102 research outputs found
Binary Search Algorithm for Mixed Integer Optimization: Application to energy management in a microgrid
This paper presents a binary search algorithm
to deal with binary variables in mixed integer optimization
problems. One example of this kind of problem is the optimal
operation of hydrogen storage and energy sale and purchase
into a microgrids context. In this work was studied a system
composed by a microgrid that has a connection with the
external electrical network and a charging station for electric
cars. The system modeling was carried out by the Energy
Hubs methodology. The proposed algorithm transforms the
MIQP (Mixed Integer Quadratic Program) problem into a QP
(Quadratic Program) that is easier to solve. In this way the
overall control task is carried out the electricity purchase and
sale to the power grid, maximizes the use of renewable energy
sources, manages the use of energy storages and supplies the
charge of the parked vehicles.Ministerio de Economía y Competitividad DPI2013-46912-C2-1-RUniversidad de Sevilla CNPq401126/2014-5Universidad de Sevilla CNPq303702/2011-
Model predictive control of interconnected microgrids and electric vehicles
[ES] La microrred como elemento agregador de fuentes de generación, cargas y sistemas de almacenamiento de energía aparece como tecnología clave para dotar a los sistemas eléctricos de suficiente flexibilidad para una transición energética basada en fuentes renovables. Sin embargo, el problema de control para la gestión de energía se vuelve complejo cuando se incrementa el número de sistemas conectados a una misma microrred. De igual forma, se requiere flexibilidad para integrar a los vehículos eléctricos. La interacción entre las distintas microrredes y los vehículos hacen necesarias herramientas avanzadas de control para resolver el problema de optimización. El objeto del presente trabajo es presentar distintas herramientas de control predictivo basado en el modelo (Model Predictive Control, MPC) para resolver el problema de control asociado a este tipo de sistemas. En concreto, se abordan dos problemas: la conexión de vehículos eléctricos a la microrred y la interconexión de varias microrredes. Para el primer caso se analizan dos escenarios, según que el intercambio de energía sea uni o bidireccional y se presenta la forma de optimizar la operación usando MPC. En el segundo caso se aborda el problema usando técnicas de control distribuido.[EN] Microgrids, as aggregators of sources, loads and energy storage systems, appear as key technology to provide the required flexibility to electric power systems to carry out an energy transition based on renewable sources. Nevertheless, the control problem becomes complex when the number of connected components to the same microgrid increases. Also, the system requires flexibility to integrate electric vehicles. The complexity given by the associated control problem to optimize the energy exchange between microgrids and the electric vehicles makes necessary the development of advanced control tools. In this work, dierent Model Predictive Control (MPC) strategies are introduced in order to face the challenge of the control problem formulation of this kind of systems. Specifically, two problems are addressed: the connection of electric vehicles to the microgrid and the interconnection of several microgrids. For the first case, two scenarios are analyzed, depending on whether the energy exchange is uni or bidirectional, the way to optimize the operation using MPC is presented and examples of use are shown. For the second case, the problem isaddressed using distributed control techniques.Este trabajo ha sido realizado parcialmente gracias al apoyo
del Ministerio de Econom´ıa, Industria y Competitividad de Espana mediante el proyecto CONFIGURA (DPI2016-78338-R) y por la Comision Europea, en el proyecto AGERAR (0076- ´
AGERAR-6-E), dentro del programa Interreg Spain-Portugal
(POCTEP).Bordons, C.; Garcia-Torres, F.; Ridao, M. (2020). Control predictivo en microrredes interconectadas y con vehículos eléctricos. Revista Iberoamericana de Automática e Informática industrial. 17(3). https://doi.org/10.4995/riai.2020.13304OJS253173Alvarado, I., Limon, D., de la Peña, D. M., Maestre, J., Ridao, M., Scheu, H., Marquardt, W., Negenborn, R., Schutter, B. D., Valencia, F., Espinosa, J., 2011. A comparative analysis of distributed mpc techniques applied to the hd-mpc four-tank benchmark. Journal of Process Control 21 (5), 800 - 815, special Issue on Hierarchical and Distributed Model Predictive Control. https://doi.org/10.1016/j.jprocont.2011.03.003Bashash, S., Fathy, H., 2011. Robust demand-side plug-in electric vehicle load control for renewable energy management. American Control Conference (ACC), 929-934. https://doi.org/10.1109/ACC.2011.5990856Bazmohammadi, N., Tahsiri, A., Anvari-Moghaddam, A., Guerrero, J. M., 2019. 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IEEE Transactions on Smart Grid 5 (6), 2901-2909. https://doi.org/10.1109/TSG.2014.233783
Dual-active bridge series resonant electric vehicle charger: A self-tuning method
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This paper presents a new self-tuning loop for a bidirectional dual-active bridge (DAB) series resonant converter (SRC). For different loading conditions, the two active bridges can be controlled with a minimum time displacement between them to assure zero voltage switching (ZVS) and minimum circulation current conditions. The tuning loop can instantly reverse the power direction with a fast dynamics. Moreover, the tuning loop is not sensitive to series resonant tank tolerances and deviations, which makes it a robust solution for power tuning of the SRCs. For simplicity, the power is controlled based on the power-frequency control method with a fixed time displacement between the active bridges. The main design criteria of the bidirectional SRC are the time displacement, operating frequency bandwidth, and the minimum and maximum power, which are simply derived and formulated based on the self-tuning loop’s parameters. Based on the parameters of the tuning loop, a simplified power equation and power control method is proposed for DAB-SRCs. The proposed control method is simulated in static and dynamic conditions for different loadings. The analysis and simulation results show the effectiveness of the new tuning method
Towards Open and Equitable Access to Research and Knowledge for Development
Leslie Chan and colleagues discuss the value of open access not just for access
to health information, but also for transforming structural inequity in current
academic reward systems and for valuing scholarship from the South
Productivity trends and collaboration patterns: A diachronic study in the eating disorders field
[EN] Objective
The present study seeks to extend previous bibliometric studies on eating disorders (EDs) by including a time-dependent analysis of the growth and evolution of multi-author collaborations and their correlation with ED publication trends from 1980 to 2014 (35 years).
Methods
Using standardized practices, we searched Web of Science (WoS) Core Collection (WoSCC) (indexes: Science Citation Index-Expanded [SCIE], & Social Science Citation Index [SSCI]) and Scopus (areas: Health Sciences, Life Sciences, & Social Sciences and Humanities) to identify a large sample of articles related to EDs. We then submitted our sample of articles to bibliometric and graph theory analyses to identify co-authorship and social network patterns.
Results
We present a large number of detailed findings, including a clear pattern of scientific growth measured as number of publications per five-year period or quinquennium (Q), a tremendous increase in the number of authors attracted by the ED subject, and a very high and steady growth in collaborative work.
Conclusions
We inferred that the noted publication growth was likely driven by the noted increase in the number of new authors per Q. Social network analyses suggested that collaborations within ED follow patters of interaction that are similar to well established and recognized disciplines, as indicated by the presence of a ¿giant cluster¿, high cluster density, and the replication of the ¿small world¿ phenomenon¿the principle that we are all linked by short chains of acquaintances.This work was performed with a subsidy from Universidad Catolica de Valencia "San Vicente Martir" to resarch group INDOTEI: Evaluacion de la Ciencia, for the years 2016-2017. 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Understanding Crowd-Powered Search Groups: A Social Network Perspective
Background: Crowd-powered search is a new form of search and problem solving scheme that involves collaboration among a potentially large number of voluntary Web users. Human flesh search (HFS), a particular form of crowd-powered search originated in China, has seen tremendous growth since its inception in 2001. HFS presents a valuable test-bed for scientists to validate existing and new theories in social computing, sociology, behavioral sciences, and so forth. Methodology: In this research, we construct an aggregated HFS group, consisting of the participants and their relationships in a comprehensive set of identified HFS episodes. We study the topological properties and the evolution of the aggregated network and different sub-groups in the network. We also identify the key HFS participants according to a variety of measures. Conclusions: We found that, as compared with other online social networks, HFS participant network shares the power-law degree distribution and small-world property, but with a looser and more distributed organizational structure, leading to the diversity, decentralization, and independence of HFS participants. In addition, the HFS group has been becoming increasingly decentralized. The comparisons of different HFS sub-groups reveal that HFS participants collaborated more often when they conducted the searches in local platforms or the searches requiring a certain level of professional knowledge background. On the contrary, HFS participants did not collaborate much when they performed the search tas
Towards a consolidation of worldwide journal rankings - A classification using random forests and aggregate rating via data envelopment analysis
AbstractThe question of how to assess research outputs published in journals is now a global concern for academics. Numerous journal ratings and rankings exist, some featuring perceptual and peer-review-based journal ranks, some focusing on objective information related to citations, some using a combination of the two. This research consolidates existing journal rankings into an up-to-date and comprehensive list. Existing approaches to determining journal rankings are significantly advanced with the application of a new classification approach, ‘random forests’, and data envelopment analysis. As a result, a fresh look at a publication׳s place in the global research community is offered. While our approach is applicable to all management and business journals, we specifically exemplify the relative position of ‘operations research, management science, production and operations management’ journals within the broader management field, as well as within their own subject domain
Do age and professional rank influence the order of authorship in scientific publications? Some evidence from a micro-level perspective
Bibliometric analysis on global Catha edulis (khat) research production during the period of 1952–2014
La comunicación científica en Uruguay: estudio de las publicaciones de los investigadores activos del Sistema Nacional de Investigadores (2009-2010)
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