Estimation of five parameters of photovoltaic modules using a synergetic control theory approach

Mokhliss, Hamza; El-amiri, Asseya; Rais, Khalid

doi:10.1007/s10825-018-1253-2

Cited by 13 publications

(3 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This is due to the synergetic control approach having the benefits of order reduction and is like the sliding mode technique but without the detriment of chattering. The synergetic algorithm creates a new dynamical system by mapping the original set of differential equations in such a way that there exists a unique attractive point in the state space, which is located near the actual system's solution, and the rate at which the system dynamics approaches this point can be modulated [28]. By developing optimal controllers for dynamical systems, ref.…”

Section: Introductionmentioning

confidence: 99%

Multi-Machine Power System Transient Stability Enhancement Utilizing a Fractional Order-Based Nonlinear Stabilizer

Fathollahi,

Andresen

2023

Fractal Fract

View full text Add to dashboard Cite

Given the intricate nature of contemporary energy systems, addressing the control and stability analysis of these systems necessitates the consideration of highly large-scale models. Transient stability analysis stands as a crucial challenge in enhancing energy system efficiency. Power System Stabilizers (PSSs), integrated within excitation control for synchronous generators, offer a cost-effective means to bolster power systems’ stability and reliability. In this study, we propose an enhanced nonlinear control strategy based on synergetic control theory for PSSs. This strategy aims to mitigate electromechanical oscillations and rectify the limitations associated with linear approximations within large-scale energy systems that incorporate thyristor-controlled series capacitors (TCSCs). To dynamically adjust the coefficients of the nonlinear controller, we employ the Fractional Order Fish Migration Optimization (FOFMO) algorithm, rooted in fractional calculus (FC) theory. The FOFMO algorithm adapts by updating position and velocity within fractional-order structures. To assess the effectiveness of the improved controller, comprehensive numerical simulations are conducted. Initially, we examine its performance in a single machine connected to the infinite bus (SMIB) power system under various fault conditions. Subsequently, we extend the application of the proposed nonlinear stabilizer to a two-area, four-machine power system. Our numerical results reveal highly promising advancements in both control accuracy and the dynamic characteristics of controlled power systems.

show abstract

Section: Introductionmentioning

confidence: 99%

Multi-Machine Power System Transient Stability Enhancement Utilizing a Fractional Order-Based Nonlinear Stabilizer

Fathollahi,

Andresen

2023

Fractal Fract

View full text Add to dashboard Cite

show abstract

“…Since the synergetic control has inherent advantages such as the global stability and the robustness against modeling inaccuracy and internal parameter disturbances, it has already used in power system, yet not applied to the machine driving system. Similar to the SMC method, the synergetic control method can also reduce the order of the controlled system, but it is more suitable for digital control and can eliminate the chattering problem [29], [30]. Besides, the synergetic control theory is used in the FTC.…”

Section: Introductionmentioning

confidence: 99%

Robust Fault-Tolerant Synergetic Control for Dual Three-Phase PMSM Drives Considering Speed Sensor Fault

et al. 2020

View full text Add to dashboard Cite

Stability and reliability are the most important indicators of drive systems. In this article, a robust nonlinear control method is advanced for dual three-phase permanent-magnet synchronous machine (dual-PMSM) drives, based on the synergetic control theory. This control is implemented by a new synergetic controller (SGC) integrating with an extended sliding mode observer (ESMO), and an optimization method is applied to obtain the optimal parameters of the SGC. This control scheme not only improves the dynamic performance even with operating parameters change, but also can diagnose the speed sensor fault and realize the fault tolerant control (FTC). The proposed control method is compared with the PI control, the sliding mode control (SMC) and the predictive control, as well as the simulation and experimental results confirm the superior dynamic performance and the effectiveness on the speed sensor fault diagnosis (FD) and FTC. INDEX TERMS Synergetic controller, fault diagnosis, fault-tolerant control, speed sensor fault, dual threephase permanent-magnet synchronous machine (dual-PMSM).

show abstract

“…Os modelos amplamente utilizados na literatura são baseados em um diodo (Costa et al, 2010;Alhajri et al, 2012) ou dois diodos (Ting et al, 2016;Brano and Ciulla, 2016), enquanto outros estudos introduziram um modelo de três diodos (Nishioka et al, 2007). O uso do modelo de umúnico diodó e comumente usado na prática, pois garante o compromisso entre simplicidade e precisão, pois requer apenas cinco parâmetros, enquanto aqueles de dois e três diodos são mais precisos, porém requerem um número de parâmetros elevado o que deixa esses modelos com um grau de complexidade alto, pois, necessitam de uma ampla gama de cálculos (Mokhliss et al, 2019).…”

Section: Introductionunclassified

Aplicação de Métodos Numéricos na Estimação dos Parâmetros do Modelo de Módulos Fotovoltaicos com um Diodo

Silva

Machado

Fernandes

et al. 2020

Anais Do Congresso Brasileiro De Automática 2020

View full text Add to dashboard Cite

Uma das etapas de fundamental importância na modelagem de módulos fotovoltaicos é o processo de estimação dos parâmetros, sendo os métodos de otimização ferramentas essenciais para a garantia de valores ótimos. Os métodos numéricos são ferramentas amplamente utilizadas nesses processos para obtenção desses parâmetros. Esse trabalho visa aplicar metodologias convencionais e de otimização na estimação dos parâmetros do modelo de um diodo de módulos fotovoltaicos, tendo em que vista que essa temática é imprescindível para estudos baseados em simulações com representação matemática do desempenho desses equipamentos. Por meio de análise estatística pode ser observada que a metodologia de Levenberg-Marquardt empregando como valores iniciais os resultados obtidos pelo método de Villalva levou o modelo a maior representatividade, para o modelo abordado em uma gama de irradiâncias. Dessa forma, pode-se chegar a uma estimação paramétrica que viabilize a melhor aproximação das condições fornecidas pelo manual do fabricante.

show abstract

Estimation of five parameters of photovoltaic modules using a synergetic control theory approach

Cited by 13 publications

References 35 publications

Multi-Machine Power System Transient Stability Enhancement Utilizing a Fractional Order-Based Nonlinear Stabilizer

Multi-Machine Power System Transient Stability Enhancement Utilizing a Fractional Order-Based Nonlinear Stabilizer

Robust Fault-Tolerant Synergetic Control for Dual Three-Phase PMSM Drives Considering Speed Sensor Fault

Aplicação de Métodos Numéricos na Estimação dos Parâmetros do Modelo de Módulos Fotovoltaicos com um Diodo

Contact Info

Product

Resources

About