22.4% for the second case compared to the static façades. The adaptive façades' potentiality is indicated by the important achievements in this study.

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Section: Methodsmentioning

confidence: 99%

Section: Enhanced Arithmetic Optimization Algorithm (Eaoa)mentioning

confidence: 99%

Adaptive façade for building energy efficiency improvement by arithmetical optimization algorithm

Shi

Pouramini

2022

Concurrency and Computation

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“…The sliding mode control (SMC) is presented in paper [5], a farmland fertility algorithm (FFA) in [6] but the FFA is highly reliant on accurate and extensive data which can be challenging to acquire, a genetic algorithm in [7] which requires many iterations and evaluations, making it slow for complex problems like multi-machine system, a particle swarm optimization (PSO) in [8] but this algorithm performance critically depends on fine-tuning parameters, making it complex and less robust, a chaotic sunflower optimization algorithm in [9] which requiring careful tuning of chaotic parameters, struggles with local optima, prioritizing exploitation (refining good solutions) over exploration (finding new, potentially better regions) leading to missed global optima, a moth search algorithm in [10] but it lacks the rigorous mathematical backing of some established optimization methods, raising concerns about stability and global convergence guarantees, bio-inspired algorithms in [11] which is highly dependent on fine-tuning specific parameters, impacting effectiveness and requiring more expertise, a sliding mode control in [12]. Moreover, artificial intelligence-based training and tuning techniques have been used to develop a PSS as a Deep reinforcement learning-based method in [13], a neuro-adaptive predictive control in [14], a fuzzy-based controller in [15][16][17], damped Nyquist plot for the phase and gain optimization in [18] but all these algorithms may require intensive computations compared to simpler algorithms, especially for complex problems.…”

Section: Introductionmentioning

confidence: 99%

Stabilisateur De Système d'ALIMENTATION Robuste Basé Sur Un Contrôle H∞ Structuré Pour La Stabilité d'UN Système Multi-Machine

KHELLOUFI,

SARI,

CHOUABA

2024

RRST-EE

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A robust design of power system stabilizers (PSSs) using H∞ output feedback control has been introduced in this work. To facilitate the implementation of the designed PSSs, the proposed technique employs the H∞ to tune the fixed-structure conventional lead-lag PSS parameters of the multi-machine system. These PSSs are used to improve the damping of the local and inter-area low-frequency oscillations in power systems under different operating conditions. The proposed control is tested on a multi-machine system, which is a three-machine nine-bus system. A comparative simulation study shows a significant enhancement and good performance of the proposed design compared to an IEEE conventional power system stabilizer.

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“…The essential condition for stable power system is synchronism [5], [6]. Three types of stability issues are rotor angle stability, frequency stability, and voltage stability.…”

Section: Introductionmentioning

confidence: 99%

Impact of load variation on power system stability and performance of power system stabilizers: A case study of Peerdawd gas power station, Iraq

Hameed,

Hashim,

Derbel

2023

IJPEDS

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<span lang="EN-US">Variable load on the station refers to the fluctuating load on a power plant due to erratic consumer demands. It is known to have an effect on the performance of power system stabilizers, particularly in damping inter-area oscillation. This paper examines how two power system stabilizer (PSS) models and various load conditions affect a power system's voltage and power stability. A dynamic model of the power system station, based on the real case study of the Peerdawd gas power station in north Iraq (PPGS), is utilized to investigate the response of both steady-state and transient-state models: the aggregated excitation control system (Ex2100) and the power system stabilizer (PSS2B). The impact of load variation on voltage stability under normal situations and during disturbances is discussed. Furthermore, the effect of reactive power support from the power plant on the input of the two PSS models is analyzed and discussed. The paper employs a MATLABTM/Simulink-based simulation program, and the results contribute to understanding how load variation influences system damping based on PSS.</span>

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A New Design for Robust Control of Power System Stabilizer Based on Moth Search Algorithm

Cited by 24 publications

References 15 publications

Adaptive façade for building energy efficiency improvement by arithmetical optimization algorithm

Adaptive façade for building energy efficiency improvement by arithmetical optimization algorithm

Stabilisateur De Système d'ALIMENTATION Robuste Basé Sur Un Contrôle H∞ Structuré Pour La Stabilité d'UN Système Multi-Machine

Impact of load variation on power system stability and performance of power system stabilizers: A case study of Peerdawd gas power station, Iraq

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