Bi-level energy co-optimization of regional integrated energy system with electric vehicle to generalized-energy conversion framework and flexible hydrogen-blended gas strategy

Applied Energy, Journal Year: 2025, Volume and Issue: 390, P. 125868 - 125868

Published: April 11, 2025

Language: Английский

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Dynamic gold rush optimizer: fusing worker adaptation and salp navigation mechanism for enhanced search

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: May 6, 2025

Abstract The Dynamic Gold Rush Optimizer (DGRO) is presented as an advanced variant of the original (GRO), addressing its inherent limitations in exploration and exploitation. While GRO has demonstrated efficacy solving optimization problems, susceptibility to premature convergence suboptimal solutions remains a critical challenge. To overcome these limitations, DGRO introduces two novel mechanisms: Salp Navigation Mechanism (SNM) Worker Adaptation (WAM). SNM enhances both exploitation by dynamically guiding population through stochastic strategy that ensures effective navigation solution space. This mechanism also facilitates smooth transition between exploitation, enabling algorithm maintain diversity during early iterations refine later stages. Complementing this, WAM strengthens phase promoting localized interactions among individuals within population, fostering adaptive learning promising search regions. Together, mechanisms significantly improve DGRO’s ability converge toward global optima. A comprehensive experimental evaluation was conducted using benchmark functions from Congress on Evolutionary Computation (CEC) CEC2013 CEC2020 test suites across 30 50-dimensional spaces, alongside seven complex engineering problems. Statistical analyses, including Wilcoxon Rank-Sum Test (WRST) Friedman Rank (FRT), validate superior performance, demonstrating significant advancements capability stability. These findings underscore effectiveness competitive robust algorithm.

Language: Английский

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Identification of Transformer Parameters Using Dandelion Algorithm

Applied System Innovation, Journal Year: 2024, Volume and Issue: 7(5), P. 75 - 75

Published: Aug. 29, 2024

Researchers tackled the challenge of finding right parameters for a transformer-equivalent circuit. They achieved this by minimizing difference between actual measurements (currents, powers, secondary voltage) during transformer load test and values predicted model using different parameter settings. This process considers limitations on what can have. research introduces application new effective optimization algorithm called dandelion (DA) to determine these parameters. Information from real-time tests (single- three-phase transformers) is fed into computer program that uses DA find best aforementioned difference. Tests confirm reliable accurate tool estimating It achieves excellent performance stability in optimal precisely reflect how behaves. The significantly lower fitness function value 0.0136101 case, while single-phase case it reached 0.601764. indicates substantially improved match estimated measured electrical model. By comparing with six competitive algorithms prove well each method minimized predictions, could be shown outperforms other techniques.

Language: Английский

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Improved Dujiangyan Irrigation System Optimization (IDISO): A Novel Metaheuristic Algorithm for Hydrochar Characteristics

Processes, Journal Year: 2024, Volume and Issue: 12(7), P. 1321 - 1321

Published: June 26, 2024

Hyperparameter tuning is crucial in the development of machine learning models. This study introduces nonlinear shrinking factor and Cauchy mutation mechanism to improve Dujiangyan Irrigation System Optimization (DISO), proposing improved algorithm (IDISO) for hyperparameter learning. The optimization capabilities convergence performance IDISO were validated on 87 CEC2017 benchmark functions varying dimensions nine real-world engineering problems, demonstrating that it significantly outperforms DISO terms speed accuracy, ranks first overall among seventeen advanced metaheuristic algorithms being compared. To construct a robust generalizable prediction model hydrochar element characteristics, this utilized fine-tune parameters XGBoost model. experimental results show IDISO-XGBoost achieved an average 0.95, which represents 4% improvement over DISO-XGBoost These indicate has significant potential value practical applications.

Language: Английский

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A Comprehensive Review on Selective Harmonic Elimination Techniques and Its Permissible Standards in Electrical Systems

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 141966 - 141998

Published: Jan. 1, 2024

Selective harmonic elimination techniques have developed a crucial feature in the domain of power electronics and innumerable drives control schemes. The main intention this review paper is to make readers delve into numerous methods employed SHE techniques, formulations its applications, challenges faced grid allowable standards harmonics provided by various like IEEE IEC. By exploring mathematical formulations, historical development comparison optimization algorithms as well applications sectors, attempts impart complete understanding importance electrical engineering. Furthermore, work will also analyze existing met it emphasizes potential future target for exploration advancement field.

Language: Английский

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Boosting Walrus Optimizer Algorithm based on ranking-based update mechanism for parameters identification of photovoltaic cell models

Electrical Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 9, 2024

Language: Английский

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PSSs Layout using Dandelion Optimization Approach

WSEAS TRANSACTIONS ON ELECTRONICS, Journal Year: 2024, Volume and Issue: 15, P. 157 - 165

Published: Dec. 30, 2024

This paper develops an optimal Power System Stabilizers (PSSs) design employing the Dandelion Optimization Algorithm (DOA) implemented in a multimachine system. The synthesizing of PSS parameters is shaped as DOA-addressed optimization matter. An objective equation invoked by eigenvalue, incorporating lightly damped electromechanical modes, damping ratio, and factor, utilized for layout. functioning suggested DOA-based PSSs (DOAPSS) evaluated against Differential Evolution-based (DEPSS) under various running requirements disturbances. supremacy DOAPSS validated across time-domain analysis, eigenvalues, indices, demonstrating its superiority over DE approach.

Language: Английский

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