In recent years, the modeling and simulation of lithium-ion batteries have garnered attention due to rising demand for reliable energy storage. Accurate charge cycle predictions are fundamental optimizing battery performance lifespan. This study compares particle swarm optimization (PSO) grey wolf (GWO) algorithms in a commercial battery, emphasizing voltage behavior current delivered battery. Bio-inspired tunes parameters reduce root mean square error (RMSE) between simulated experimental...

The deployment of photovoltaic single-phase inverters has been rapidly increasing worldwide. However, the performance these systems is highly influenced by atmospheric conditions and load variations, necessitating development indices to enhance their efficiency energy quality. In this study, four are proposed evaluate quality quantitatively. entire process analyzed, encompassing solar capture, DC-DC DC-AC conversion, filtering, deliver maximum load. Furthermore, eight system parameters...

In this work, we demonstrate the importance of implementing techniques that allow us to include demand side management as a tool for planning energy systems, in particular case, standalone power systems. Penetration indexes are also proposed and calculated establish minimum requirements supply predominantly residential system powered by renewable resources. The were optimized using meta-heuristic optimization based on genetic algorithm particle swarm optimization. Periods one, five 10 years...

Energy systems with renewable sources are used around the world in order to satisfy both off-grid and on-grid load demands, commonly coupled conventional sources. A good behavior of this kind depends on availability that includes solar irradiance wind speed, as well profile variations over energy demand. Their main objective is demand while minimizing use sources, reducing pollutant emissions storing excess for deficit conditions. This paper presents modeling, neural forecasting optimal...

The variability of renewable energies and their integration into the grid via power electronics demands design robust control algorithms. This work incorporates two techniques to ensure stability a boost converter through its state equations, implementing inverse optimal gain-scheduling technique for settings. In such way that, under single adjustment, it is capable damping different changes as in parameters, load, input voltage, reference voltage. On other hand, based on discrete-time...

Summary This paper proposes an inverse optimal neural control method of a nonlinear anaerobic bioprocesses model for simultaneous hydrogen and methane production in presence disturbances. Based on the fundamental properties system, passivity approach is designed such that asymptotic stability guaranteed. A recurrent high‐order network unknown systems bounded disturbances parameter uncertainties proposed to identify nonmeasurable state variables which are directly related biofuels production....

Dynamic phasors modeling technique has demonstrated to be a good methodology for oscillatory dynamic systems such as electric machines, power electronics and FACTS. Its main advantages are accuracy fast simulation. However, something that not been much exploited, is Fourier coefficients can used compute the voltage module at some specific frequency example, with this extra information design new control algorithms improve behavior of system. In work, an extended model PV-boost converter...

The analysis of the behavior lithium-ion batteries has gained considerable interest in recent years. There are different alternatives for this behavior; however, depending on type modeling, there application and optimization restrictions. In work, a hybrid model been made that is capable predicting characteristics battery. As novelty, simplification, at same time, facilitates sampling parameters their prompt selection optimization. A new open to user proposed, which proven be efficient...

In the renewable energy generation, several processes require integration of a set advanced techniques in order to find optimal solutions. Dynamic estimation, stabilizing control for disturbance rejection, optimization effort, and parameter tuning are used address whole process requirements obtain results. this paper, an strategy maximum biofuel production presence disturbances is proposed. First, integrated maximize Second, due its high nonlinearity, complex nature, multiplicity equilibrium...

Polydimethylsiloxane (PDMS) nanocomposite (NC) macroporous films were prepared by a Pickering high internal phase emulsion (HIPE) templating technique and used as effective dielectrics for enhancing the performance of triboelectric-nanogenerators (TENGs). HIPEs formulated using commercial PDMS water continuous dispersed phase, respectively. The formation solidification PDMS-based possible through stabilization with silver-nanoparticles (Ag-Nps) surfactant (Span 20) mixtures. resulting...

This paper proposes a strategy for the active and reactive power flow control, applied to three-phase inverter connected microgrid. In recent years, smart grids have changed energy distribution sector. The quality is essential in integration of renewable sources into small microgrids. These microgrids can operate stand-alone mode or utility grid. continuous development non-linear loads such as converters, fluorescent lamp, AC DC-drives, switched uninterruptable supplies are producing...

This paper presents a decentralized control technique, implemented through differential power processing topology, in hybrid PEM Fuel Cell systems. strategy allows the of flow cells. The purpose is to improve maximum point tracking (MPPT) different submodules and thus increase efficiency system. In device, several cells are connected series, where same current passes all them. implies that degradation some membrane not only affects partial performance but also entire To solve problem single...

The rise of distributed generation makes more difficult the power balance between demand and in electrical networks, especially by uncertainty renewable generation. Smart grid concepts have been developed to solve this problem. A set generators, loads storage devices are locally managed minimize energy cost. These smart grids surpluses deficits along time, so they interact a local market. In paper, we present market based on multi-agent system. Every has manager agent that minimizes its cost...

In this article, a technique called Meta-Optimization is used to enhance the effectiveness of bio-inspired algorithms that solve antenna array synthesis problems.This consists on second optimization layer finds best behavioral parameters for given algorithm, which allows achieve better results.Bio-inspired computational methods are useful complex multidimensional problems such as design arrays.However, their performance depends heavily initial parameters.In paper, distances between elements...

This paper presents a Partial-Power processing architecture for Fuel Cell-based hybrid Electric Vehicle (HEV). Likewise, an active power buffer has been incorporated to supply the peaks demanded by vehicle's traction system. The purpose of improve overall efficiency while semiconductor losses are reduced relative Full-Power converter. topology some advantages over traditional structure, such as high density, voltage stress in devices, small size, or low cost. is because converter only...

The Mexican energy reform of 2013 enabled the development new management models and infrastructure. However, there is growing unattended evidence weight human behavior analysis in consumption. Therefore, this research integrates, with an interdisciplinary approach, design a virtual microgrid market Tonalá Campus University Guadalajara, real-time monitoring change theories. Firstly, 5 buildings, each generation plant, proposed. Each one dimensioned based on its historical demand 499-kWp...