Revistas UTB ( Universidad Tecnológica de Bolívar)
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A battery energy storage system as an alternative for mitigating issues in the distribution network
distribution network to boost energy efficacy. The investigation specifically scrutinizes the integration of BESS into the distribution network feeder, both in the presence and absence of distributed photovoltaic penetration, with a focus on enhancing load factor and power factor. Utilizing the OpenDSS software with a Python interface, simulations were conducted to assess a range of scenarios involving the injection and absorption of active and reactive power. The outcomes underscore noteworthy enhancements in both load factor and power factor at the feeder output. Additionally, the integration of BESS exhibits a reduction in power losses along the feeder. These findings offer valuable perspectives for advancing energy efficiency in distribution networks, and have implications for future research and practical implementation
Enhancing disaster management through multi-objective water wave optimization for medical supplies storage and distribution
This paper conducts a comparative analysis of advanced methodologies aimed at addressing the intricate task of scheduling medical supplies in both civilian and military sectors for epidemic prevention and control. This study introduces a multi-objective water wave optimization (MOWWO) algorithm and enhance its efficacy by incorporating a dynamically adjusted component to the metaheuristic approach (DAMOWWO). The primary goal of this research is to assess the proposed approach in contrast to established state of the art methods with similar objectives. The aim of this study is to optimize multiple aspects simultaneously, including the overall satisfaction rates of medical supply delivery and the reduction of scheduling costs, while ensuring a minimum military supply reservation ratio. This paper offers a comprehensive evaluation of the MOOW algorithm, emphasizing its potential applications in emergency response scenarios
Implementation plan of the information security management system based on the NTC-ISO-IEC 27001:2013 standard and security risk analysis. Case study: Higher education institution
This research was carried out to generate an implementation plan for the information security management system based on the NTC-ISO-IEC 27001:2013 standard and security risk analysis at the IUB university institution. The connotation of security has been extended over time due to technological advances and the introduction of new information systems, which simultaneously generate new security challenges. Likewise, the instruments to guarantee the confidentiality, integrity, and availability of information have become a fundamental strategy to ensure the security of public and private organizations. The preparation of this plan includes the methodological cycle, where they indicate a series of phases and their corresponding activities to implement the ISMS ISO 27001:2013, with procedural characteristics that support the entire implementation process from beginning to end, facilitating due process and continuity. Likewise, an analysis of the Information security risk plan is carried out, of which there is significant progress. The result of this cycle will be a plan with a schedule of activities so that the organization links all the personnel around compliance with the standard, raising awareness regarding the importance of information security and the development of activities in phases that, within the stipulated times, will be able to have the ISMS fully operationa
Exploring the determinants of happiness in Mexico: The interplay of social networks, psychological well-being, and socioeconomic factors
Over recent years, there has been significant growth in research on happiness. It is essential to understand the factors that affect people's well-being to develop effective government policies that aim to improve the quality of life for citizens in Mexico. Unfortunately, this subject has been under-explored, especially in the Mexican context, with limited studies focusing on the topic. This study aims to comprehensively review the current literature on happiness, social networking, psychological factors, and socioeconomic factors to identify the critical variables associated with the happiness of Mexican citizens. Further, based on data from Mexico's 2021 National Survey of Self-reported Well-being (ENBIARE), we conducted a rigorous examination of this dataset to identify the principal factors that impact the well-being of Mexican citizens, employing both exploratory and confirmatory factor analysis
A Novel Switched-Capacitor Enhanced-Boost Quasi Z-Source Network
This paper presents a novel switched-capacitor enhanced-boost quasi-Z-source inverter (SCEB-qZSI) for renewable energy applications. The described topology is a novel power electronic converter that uses switched-capacitors to increase the voltage boost. In the meanwhile, a reduced shoot-through condition results in a higher dc-link voltage. Moreover, the proposed concept has the advantages of continuous input current, smaller current ripple, common grounding, and high output voltage gain. The proposed topology is thoroughly examined, and simulation data are used to support the theoretical analysis. The proposed SCEB-qZSI topology has potential uses in electric vehicles, industrial applications, and renewable energy systems which may develop by using the inexpensive components making it an attractive option for applications that have limited funds. D represents the shoot-through duty ratio of the inverter switches which can range from 0<D<0.144. In the proposed topology inductor voltages, inductor currents, capacitor voltages, diode currents, and voltage source inverter outputs are extracted with and without filters and are discussed in brief. The theoretical and simulation evaluation for the above findings is presented in this paper
Boundary-Based PWM Control Scheme for a DC-DC Buck Converter Operating in CCM
This paper presents a control scheme for DC-DC buck converters operating in Continuous Conduction Mode (CCM) that achieves fast and accurate regulation of the output voltage while reducing the computational burden on the control system. The study investigates the boundary-based control scheme for a buck converter and models the converter circuit as a Switched Dynamical System (SDS) using hybrid automaton due to its continuous and discrete states. The boundaries of these states are determined to enable the implementation of a fixed-frequency Pulse-Width Modulation (PWM) control scheme. The proposed control scheme was evaluated through simulation with variations in input voltage, load, and reference voltage. It was further analyzed for model mismatch due to parametric variations and parasitic parameters, which demonstrated its effectiveness and robustness under various operating conditions. The SDS approach for controlling the buck converter is simple, requires minimal mathematical calculations, and is free from modeling errors. The output voltage was stable under regulatory and servo problems, as well as sinusoidal input testing. The proposed scheme was compared with other conventional schemes and found superior in terms of steady-state and dynamic response. Additionally, integral compensation was introduced to counter parasitic parameters, which was found to be effective
Five Level H-Bridge Configuration Based Microgrid with Sugeno Fuzzy Controller for New Energy Generation from Renewable Systems
Hybrid microgrids run by renewable energy sources are gaining popularity around the world. Solar (PV) and permanent magnet synchronous generator (PMSG) based wind energy systems (WES) are well-known and easy to install renewable energy options. Unfortunately, wind speeds and solar irradiance levels fluctuate unpredictably. Energy generation from both WES and PV panels must therefore fluctuate. Simultaneously, the load is fluctuating irregularly. Hence, storage devices must be incorporated into hybrid systems in order to keep the generation and consumption of electricity in equilibrium. In addition, for a fuel cell and electrolyzer that run on hydrogen, a tiny battery is added into the system to keep costs down. In order to enhance power quality and reliability, all the components in a microgrid need to be connected to an effective energy management system. For optimal use, renewable energy sources are combined with maximum power point trackers. When there are sudden shifts in both the energy supply and demand on a standalone microgrid, the energy balance and frequency response are crucial. In this study, a Takagi Sugeno based innovative fuzzy controller is implemented for a system to manage energy in order to achieve a precious and rapid reaction. The suggested system's Hardware-In-the-Loop is built using OPAL-RT modules in order to demonstrate detailed findings
Fuel Cell Based Ultra-Voltage Gain Boost Converter for Electric Vehicle Applications
The proposed fuel cell-based ultra-voltage gain boost converter offers an alternative to transformer-based topologies for achieving high voltage gain. While transformers can achieve high voltage gains, they come with drawbacks such as high cost, design complexity, and increased weight. In this article, a switched inductor circuit is introduced as an alternative solution to achieve high voltage gain. This circuit enhances overall system performance by reducing size, weight, and cost. Operating in a transformer-less topology, the converter boosts voltage levels while ensuring low voltage stress on the switching devices. The suggested design enables larger voltage gain values even at low duty ratios. The output of the fundamental boost converter serves as the input for the switched inductor circuit, effectively boosting the voltage level and supplying more voltage to the output side. This converter is particularly suitable for applications requiring ultra-voltage gain in electric vehicles, which offer reduced pollution compared to internal combustion engines. Moreover, the utilization of this topology reduces space requirements. The article presents a thorough investigation of the steady state operation in continuous conduction mode, and theoretical verification and MATLAB simulations demonstrate the performance and operation of the proposed converter
Performance Validation of PM Assisted SynRM and PMSM with Optimized Design for EV Application
This paper presents the comparison of Permanent Magnet-Assisted Synchronous Reluctance Motor (PMASynRM) and Permanent Magnet Synchronous Motor (PMSM) for the same design parameters and the evaluation of various performance parameters based on the Finite Element (FE) Method. FE Analysis is conducted after selecting the optimized design for PMASynRM and PMSM using an FE tool, with loading conditions to determine various performance parameters. This is achieved by maintaining the same motor dimensions and stator parameters while altering the rotor geometry for both motors. The final simulation results are discussed, and other performance parameters are recorded for comparison purposes. A PMASynRM is introduced, in which the problems of Synchronous Reluctance Motor (SynRM) can be eliminated with a permanent magnet in the rotor flux barrier. Due to higher flux barriers in PMASynRM, the reluctance torque is higher than in PMSM. If the magnet is placed very near to the air gap in PMSM, higher magnet torque is achieved, but due to the high reluctance torque in PMASynRM, the electromagnetic torque of PMASynRM is higher compared to PMSM. The research proves that the proposed design of PMASynRM is the best choice for Electric Vehicle (EV) applications. For PMASynRM, the shape of the flux barrier is not possible to change due to the design limitation of the FE software tool. Further analysis can be conducted by changing the shapes of the flux barriers to propose the most effective barriers. Basic theory and FE analysis of conventional PMSM and SynRM are reported in the literature. An optimal design is proposed through comparative analysis for EV applications to find out the best candidate for an EV motor
Navigating the waters of academic publishing: Insights from a graduate writing course
Editor-in-Chief Andres G. Marrugo discusses the complexities of academic publishing and the crucial role of broad-based learning in a graduate course on scientific writing. The editorial highlights the need for effective communication and comprehension of publishing models to prepare emerging researchers for the academic world