4.7 Article

Parameters estimation of photovoltaic models using a novel hybrid seagull optimization algorithm

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

Differential evolution algorithm with wavelet basis function and optimal mutation strategy for complex optimization problem

Wu Deng et al.

Summary: The paper proposes a novel improved DE algorithm WMSDE, which combines wavelet basis function to optimize mutation strategy and control parameters, accelerate convergence, improve search quality, and address issues like local optima and stagnation. Experimental results demonstrate the superior performance of WMSDE on 11 benchmark functions, as well as its effectiveness in solving real-world airport gate assignment problems.

APPLIED SOFT COMPUTING (2021)

Article Thermodynamics

Parameter estimation of photovoltaic models using an improved marine predators algorithm

Mohamed Abdel-Basset et al.

Summary: This paper proposes an improved algorithm based on the marine predators algorithm for extracting optimal values of photovoltaic parameters. Experimental results demonstrate the superior performance of the proposed algorithm compared to existing algorithms on photovoltaic models.

ENERGY CONVERSION AND MANAGEMENT (2021)

Article Thermodynamics

An efficient teaching-learning-based optimization algorithm for parameters identification of photovoltaic models: Analysis and validations

Mohamed Abdel-Basset et al.

Summary: Accurate and efficient parameter estimation of PV models is essential for simulating PV systems. A modified teaching-learning based optimization (MTLBO) approach is proposed to accurately and reliably extract unknown parameters of PV models. Experimental results demonstrate the superiority of the proposed algorithm, especially on the double diode model.

ENERGY CONVERSION AND MANAGEMENT (2021)

Article Energy & Fuels

Radial movement optimization based parameter extraction of double diode model of solar photovoltaic cell

B. S. S. Ganesh Pardhu et al.

Summary: A new swarm-based stochastic radial movement optimization (RMO) algorithm is proposed for extracting unknown solar photovoltaic (PV) cell parameters. The RMO method outperformed the PSO and DET methods in terms of curve fitting performance, especially for modeling the Double-Diode Model (DDM) of the solar PV cell. The RMO approach showed good accuracy and potential suitability for optimizing the DDM parameters of the solar PV cell.

SOLAR ENERGY (2021)

Article Engineering, Multidisciplinary

A Hybrid Whale Optimization with Seagull Algorithm for Global Optimization Problems

Yanhui Che et al.

Summary: This paper proposes a novel hybrid algorithm, called whale optimization with seagull algorithm (WSOA), for solving global optimization problems. By combining the strengths of existing algorithms, the calculation accuracy is improved and the problem of premature convergence is avoided.

MATHEMATICAL PROBLEMS IN ENGINEERING (2021)

Article Environmental Sciences

Air Pollutant Analysis and AQI Prediction Based on GRA and Improved SOA-SVR by Considering COVID-19

Ting Xu et al.

Summary: Since the outbreak of COVID-19 pneumonia, the Chinese government has implemented measures to control the spread of the epidemic, leading to improved air quality in Taiyuan. The study applied the ISOA-SVR model to predict AQI and found it to have better generalization ability and robustness compared to other models.

ATMOSPHERE (2021)

Article Engineering, Chemical

A Novel Hybrid Model Based on an Improved Seagull Optimization Algorithm for Short-Term Wind Speed Forecasting

Xin Chen et al.

Summary: Wind energy is a clean energy source that is attracting widespread attention, and accurate short-term wind speed predictions are crucial for improving the efficiency and economic benefits of wind power generation systems. A new hybrid model combining VMD, ISOA, and KELM algorithm has been proposed in this study, showing improved forecasting performance in capturing the nonlinear and nonstationary characteristics of wind speed. Experiment results demonstrate that the proposed model outperforms classic individual models and models using other data preprocessing techniques in different prediction horizons.

PROCESSES (2021)

Article Computer Science, Artificial Intelligence

Pinhole-imaging-based learning butterfly optimization algorithm for global optimization and feature selection

Wen Long et al.

Summary: PIL-BOA introduces adaptive gbest-guided search strategy and pinhole-imaging-based learning to improve both the exploitation capability and solution precision. Through experiments on 23 classical problems and 60 complex optimization tasks, PIL-BOA demonstrates better performance compared to other algorithms on benchmark test functions, and shows superiority in feature selection problems and fault diagnosis in real-world applications.

APPLIED SOFT COMPUTING (2021)

Article Energy & Fuels

An Improved Artificial Jellyfish Search Optimizer for Parameter Identification of Photovoltaic Models

Mohamed Abdel-Basset et al.

Summary: This study introduces a modified artificial jellyfish search optimizer (MJSO) with a premature convergence strategy (PCS) to define parameter values for PV systems. Numerical simulations confirm the algorithm's superiority in accuracy and convergence rate.

ENERGIES (2021)

Article Computer Science, Artificial Intelligence

MOSOA: A new multi-objective seagull optimization algorithm

Gaurav Dhiman et al.

Summary: The study introduces the Multi-objective Seagull Optimization Algorithm (MOSOA) by extending the previously developed Seagull Optimization Algorithm (SOA). The algorithm utilizes a dynamic archive to cache non-dominated Pareto optimal solutions and employs a roulette wheel selection approach. Testing with benchmark functions shows its superiority over existing metaheuristic algorithms, especially in high convergence Pareto optimal solutions.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Article Energy & Fuels

Parameters identification of PV model using improved slime mould optimizer and Lambert W-function

Attia A. El-Fergany

Summary: This paper investigates the characterization of PV units and the extraction of model parameters, using the slime mould algorithm and its improved version to achieve the goal, demonstrating good results in two test cases.

ENERGY REPORTS (2021)

Article Green & Sustainable Science & Technology

A comprehensive survey on meta-heuristic algorithms for parameter extraction of photovoltaic models

Shuijia Li et al.

Summary: This paper comprehensively reviews meta-heuristic algorithms and their variants used to extract parameters of different PV models, emphasizing the importance of algorithm reliability, robustness, computational resources, and time complexity in efficient parameter extraction.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)

Article Energy & Fuels

A new approach for parameters estimation of double and triple diode models of photovoltaic cells based on iterative Lambert W function

Martin Calasan et al.

Summary: An approximated expression for the calculated solar cell current is used in parameters estimation of solar photovoltaic equivalent circuits. A novel iterative approach based on Lambert W function is proposed to calculate the solar cell current and RMSE values are computed using various optimization algorithms. The results show that the proposed algorithm achieves better solutions than other algorithms in the literature.

SOLAR ENERGY (2021)

Article Computer Science, Artificial Intelligence

Opposition-based JAYA with population reduction for parameter estimation of photovoltaic solar cells and modules

Xi Yang et al.

Summary: An enhanced JAYA algorithm is proposed in this study for accurately and efficiently estimating the parameters of PV systems. Experimental results demonstrate the excellence of EJAYA in accuracy, stability, and convergence speed, making it a superior alternative for parameter detection of PV cells and modules under various practical conditions.

APPLIED SOFT COMPUTING (2021)

Article Thermodynamics

Parameters identification of photovoltaic models by using an enhanced adaptive butterfly optimization algorithm

Wen Long et al.

Summary: The paper proposes a variant of butterfly optimization algorithm (EABOA) to identify unknown parameters of PV models, which shows better performance than other selected algorithms in terms of accuracy and reliability.

ENERGY (2021)

Article Thermodynamics

Parameters extraction of three diode photovoltaic models using boosted LSHADE algorithm and Newton Raphson method

Hussein Mohammed Ridha et al.

Summary: This study introduces an enhanced version of the LSHADE method by integrating various contributions to determine the parameters of three diode PV models. The results demonstrate that the proposed ELSHADE method outperforms other algorithms in several statistical criteria.

ENERGY (2021)

Article Thermodynamics

An enhanced adaptive differential evolution algorithm for parameter extraction of photovoltaic models

Shuijia Li et al.

ENERGY CONVERSION AND MANAGEMENT (2020)

Article Automation & Control Systems

Refraction-learning-based whale optimization algorithm for high-dimensional problems and parameter estimation of PV model

Wen Long et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2020)

Article Green & Sustainable Science & Technology

Parameters identification of photovoltaic cells and modules using diversification-enriched Harris hawks optimization with chaotic driftse

Huiling Chen et al.

JOURNAL OF CLEANER PRODUCTION (2020)

Article Computer Science, Artificial Intelligence

Estimation of photovoltaic module model's parameters using an improved electromagnetic-like algorithm

Hussein Mohammed Ridha et al.

NEURAL COMPUTING & APPLICATIONS (2020)

Article Thermodynamics

Orthogonal Nelder-Mead moth flame method for parameters identification of photovoltaic modules

Hongliang Zhang et al.

ENERGY CONVERSION AND MANAGEMENT (2020)

Article Thermodynamics

An improved wind driven optimization algorithm for parameters identification of a triple-diode photovoltaic cell model

Ibrahim Anwar Ibrahim et al.

ENERGY CONVERSION AND MANAGEMENT (2020)

Article Engineering, Electrical & Electronic

Hybrid seagull and thermal exchange optimization algorithm-based NLOS nodes detection technique for enhancing reliability under data dissemination in VANETs

Rajendran Mani et al.

INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS (2020)

Article Materials Science, Characterization & Testing

Seagull optimization algorithm for solving real-world design optimization problems

Natee Panagant et al.

MATERIALS TESTING (2020)

Article Green & Sustainable Science & Technology

An efficient datasheet-based parameters extraction method for two-diode photovoltaic cell and cells model

Zhuo Meng et al.

RENEWABLE ENERGY (2020)

Article Energy & Fuels

Solar photovoltaic parameter estimation using an improved equilibrium optimizer

Mohamed Abdel-Basset et al.

SOLAR ENERGY (2020)

Article Computer Science, Artificial Intelligence

Backtracking search algorithm with competitive learning for identification of unknown parameters of photovoltaic systems

Yiying Zhang et al.

EXPERT SYSTEMS WITH APPLICATIONS (2020)

Article Computer Science, Information Systems

A Novel Hybrid Classification Method Based on the Opposition-Based Seagull Optimization Algorithm

He Jiang et al.

IEEE ACCESS (2020)

Article Computer Science, Information Systems

Marine Predators Algorithm for Parameters Identification of Triple-Diode Photovoltaic Models

Mahmoud A. Soliman et al.

IEEE ACCESS (2020)

Article Computer Science, Artificial Intelligence

Butterfly optimization algorithm: a novel approach for global optimization

Sankalap Arora et al.

SOFT COMPUTING (2019)

Article Computer Science, Artificial Intelligence

A novel Random Walk Grey Wolf Optimizer

Shubham Gupta et al.

SWARM AND EVOLUTIONARY COMPUTATION (2019)

Article Computer Science, Artificial Intelligence

Seagull optimization algorithm: Theory and its applications for large-scale industrial engineering problems

Gaurav Dhiman et al.

KNOWLEDGE-BASED SYSTEMS (2019)

Article Computer Science, Artificial Intelligence

Solving high-dimensional global optimization problems using an improved sine cosine algorithm

Wen Long et al.

EXPERT SYSTEMS WITH APPLICATIONS (2019)

Review Chemistry, Physical

A review on meta-heuristics methods for estimating parameters of solar cells

Diego Oliva et al.

JOURNAL OF POWER SOURCES (2019)

Article Thermodynamics

An opposition-based sine cosine approach with local search for parameter estimation of photovoltaic models

Huiling Chen et al.

ENERGY CONVERSION AND MANAGEMENT (2019)

Article Computer Science, Theory & Methods

Harris hawks optimization: Algorithm and applications

Ali Asghar Heidari et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)

Article Computer Science, Information Systems

A New Hybrid Seagull Optimization Algorithm for Feature Selection

Heming Jia et al.

IEEE ACCESS (2019)

Article Automation & Control Systems

An exploration-enhanced grey wolf optimizer to solve high-dimensional numerical optimization

Wen Long et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2018)

Article Computer Science, Artificial Intelligence

Improved grasshopper optimization algorithm using opposition-based learning

Ahmed A. Ewees et al.

EXPERT SYSTEMS WITH APPLICATIONS (2018)

Article Green & Sustainable Science & Technology

Bacterial Foraging Optimization Approach to Parameter Extraction of a Photovoltaic Module

Bidyadhar Subudhi et al.

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2018)

Review Computer Science, Artificial Intelligence

Levy Flights in Metaheuristics Optimization Algorithms - A Review

Mridul Chawla et al.

APPLIED ARTIFICIAL INTELLIGENCE (2018)

Article Thermodynamics

Parameter extraction of solar photovoltaic models using an improved whale optimization algorithm

Guojiang Xiong et al.

ENERGY CONVERSION AND MANAGEMENT (2018)

Article Thermodynamics

Parameter identification of photovoltaic cell model based on improved ant lion optimizer

Zhongqiang Wu et al.

ENERGY CONVERSION AND MANAGEMENT (2017)

Article Computer Science, Interdisciplinary Applications

A genetic algorithm for identifying the single diode model parameters of a photovoltaic panel

J. D. Bastidas-Rodriguez et al.

MATHEMATICS AND COMPUTERS IN SIMULATION (2017)

Article Computer Science, Artificial Intelligence

PV cell and module efficient parameters estimation using Evaporation Rate based Water Cycle Algorithm

Dhruv Kler et al.

SWARM AND EVOLUTIONARY COMPUTATION (2017)

Article Green & Sustainable Science & Technology

Parameter estimation of photovoltaic system using imperialist competitive algorithm

Ahmed Fathy et al.

RENEWABLE ENERGY (2017)

Article Computer Science, Interdisciplinary Applications

The Whale Optimization Algorithm

Seyedali Mirjalili et al.

ADVANCES IN ENGINEERING SOFTWARE (2016)

Review Green & Sustainable Science & Technology

Parameter estimation of solar photovoltaic (PV) cells: A review

A. Rezaee Jordehi

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2016)

Article Energy & Fuels

Very accurate parameter estimation of single- and double-diode solar cell models using a modified artificial bee colony algorithm

Mohammad Jamadi et al.

INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENTAL ENGINEERING (2016)

Article Computer Science, Interdisciplinary Applications

Grey Wolf Optimizer

Seyedali Mirjalili et al.

ADVANCES IN ENGINEERING SOFTWARE (2014)