Multiple Input-Single Output DC-DC Converters Assessment for Low Power Renewable Sources Integration

Soldado-Guamán, J.; Herrera, Víctor Isaac; Cunduri, Mayra Alejandra Pacheco; Camacho, Alejandro; Delgado-Prieto, Miguel; Hernandez-Ambato, Jorge

doi:10.3390/en16041652

Cited by 5 publications

(2 citation statements)

References 26 publications

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“…For the best use of hybrid renewable energy sources (HRESs) with a hybrid control technique, the researcher in [5] suggests a DC-DC converter. Multiple input single output (MISO) DC-DC converters, which can accept a range of input sources and combine their benefits to deliver controlled output for a variety of applications, are one type of multi-input power electronics converters used in hybrid renewable energy systems.…”

Section: Introduction 1dc-dc Convertersmentioning

confidence: 99%

Analyzing the Effectiveness of Single Active Bridge DC-DC Converter under Transient and Load Variation

2023

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Over the last couple of years, the use of DC-DC converters is being widely used in several applications. The need for a reliable and robust converter for application is very important because of the social impact that it can have on the losses in high-power electronics applications and output efficiency. This paper gives a comprehensive review of single-active-bridge (SAB) converters. The detail modelling and performance evaluation of SAB topology with PI controllers are also presented in this article. The performance of SAB topology is analyzed under transient and load variations. Due to the nonlinear behavior of SAB topology, the traditional PI controllers have not minimized transient disturbances. The major problem with the usage of conventional controllers and traditional configurations for the SAB converter are the ripples, which are generated in output voltage and current. These ripples severely affect the performance of the SAB converter. An effort has been made to analyze and contribute to the importance of a robust controller to mitigate the converter dynamics. This article also gives an in-depth dynamic analysis of SAB converters, which were controlled using PI controllers and failed to perform satisfactorily under non-linearities.

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Section: Introduction 1dc-dc Convertersmentioning

confidence: 99%

Analyzing the Effectiveness of Single Active Bridge DC-DC Converter under Transient and Load Variation

2023

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“…Addressing the formidable challenge in stabilizing unstable systems through the definition of suitable switching rules is a focal point in the theory of switched systems. In efforts to mitigate the conservatism associated with stabilization methods for switched linear systems, [20][21][22][23][24] introduced efficient approaches. Ref.…”

Section: Introductionmentioning

confidence: 99%

Composite Switched Lyapunov Function-Based Control of DC–DC Converters for Renewable Energy Applications

Hashemi,

Mahboobi Esfanjani,

Jafari Kaleybar

2023

Electronics

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Renewable energy sources play a pivotal role in the pursuit of sustainable and eco-friendly power solutions. While offering environmental benefits, they present inherent challenges. Photovoltaic systems rely on surrounding conditions, wind systems contend with variable wind speeds, and fuel cells are both costly and inefficient. Furthermore, the energy injected by renewable energy sources (RES) exhibits unpredictable behavior. To tackle these problems, researchers employ diverse power electronic devices and converters like inverters, power quality filters, and DC–DC choppers. Among these, DC–DC converters stand out for effectively regulating DC voltage and enhancing the efficiency of RESs. The meticulous selection of a suitable DC–DC converter, coupled with the integration of an efficient control technique, significantly influences overall power system performance. This paper introduces a novel approach to the design of switching controllers for DC–DC converters, specifically tailored for application in renewable energy systems. The proposed controller leverages the power of composite switched Lyapunov functions (CSLF) to enhance the efficiency and performance of DC–DC converters, addressing the unique challenges posed by renewable energy sources. Through comprehensive analysis and simulation, this study demonstrates the efficacy of the controller in optimizing power transfer, improving stability, and ensuring reliable operation in diverse renewable energy environments. Moreover, the small-scale DC–DC converter experiment’s findings are presented to confirm and validate the proposed scheme’s practical applicability.

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Multi-model transfer function approach tuned by PSO for predicting stock market implied volatility explained by uncertainty indexes

Tissaoui,

Boubaker,

Hkiri

et al. 2024

Sci Rep

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This paper studies the forecasting power of uncertainty emanating from the commodities market, energy market, economic policy, and geopolitical threats to the CBOE Volatility Index (VIX). In this study, the relationship between the various uncertainty metrics throughout the period 2012—2022, using a multi-model transfer function technique optimized by particle swarm optimization (PSO) is estimated. Furthermore, we utilize PSO for parameter optimization within the multi-model framework, improving model performance and convergence speed. According to empirical findings, the CBOE Volatility Index reacts nonlinearly to the uncertainty indices. Specifically, the conclusions of the performance metrics show that the OVX index (MAPE: 4.1559%; RMSE: 1.0476% and W: 96.74%) outperforms the geopolitical risk index, the Bloomberg energy index, and the economic policy uncertainty index in predicting the volatility of the US equities market. Although individual models have generated respectful performance, results from the aggregate simulation show that when all predictors are combined, they simultaneously provide better performance indicators (MAVE: 2.7511 %; RMSE: 0.7361%; R2: 98.93%) than when they are estimated separately. In addition, results provide evidence that, when considering non-linear patterns in the data, the multi-model transfer function technique calibrated using PSO demonstrates its outperformance over autoregressive baseline models, traditional econometric models, and deep learning techniques. The effectiveness and accuracy of the multi-model transfer function method tuned by PSO as a forecasting tool are confirmed by the convergence analysis of the cost function. Our methodology innovates by employing a multi-model transfer function technique, which captures the complex and nonlinear relationships between uncertainty indicators and the VIX more comprehensively than traditional single-model approaches. These results are important for traders in terms of hedging as well as portfolio diversification by investing in defensive equities and for policymakers in terms of reliability and preciseness of volatility forecasts.

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Multiple Input-Single Output DC-DC Converters Assessment for Low Power Renewable Sources Integration

Cited by 5 publications

References 26 publications

Analyzing the Effectiveness of Single Active Bridge DC-DC Converter under Transient and Load Variation

Analyzing the Effectiveness of Single Active Bridge DC-DC Converter under Transient and Load Variation

Composite Switched Lyapunov Function-Based Control of DC–DC Converters for Renewable Energy Applications

Multi-model transfer function approach tuned by PSO for predicting stock market implied volatility explained by uncertainty indexes

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