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Prof. Fabio Andrade
University of Puerto Rico, Mayagüez Campus, Mayagüez, Puerto Rico, US

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Research Keywords & Expertise

0 Inverters
0 microgrids
0 stability analysis
0 Control and Modelling of Power Converters
0 Power electronic control

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microgrids
Inverters
stability analysis

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Short Biography

Director of the Sustainable Energy Center (SEC) and associate professor in Power electronics applied to renewable energy in the Department of Electrical & Computer Engineering at The University of Puerto Rico at Mayaguez. His main research interests include modeling, analysis, design, and control of power electronic converters, principally for dc/ac power conversion, grid-connection of renewable energy sources, and Microgrid application.

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Journal article
Published: 22 June 2021 in Applied Sciences
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One of the most important aspects that need to be addressed to increase solar energy penetration is the power ramp-rate control. In weak grids such as the one found in Puerto Rico, it is important to smooth power fluctuations caused by the intermittence of passing clouds. In this work, a novel power ramp-rate control strategy is proposed. Additionally, a comparison with some of the most common power ramp-rate control methods is performed using a proposed model and real solar radiation data from the Coto Laurel photovoltaic power plant located in Ponce, Puerto Rico. The proposed model was validated using one-year real data from Coto Laurel. The power ramp-rate control methods were compared in real-time simulations using the OP5700 from Opal-RT Technologies considering power ramp rate fluctuations, power ramp-rate violations, fluctuations in the state-of-charge, among other indicators. Moreover, the proposed power ramp-rate control strategy, called predictive dynamic smoothing was explained and compared. Results indicate that the predictive dynamic smoothing produced a considerably reduced Levelized Cost of Storage compared to other power ramp-rate control methods and provided a higher lifetime expectancy for lithium batteries.

ACS Style

Juan Patarroyo-Montenegro; Jesus Vasquez-Plaza; Omar Rodriguez-Martinez; Yuly Garcia; Fabio Andrade. Comparative and Cost Analysis of a Novel Predictive Power Ramp Rate Control Method: A Case Study in a PV Power Plant in Puerto Rico. Applied Sciences 2021, 11, 5766 .

AMA Style

Juan Patarroyo-Montenegro, Jesus Vasquez-Plaza, Omar Rodriguez-Martinez, Yuly Garcia, Fabio Andrade. Comparative and Cost Analysis of a Novel Predictive Power Ramp Rate Control Method: A Case Study in a PV Power Plant in Puerto Rico. Applied Sciences. 2021; 11 (13):5766.

Chicago/Turabian Style

Juan Patarroyo-Montenegro; Jesus Vasquez-Plaza; Omar Rodriguez-Martinez; Yuly Garcia; Fabio Andrade. 2021. "Comparative and Cost Analysis of a Novel Predictive Power Ramp Rate Control Method: A Case Study in a PV Power Plant in Puerto Rico." Applied Sciences 11, no. 13: 5766.

Review
Published: 04 June 2021 in IEEE Access
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In response to national and international carbon reduction goals, renewable energy resources like photovoltaics (PV) and wind, and energy storage technologies like fuel-cells are being extensively integrated in electric grids. All these energy resources require power electronic converters (PECs) to interconnect to the electric grid. These PECs have different response characteristics to dynamic stability issues compared to conventional synchronous generators. As a result, the demand for validated models to study and control these stability issues of PECs has increased drastically. This paper provides a review of the existing PEC model types and their applicable uses. The paper provides a description of the suitable model types based on the relevant dynamic stability issues. Challenges and benefits of using the appropriate PEC model type for studying each type of stability issue are also presented.

ACS Style

Chinmay Shah; Jesus D. Vasquez-Plaza; Daniel D. Campo-Ossa; Juan F. Patarroyo-Montenegro; Nischal Guruwacharya; Niranjan Bhujel; Rodrigo D. Trevizan; Fabio Andrade Rengifo; Mariko Shirazi; Reinaldo Tonkoski; Richard Wies; Timothy M. Hansen; Phylicia Cicilio. Review of Dynamic and Transient Modeling of Power Electronic Converters for Converter Dominated Power Systems. IEEE Access 2021, 9, 82094 -82117.

AMA Style

Chinmay Shah, Jesus D. Vasquez-Plaza, Daniel D. Campo-Ossa, Juan F. Patarroyo-Montenegro, Nischal Guruwacharya, Niranjan Bhujel, Rodrigo D. Trevizan, Fabio Andrade Rengifo, Mariko Shirazi, Reinaldo Tonkoski, Richard Wies, Timothy M. Hansen, Phylicia Cicilio. Review of Dynamic and Transient Modeling of Power Electronic Converters for Converter Dominated Power Systems. IEEE Access. 2021; 9 ():82094-82117.

Chicago/Turabian Style

Chinmay Shah; Jesus D. Vasquez-Plaza; Daniel D. Campo-Ossa; Juan F. Patarroyo-Montenegro; Nischal Guruwacharya; Niranjan Bhujel; Rodrigo D. Trevizan; Fabio Andrade Rengifo; Mariko Shirazi; Reinaldo Tonkoski; Richard Wies; Timothy M. Hansen; Phylicia Cicilio. 2021. "Review of Dynamic and Transient Modeling of Power Electronic Converters for Converter Dominated Power Systems." IEEE Access 9, no. : 82094-82117.

Journal article
Published: 06 November 2020 in IEEE Transactions on Power Electronics
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This work proposes a power-sharing control method based on the Linear Quadratic Regulator with optimal reference tracking (LQR-ORT) for three-phase inverter-based generators using LCL filters islanded mode. Compared to single-input single-output (SISO) controllers, the LQR-ORT controller increases robustness margins and reduces the quadratic value of the power error and control inputs during the transient response. Supplementary loops are used to reduce frequency and voltage deviations in the AC bus without communications. The supplementary loop for voltage regulation is based on the droop controller by reducing direct and quadrature output voltages according to the active and reactive power demand. A model in a synchronous reference frame that integrates power-sharing and voltage-current dynamics is also pro-posed. In addition, a methodology to develop an islanded microgrid model in a synchronous reference frame is proposed. Robustness analysis demonstrates the stability of the LQR-ORT controller under variations in the LCL filter components. Experimental results demonstrate the accuracy of the proposed model and the effectiveness of the LQR-ORT controller on improving transient response and robustness in islanded mode.

ACS Style

Juan F. Patarroyo-Montenegro; Fabio Andrade; Josep M. Guerrero; Juan C. Vasquez. A Linear Quadratic Regulator With Optimal Reference Tracking for Three-Phase Inverter-Based Islanded Microgrids. IEEE Transactions on Power Electronics 2020, 36, 7112 -7122.

AMA Style

Juan F. Patarroyo-Montenegro, Fabio Andrade, Josep M. Guerrero, Juan C. Vasquez. A Linear Quadratic Regulator With Optimal Reference Tracking for Three-Phase Inverter-Based Islanded Microgrids. IEEE Transactions on Power Electronics. 2020; 36 (6):7112-7122.

Chicago/Turabian Style

Juan F. Patarroyo-Montenegro; Fabio Andrade; Josep M. Guerrero; Juan C. Vasquez. 2020. "A Linear Quadratic Regulator With Optimal Reference Tracking for Three-Phase Inverter-Based Islanded Microgrids." IEEE Transactions on Power Electronics 36, no. 6: 7112-7122.

Journal article
Published: 25 September 2020 in Applied Sciences
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This work proposes a power control strategy based on the linear quadratic regulator with optimal reference tracking (LQR-ORT) for a three-phase inverter-based generator (IBG) using an LCL filter. The use of an LQR-ORT controller increases robustness margins and reduces the quadratic value of the power error and control inputs during transient response. A model in a synchronous reference frame that integrates power sharing and voltage–current (V–I) dynamics is also proposed. This model allows for analyzing closed-loop eigenvalue location and robustness margins. The proposed controller was compared against a classical droop approach using proportional-resonant controllers for the inner loops. Mathematical analysis and hardware-in-the-loop (HIL) experiments under variations in the LCL filter components demonstrate fulfillment of robustness and performance bounds of the LQR-ORT controller. Experimental results demonstrate accuracy of the proposed model and the effectiveness of the LQR-ORT controller in improving transient response, robustness, and power decoupling.

ACS Style

Juan F. Patarroyo-Montenegro; Jesus D. Vasquez-Plaza; Fabio Andrade; Lingling Fan. An Optimal Power Control Strategy for Grid-Following Inverters in a Synchronous Frame. Applied Sciences 2020, 10, 6730 .

AMA Style

Juan F. Patarroyo-Montenegro, Jesus D. Vasquez-Plaza, Fabio Andrade, Lingling Fan. An Optimal Power Control Strategy for Grid-Following Inverters in a Synchronous Frame. Applied Sciences. 2020; 10 (19):6730.

Chicago/Turabian Style

Juan F. Patarroyo-Montenegro; Jesus D. Vasquez-Plaza; Fabio Andrade; Lingling Fan. 2020. "An Optimal Power Control Strategy for Grid-Following Inverters in a Synchronous Frame." Applied Sciences 10, no. 19: 6730.

Conference paper
Published: 10 September 2020 in 2019 ASEE Annual Conference & Exposition Proceedings
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After a natural disaster, multiple disciplines need to come together to rebuild the damaged infrastructure using new paradigms. For instance, urgent restoration of services demand to abridge the projects’ schedule and provide innovative solutions, thus making collaboration and integration essential for the project’s success. Commonly, the academic preparation of scholars on infrastructure-related disciplines takes place in isolated professional domains, rarely tackling interdisciplinary problems and/or learn from the systematic research of previous experiences. In Puerto Rico, the aftermath of Hurricanes Irma and Maria has heightened awareness regarding the education on infrastructure-related disciplines to provide transdisciplinary solutions to pertinent complex challenges. This taxing context compels the academia to train a new cadre of professionals properly prepared in those STEM disciplines. Further, current public awareness of the vulnerability of the existing infrastructure creates an opportunity to recruit and prepare students to become those much-needed professionals. The present work offers the conceptual framework of a collaborative effort among Architecture, Engineering, and Construction (AEC) to develop an interdisciplinary program in resilient and sustainable infrastructure. The framework includes the development of transformational pedagogic interventions and changes that will challenge the disciplinary splits among AEC. The framework targets values and skills for inter and transdisciplinary problem solving, as well as helps smooth the transition from academic education to professional practice. To implement the initiative, the project created a collaborative platform among three campuses of the University of Puerto Rico System. Each of these campuses offers a different educational component relevant to the enriching educational initiative. We expect this approach to create a new breed of professionals ready to face the challenges posed for the development of robust infrastructure. The strategy fosters readiness in environmental design in engineering and construction through evidence-based design and inter/transdisciplinary problem solving. Thus, this research contributes to the body of knowledge by presenting a collaborative effort to train future professionals to design and build a robust infrastructure that can overcome the impact of major natural catastrophes.

ACS Style

Carla Lopez Del Puerto; Humberto Cavallin; Jose L. Perdomo; Jonathan Munoz Barreto; Oscar Marcelo Suarez; Fabio Andrade. Developing a Collaborative Undergraduate STEM Program in Resilient and Sustainable Infrastructure. 2019 ASEE Annual Conference & Exposition Proceedings 2020, 1 .

AMA Style

Carla Lopez Del Puerto, Humberto Cavallin, Jose L. Perdomo, Jonathan Munoz Barreto, Oscar Marcelo Suarez, Fabio Andrade. Developing a Collaborative Undergraduate STEM Program in Resilient and Sustainable Infrastructure. 2019 ASEE Annual Conference & Exposition Proceedings. 2020; ():1.

Chicago/Turabian Style

Carla Lopez Del Puerto; Humberto Cavallin; Jose L. Perdomo; Jonathan Munoz Barreto; Oscar Marcelo Suarez; Fabio Andrade. 2020. "Developing a Collaborative Undergraduate STEM Program in Resilient and Sustainable Infrastructure." 2019 ASEE Annual Conference & Exposition Proceedings , no. : 1.

Conference paper
Published: 08 September 2020 in 2020 ASEE Virtual Annual Conference Content Access Proceedings
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The devastation caused by recent natural disasters, such as earthquakes, tsunamis, and hurricanes, has increased awareness regarding the importance of providing interdisciplinary solutions to complex infrastructure challenges. In October 2018, the University of Puerto Rico received a Hispanic Serving Institution (HSI) collaborative award from the National Science Foundation (NSF) to develop an integrated curriculum on resilient and sustainable infrastructure. The project titled “Resilient Infrastructure and Sustainability Education – Undergraduate Program (RISE-UP) aims to educate future environmental designers and engineers to design and build a more resilient and sustainable infrastructure for Puerto Rico. This paper presents the design, initial implementation, and assessment of a curriculum encompassing synergistic interactions among these four domains: integrated project delivery, user-centered design, interdisciplinary problem-solving, and sustainability and resiliency. The project seeks to foster interdisciplinary problem-solving skills involving architects, engineers and construction managers, in order to better prepare them to face and provide solutions to minimize the impact of extreme natural environment events on infrastructure. The new curriculum stresses on problem-settings, the role that participants have on defining the characteristics of the problems that have to be solved, learning in action, reflecting on the process, and communication between the different stakeholders. This multisite and interdisciplinary program provides students with the necessary support, knowledge, and skills necessary to design and build resilient and sustainable infrastructure. This instructional endeavor consists of four courses designed to reduce gradually the difference between what students are able to accomplish with support structures and what students are able to accomplish on their own. To maximize and enhance the educational experience, the program blends a technology-infused classroom learning with broad co-curricular opportunities such as site visits, undergraduate research, and internships. As students advance in the program, they will be exposed and required to perform increasingly complex tasks. During the first year of the program, the following outcomes were achieved: 1) implementation of the faculty teamwork process to develop courses and analyze cases from an interdisciplinary perspective, 2) development and approval of an interdisciplinary curriculum on resilient and sustainable infrastructure, 3) development of case studies on situations associated with disaster and interdisciplinary responses, 4) development of a case study database, 5) establishment of an Advisory Board with government agency representatives and faculty, and 6) recruitment and enrollment of 30 students as the first RISE-UP cohort. In summary, the body of knowledge acquired from this project can serve as a model that can be replicated to develop and enhance academic programs at other institutions.

ACS Style

Carla Lopez Del Puerto; Humberto Eduardo Cavallin; Oscar Marcelo Suarez; Jonathan Munoz Barreto; Jose L. Perdomo; Drianfel E. Vázquez; Fabio Andrade Rengifo; Luisa Guillemard; Ormari Troche. Design and Assessment of Architecture/Engineering/Construction (AEC) Curricula for Resilient and Sustainable Infrastructure. 2020 ASEE Virtual Annual Conference Content Access Proceedings 2020, 1 .

AMA Style

Carla Lopez Del Puerto, Humberto Eduardo Cavallin, Oscar Marcelo Suarez, Jonathan Munoz Barreto, Jose L. Perdomo, Drianfel E. Vázquez, Fabio Andrade Rengifo, Luisa Guillemard, Ormari Troche. Design and Assessment of Architecture/Engineering/Construction (AEC) Curricula for Resilient and Sustainable Infrastructure. 2020 ASEE Virtual Annual Conference Content Access Proceedings. 2020; ():1.

Chicago/Turabian Style

Carla Lopez Del Puerto; Humberto Eduardo Cavallin; Oscar Marcelo Suarez; Jonathan Munoz Barreto; Jose L. Perdomo; Drianfel E. Vázquez; Fabio Andrade Rengifo; Luisa Guillemard; Ormari Troche. 2020. "Design and Assessment of Architecture/Engineering/Construction (AEC) Curricula for Resilient and Sustainable Infrastructure." 2020 ASEE Virtual Annual Conference Content Access Proceedings , no. : 1.

Journal article
Published: 25 June 2020 in Energies
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In this work, a synchronous model for grid-connected and islanded microgrids is presented. The grid-connected model is based on the premise that the reference frame is synchronized with the AC bus. The quadrature component of the AC bus voltage can be cancelled, which allows to express output power as a linear equation for nominal values in the AC bus amplitude voltage. The model for the islanded microgrid is developed by integrating all the inverter dynamics using a state-space model for the load currents. This model is presented in a comprehensive way such that it could be scalable to any number of inverter-based generators using inductor–capacitor–inductor (LCL) output filters. The use of these models allows designers to assess microgrid stability and robustness using modern control methods such as eigenvalue analysis and singular value diagrams. Both models were tested and validated in an experimental setup to demonstrate their accuracy in describing microgrid dynamics. In addition, three scenarios are presented: non-controlled model, Linear-Quadratic Integrator (LQI) power control, and Power-Voltage (PQ/Vdq) droop–boost controller. Experimental results demonstrate the effectiveness of the control strategies and the accuracy of the models to describe microgrid dynamics.

ACS Style

Juan F. Patarroyo-Montenegro; Jesus D. Vasquez-Plaza; Fabio Andrade. A State-Space Model of an Inverter-Based Microgrid for Multivariable Feedback Control Analysis and Design. Energies 2020, 13, 3279 .

AMA Style

Juan F. Patarroyo-Montenegro, Jesus D. Vasquez-Plaza, Fabio Andrade. A State-Space Model of an Inverter-Based Microgrid for Multivariable Feedback Control Analysis and Design. Energies. 2020; 13 (12):3279.

Chicago/Turabian Style

Juan F. Patarroyo-Montenegro; Jesus D. Vasquez-Plaza; Fabio Andrade. 2020. "A State-Space Model of an Inverter-Based Microgrid for Multivariable Feedback Control Analysis and Design." Energies 13, no. 12: 3279.

Conference paper
Published: 01 February 2020 in 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
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Microgrids, especially renewable-based, represent an opportunity to increase sustainability and resiliency in places prone to natural disasters. The aftermath of hurricane María accelerated the discussion in Puerto Rico about supporting microgrids as an energy policy and strategy to build a different power grid. This paper presents an overview of microgrid literature relevant to Puerto Rico and it is used to identify best practices. The paper also describes a recommended process for feasibility studies needed to develop a community microgrids based on distributed energy resources (DER). An example applying this process to an actual community is also included in the paper.

ACS Style

Edison Pares-Atiles; Efrain O'Neill-Carrillo; Fabio Andrade. Best Practices for Microgrids Applied to a Case Study in a Community. 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) 2020, 1 -5.

AMA Style

Edison Pares-Atiles, Efrain O'Neill-Carrillo, Fabio Andrade. Best Practices for Microgrids Applied to a Case Study in a Community. 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT). 2020; ():1-5.

Chicago/Turabian Style

Edison Pares-Atiles; Efrain O'Neill-Carrillo; Fabio Andrade. 2020. "Best Practices for Microgrids Applied to a Case Study in a Community." 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) , no. : 1-5.

Journal article
Published: 01 January 2020 in DYNA ENERGIA Y SOSTENIBILIDAD
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RESUMEN: La ruta para lograr un mayor uso de energía renovable requiere atender de forma integrada desafíos técnicos, políticos y económicos. El objetivo de este artículo es presentar esa integración socio-técnica al analizar las lecciones aprendidas en energía renovable a través de dos trabajos sobre Puerto Rico. Se presentan las dificultades del mercado de energía renovable a gran escala considerando aceptación social, de mercado y perspectivas técnicas, y las lecciones sobre las características necesarias: un proceso de selección claro para garantizar los proyectos más adecuados (tanto social como técnicamente), consistencia en las decisiones administrativas para lograr la confianza entre los interesados, inclusión efectiva de las comunidades locales para la aceptación social y transparencia en el establecimiento de requisitos técnicos de interconexión. Teniendo en cuenta los obstáculos en el mercado renovable a gran escala en Puerto Rico, la energía distribuida se presenta como una alternativa viable que puede abordar mejor los desafíos sociales y técnicos de los sistemas renovables en zonas tropicales, en particular las microrredes comunitarias. Palabras clave: Fuentes de energía renovables, implicaciones sociales de la tecnología, desarrollo sostenible, microrredes.

ACS Style

Fabio Andrade; Efrain O'neill Carrillo; Loraima Jaramillo; Isaac Jordan Forty. LECCIONES APRENDIDAS DE LAS IMPLEMENTACIONES DE LAS POLÍTICAS DE ENERGÍAS RENOVABLES: EL CASO DE PUERTO RICO. DYNA ENERGIA Y SOSTENIBILIDAD 2020, 9, [8 p.] -[8 p.].

AMA Style

Fabio Andrade, Efrain O'neill Carrillo, Loraima Jaramillo, Isaac Jordan Forty. LECCIONES APRENDIDAS DE LAS IMPLEMENTACIONES DE LAS POLÍTICAS DE ENERGÍAS RENOVABLES: EL CASO DE PUERTO RICO. DYNA ENERGIA Y SOSTENIBILIDAD. 2020; 9 (1):[8 p.]-[8 p.].

Chicago/Turabian Style

Fabio Andrade; Efrain O'neill Carrillo; Loraima Jaramillo; Isaac Jordan Forty. 2020. "LECCIONES APRENDIDAS DE LAS IMPLEMENTACIONES DE LAS POLÍTICAS DE ENERGÍAS RENOVABLES: EL CASO DE PUERTO RICO." DYNA ENERGIA Y SOSTENIBILIDAD 9, no. 1: [8 p.]-[8 p.].

Journal article
Published: 19 February 2019 in IEEE Power and Energy Technology Systems Journal
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ACS Style

Alexis Kwasinski; Fabio Andrade; Marcel J. Castro-Sitiriche; Efrain O'neill-Carrillo. Hurricane Maria Effects on Puerto Rico Electric Power Infrastructure. IEEE Power and Energy Technology Systems Journal 2019, 6, 85 -94.

AMA Style

Alexis Kwasinski, Fabio Andrade, Marcel J. Castro-Sitiriche, Efrain O'neill-Carrillo. Hurricane Maria Effects on Puerto Rico Electric Power Infrastructure. IEEE Power and Energy Technology Systems Journal. 2019; 6 (1):85-94.

Chicago/Turabian Style

Alexis Kwasinski; Fabio Andrade; Marcel J. Castro-Sitiriche; Efrain O'neill-Carrillo. 2019. "Hurricane Maria Effects on Puerto Rico Electric Power Infrastructure." IEEE Power and Energy Technology Systems Journal 6, no. 1: 85-94.

Journal article
Published: 27 August 2018 in Inventions
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A recurring issue when studying agent-based algorithms and strategies for Power Microgrid Systems is having to construct an interface between the agent domain and the electrical model domain being simulated. Many different tools exist for such simulations, each with its own special external interface. Although many interfacing efforts have been published before, many of them support only special cases, while others are too complex and require a long learning curve to be used for even simple scenarios. This work presents a simple programming application interface (API) that aims to provide programming access to the electrical system model for any real-time simulation tool, from any agent-based platform, or programming language. The simplicity of the interface stems from the assumption that the simulation happens in real-time and the agent domain is not being simulated. We propose four basic operations for the API: read, write, call, and subscribe/call-back. We tested these by supporting two examples. In one of the examples, we present a creative way to have the model access libraries that are not available in the simulated environment.

ACS Style

Carlos J. Vélez-Rivera; Fabio Andrade; Emmanuel Arzuaga-Cruz; Agustín Irizarry-Rivera. Gorilla: An Open Interface for Smart Agents and Real-Time Power Microgrid System Simulations. Inventions 2018, 3, 58 .

AMA Style

Carlos J. Vélez-Rivera, Fabio Andrade, Emmanuel Arzuaga-Cruz, Agustín Irizarry-Rivera. Gorilla: An Open Interface for Smart Agents and Real-Time Power Microgrid System Simulations. Inventions. 2018; 3 (3):58.

Chicago/Turabian Style

Carlos J. Vélez-Rivera; Fabio Andrade; Emmanuel Arzuaga-Cruz; Agustín Irizarry-Rivera. 2018. "Gorilla: An Open Interface for Smart Agents and Real-Time Power Microgrid System Simulations." Inventions 3, no. 3: 58.

Conference paper
Published: 12 December 2016 in 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
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This paper presents an intelligent battery management system (iBMS) used in a grid-connected Microgrid. The microgrid is composed by a PV generator, Battery system and a small residential group. This microgrid is located in a Caribbean zone which an average solar radiation greater than 1000 W/m2 but with large intermittency due to the movement of clouds. The iBMS considers a fuzzy controller whose rules are defined by the behavior of the people living in the houses, the intermittent energy available from the PV generator, the state of charge (SOC) of the battery and the contracted power from the electric mains. Also the iBMS considered a block of demand respond (DR) from a non-critical electric loads available in houses. The mail objectives of the iBMS is to supply electric power to houses using the available energy, not to generate disturbance to the electric mains and always to maintain the battery SOC in the possible maximum.

ACS Style

Christopher Lebron; Fabio Andrade; Efrain O'Neill; Agustin Irizarry. An intelligent Battery management system for home Microgrids. 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) 2016, 1 -5.

AMA Style

Christopher Lebron, Fabio Andrade, Efrain O'Neill, Agustin Irizarry. An intelligent Battery management system for home Microgrids. 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT). 2016; ():1-5.

Chicago/Turabian Style

Christopher Lebron; Fabio Andrade; Efrain O'Neill; Agustin Irizarry. 2016. "An intelligent Battery management system for home Microgrids." 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) , no. : 1-5.

Proceedings article
Published: 01 October 2016 in 2016 IEEE ANDESCON
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This paper presents an intelligent battery management system (iBMS) used in Home Microgrid working in a grid-connected and island mode. The microgrid is composed by a PV generator, Battery system and a small residential group. This microgrid is located in a Caribbean zone which an average solar radiation greater than 1000 W/m 2 but, with large intermittency due to the movement of cloud and also a high probability of weather disasters. The iBMS considers a fuzzy controller for both grid-connected and island mode. The rules are defined by the behavior of the people living in houses, the intermittent energy available from the PV generator, the state of charge (SOC) of the battery and the contracted power from the electric mains. Also the iBMS considered two blocks of demand respond (DR) using non-critical electric loads available in houses. The main objectives of the iBMS is to supply electric power to houses using the available energy, not to generate disturbance to the electric mains when the microgrid is working in connected mode, and also always to maintain the battery SOC in the possible maximum.

ACS Style

Christopher Lebron; Fabio Andrade. An intelligent battery management system based on fuzzy controller for home microgrid working in grid-connected and island mode. 2016 IEEE ANDESCON 2016, 1 -4.

AMA Style

Christopher Lebron, Fabio Andrade. An intelligent battery management system based on fuzzy controller for home microgrid working in grid-connected and island mode. 2016 IEEE ANDESCON. 2016; ():1-4.

Chicago/Turabian Style

Christopher Lebron; Fabio Andrade. 2016. "An intelligent battery management system based on fuzzy controller for home microgrid working in grid-connected and island mode." 2016 IEEE ANDESCON , no. : 1-4.

Proceedings article
Published: 01 October 2016 in 2016 IEEE ANDESCON
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The challenge of climate change is real and growing. Every car manufacturing plant must look deep into its operations and use every opportunity to play its part in reducing overall emissions. Furthermore, due to the increased competition of the sector, they must turn to solutions that can reduce their costs, but maintaining the products quality on high standards. One way to achieve that goal, which is also the focus of this work, is by reducing the energy use in the plants operation processes. This paper presents a hybrid optimization methodology, combined by neuro-fuzzy inference systems and the quadratic programming algorithm, to calculate the short-term demand forecasting of a plant, and to optimize its energy flow. Moreover, the dynamic models of the plant's equipment are considered into the optimization process, to calculate the dynamic system response and the equipment's inertias. Finally, the algorithm optimizes the operation of the plant with objective to fulfill the energy demand, minimizing several optimization criteria. The presented methodology has been tested and evaluated in an automotive factory plant of Spain using real production and consumption data.

ACS Style

Konstantinos Kampouropoulos; Fabio Andrade. Energy hub optimization applied on car manufacturing plants. 2016 IEEE ANDESCON 2016, 1 -4.

AMA Style

Konstantinos Kampouropoulos, Fabio Andrade. Energy hub optimization applied on car manufacturing plants. 2016 IEEE ANDESCON. 2016; ():1-4.

Chicago/Turabian Style

Konstantinos Kampouropoulos; Fabio Andrade. 2016. "Energy hub optimization applied on car manufacturing plants." 2016 IEEE ANDESCON , no. : 1-4.

Journal article
Published: 14 September 2016 in IEEE Transactions on Smart Grid
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This paper presents a novel method for the energy optimization of multi-carrier energy systems. The presented method combines an adaptive neuro-fuzzy inference system, to model and forecast the power demand of a plant, and a genetic algorithm to optimize its energy flow taking into account the dynamics of the system and the equipment’s thermal inertias. The objective of the optimization algorithm is to satisfy the total power demand of the plant and to minimize a set of optimization criteria, formulated as energy usage, monetary cost and environmental cost. The presented method has been validated under real conditions in the car manufacturing plant of SEAT in Spain in the framework of an FP7 European research project.

ACS Style

Konstantinos Kampouropoulos; Fabio Andrade; Enric Sala-Cardoso; Antoni Garcia Espinosa; Jose Luis Romeral. Multiobjective Optimization of Multi-Carrier Energy System Using a Combination of ANFIS and Genetic Algorithms. IEEE Transactions on Smart Grid 2016, 9, 2276 -2283.

AMA Style

Konstantinos Kampouropoulos, Fabio Andrade, Enric Sala-Cardoso, Antoni Garcia Espinosa, Jose Luis Romeral. Multiobjective Optimization of Multi-Carrier Energy System Using a Combination of ANFIS and Genetic Algorithms. IEEE Transactions on Smart Grid. 2016; 9 (3):2276-2283.

Chicago/Turabian Style

Konstantinos Kampouropoulos; Fabio Andrade; Enric Sala-Cardoso; Antoni Garcia Espinosa; Jose Luis Romeral. 2016. "Multiobjective Optimization of Multi-Carrier Energy System Using a Combination of ANFIS and Genetic Algorithms." IEEE Transactions on Smart Grid 9, no. 3: 2276-2283.

Conference paper
Published: 01 July 2015 in 2015 IEEE Power & Energy Society General Meeting
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Electrical vehicle (EV) chargers are going to occupy a considerable portion of total energy consumption in the future smart grid. Fast charging stations (FCS), as the most demanding representatives of charging infrastructure, will be requested to provide some ancillary services to the power system in order to support basic electrical operation. This paper proposes a local implementation of a hysteresis-based aggregation algorithm for coordinated control of multiple stations that can provide functions such as peak shaving, spinning reserves, frequency control, regulation and load following. Local control is achieved by distributed bus signaling control which exploits multiple flywheel energy storage systems to respond to the system-level control signals without compromising EV charging process. Due to switching nature of the system, a common Lyapunov function has been found in order to prove its stability. Finally, corresponding hardware in the loop results based on dSPACE1006 platform have been reported in order to verify the validity of proposed approach.

ACS Style

Bo Sun; Tomislav Dragicevic; Fabio Andrade; Juan C. Vasquez; Josep Guerrero. Provision of flexible load control by multi-flywheel-energy-storage system in electrical vehicle charging stations. 2015 IEEE Power & Energy Society General Meeting 2015, 1 -5.

AMA Style

Bo Sun, Tomislav Dragicevic, Fabio Andrade, Juan C. Vasquez, Josep Guerrero. Provision of flexible load control by multi-flywheel-energy-storage system in electrical vehicle charging stations. 2015 IEEE Power & Energy Society General Meeting. 2015; ():1-5.

Chicago/Turabian Style

Bo Sun; Tomislav Dragicevic; Fabio Andrade; Juan C. Vasquez; Josep Guerrero. 2015. "Provision of flexible load control by multi-flywheel-energy-storage system in electrical vehicle charging stations." 2015 IEEE Power & Energy Society General Meeting , no. : 1-5.

Conference paper
Published: 01 June 2015 in 2015 9th International Conference on Power Electronics and ECCE Asia (ICPE-ECCE Asia)
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Grid-connected microgrids with storage systems are reliable configurations for critical loads which can not tolerate interruptions of energy supply. In such cases, some of the energy resources should be scheduled in order to coordinate optimally the power generation according to a defined objective function. This paper defines a generationside power scheduling and economic dispatch of a grid-connected microgrid that supplies a fixed load and then, the scheduling is enhanced by including penalties in order to increase the use of the renewable energy sources and guarantee a high state of charge in the storage system for the next day. Linear models are proposed for the scheduling which are implemented in GAMS. The microgrid model is obtained deploying MATLAB/Simulink toolbox and then downloaded into dSPACE 1006 platform based on real-time simulation to test the economic dispatch. A compromise between cost and use of renewable energy is achieved.

ACS Style

Adriana C. Luna; Nelson L. Diaz; Fabio Andrade; Moisès Graells; Josep M. Guerrero; Juan C. Vasquez; Luna Adriana C.. Economic power dispatch of distributed generators in a grid-connected microgrid. 2015 9th International Conference on Power Electronics and ECCE Asia (ICPE-ECCE Asia) 2015, 1161 -1168.

AMA Style

Adriana C. Luna, Nelson L. Diaz, Fabio Andrade, Moisès Graells, Josep M. Guerrero, Juan C. Vasquez, Luna Adriana C.. Economic power dispatch of distributed generators in a grid-connected microgrid. 2015 9th International Conference on Power Electronics and ECCE Asia (ICPE-ECCE Asia). 2015; ():1161-1168.

Chicago/Turabian Style

Adriana C. Luna; Nelson L. Diaz; Fabio Andrade; Moisès Graells; Josep M. Guerrero; Juan C. Vasquez; Luna Adriana C.. 2015. "Economic power dispatch of distributed generators in a grid-connected microgrid." 2015 9th International Conference on Power Electronics and ECCE Asia (ICPE-ECCE Asia) , no. : 1161-1168.

Conference paper
Published: 01 March 2015 in 2015 IEEE Applied Power Electronics Conference and Exposition (APEC)
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This paper presents the development of a microgrid central controller in an inverter-based intelligent microgrid (iMG) lab in Aalborg University, Denmark. The iMG lab aims to provide a flexible experimental platform for comprehensive studies of microgrids. The complete control system applied in this lab is based on the hierarchical control scheme for microgrids and includes primary, secondary and tertiary control. The structure of the lab, including the lab facilities, configurations and communication network, is first introduced. Primary control loops are developed in MATLAB/Simulink and compiled to dSPACEs for local control purposes. In order to realize system supervision and proper secondary and tertiary management, a LabVIEW-based microgrid central controller is also developed. The software and hardware schemes are described. An example case is introduced and tested in the iMG lab for voltage/frequency restoration and voltage unbalance compensation. Experimental results are presented to show the performance of the whole system.

ACS Style

Lexuan Meng; Mehdi Savaghebi; Fabio Andrade; Juan C. Vasquez; Josep Guerrero; Moises Graells. Microgrid central controller development and hierarchical control implementation in the intelligent microgrid lab of Aalborg University. 2015 IEEE Applied Power Electronics Conference and Exposition (APEC) 2015, 2585 -2592.

AMA Style

Lexuan Meng, Mehdi Savaghebi, Fabio Andrade, Juan C. Vasquez, Josep Guerrero, Moises Graells. Microgrid central controller development and hierarchical control implementation in the intelligent microgrid lab of Aalborg University. 2015 IEEE Applied Power Electronics Conference and Exposition (APEC). 2015; ():2585-2592.

Chicago/Turabian Style

Lexuan Meng; Mehdi Savaghebi; Fabio Andrade; Juan C. Vasquez; Josep Guerrero; Moises Graells. 2015. "Microgrid central controller development and hierarchical control implementation in the intelligent microgrid lab of Aalborg University." 2015 IEEE Applied Power Electronics Conference and Exposition (APEC) , no. : 2585-2592.

Conference paper
Published: 01 October 2014 in IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society
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Model predictive control algorithms have recently gained more importance in the field of power electronics and motor drives. One of the important categories of model predictive control methods is improved deadbeat control in which the reverse system model is used to calculate the appropriate inputs for the next iteration of controlling process. In this paper, a new improved deadbeat algorithm is proposed to control the stator currents of a five-phase BLDC machine. Extended Kalman filter is used in the structure of proposed controlling method, and system model equations are used to calculate the appropriate voltages for the next modulation period. Proposed controlling method is evaluated by simulations in MATLAB environment.

ACS Style

Ramin Salehi Arashloo; Mehdi Salehifar; Jose Luis Romeral Martinez; Fabio Andrade. Predictive deadbeat current control of five-phase BLDC machines. IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society 2014, 3049 -3053.

AMA Style

Ramin Salehi Arashloo, Mehdi Salehifar, Jose Luis Romeral Martinez, Fabio Andrade. Predictive deadbeat current control of five-phase BLDC machines. IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society. 2014; ():3049-3053.

Chicago/Turabian Style

Ramin Salehi Arashloo; Mehdi Salehifar; Jose Luis Romeral Martinez; Fabio Andrade. 2014. "Predictive deadbeat current control of five-phase BLDC machines." IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society , no. : 3049-3053.

Conference paper
Published: 01 October 2014 in IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society
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This document analyses the large-signal stability for an inverter-based generator such as photovoltaic and wind power sources. The objective of this study is to determine the stability region taking into account the electrical and control signal of the generator. The generator uses the concept of the electrostatic machine for the model of the generator. Finally, the applied procedure to find the Lyapunov's function is the Popov method, which not only permits to generate a valid function but also to determine the stability region of the system.

ACS Style

Fabio Andrade; Konstantinos Kampouropoulos; Luís Romeral; Juan Carlos Vasquez; Josep M. Guerrero. Study of large-signal stability of an inverter-based generator using a Lyapunov function. IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society 2014, 1840 -1846.

AMA Style

Fabio Andrade, Konstantinos Kampouropoulos, Luís Romeral, Juan Carlos Vasquez, Josep M. Guerrero. Study of large-signal stability of an inverter-based generator using a Lyapunov function. IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society. 2014; ():1840-1846.

Chicago/Turabian Style

Fabio Andrade; Konstantinos Kampouropoulos; Luís Romeral; Juan Carlos Vasquez; Josep M. Guerrero. 2014. "Study of large-signal stability of an inverter-based generator using a Lyapunov function." IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society , no. : 1840-1846.