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About

I'm graduated in Electrical Engineering from the University of Trás-os-Montes e Alto Douro (UTAD), Portugal in 1991. I have obtained the M.Sc. degree in Power Electronics in 1997 from UTAD and the Ph.D. degree in Electrical Engineering (Harmonic distortion analysis on the LV distribution networks) in 2007 from UTAD. Presently, I'm an Auxiliar Professor in the Department of Electrical Engineering, UTAD and also a INESCTEC researcher in power quality, electrical machines and renewables. My main interest areas are power quality, electrical machines and renewables.

Interest
Topics
Details

Details

  • Name

    José Ribeiro Baptista
  • Cluster

    Power and Energy
  • Role

    Affiliated Researcher
  • Since

    01st October 2012
Publications

2021

Wind Farm Cable Connection Layout Optimization with Several Substations

Authors
Cerveira, A; Pires, EJS; Baptista, J;

Publication
ENERGIES

Abstract
Green energy has become a media issue due to climate changes, and consequently, the population has become more aware of pollution. Wind farms are an essential energy production alternative to fossil energy. The incentive to produce wind energy was a government policy some decades ago to decrease carbon emissions. In recent decades, wind farms were formed by a substation and a couple of turbines. Nowadays, wind farms are designed with hundreds of turbines requiring more than one substation. This paper formulates an integer linear programming model to design wind farms' cable layout with several turbines. The proposed model obtains the optimal solution considering different cable types, infrastructure costs, and energy losses. An additional constraint was considered to limit the number of cables that cross a walkway, i.e., the number of connections between a set of wind turbines and the remaining wind farm. Furthermore, considering a discrete set of possible turbine locations, the model allows identifying those that should be present in the optimal solution, thereby addressing the optimal location of the substation(s) in the wind farm. The paper illustrates solutions and the associated costs of two wind farms, with up to 102 turbines and three substations in the optimal solution, selected among sixteen possible places. The optimal solutions are obtained in a short time.

2021

An Optimization Model for Scheduling of Households Load Profiles Incorporating Electric Vehicles Charging

Authors
Barros, P; Cerveira, A; Baptista, J;

Publication
Advances in Intelligent Systems and Computing - Intelligent Systems Design and Applications

Abstract

2020

Portuguese national potential for floating photovoltaic systems: A case study

Authors
Baptista, J; Vargas, P;

Publication
Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020

Abstract
Over the past few decades, much has been done globally to make final energy consumption more sustainable, integrating more renewable resources. In Europe, there are many directives and regulations that imposes to the states ambitious targets on the promotion of renewable energies and energetic efficiency among others. Portugal has not only fulfilled all the goals but has also exceeded them. This is the case with the integration of renewables in electricity consumption, which is currently rated at 53 %, with the prospect of reaching 80% in 2030. In this scenario, it is important to encourage the energy production from the solar resource as the country has optimal conditions for this purpose. This research assess the existing Portuguese potential for floating photovoltaic systems and its integration in the power grid. Another aim of this study is to sizing and assesses the energetic potential of floating solar power plant in Gouvães dam, included in the Tãmega hydroelectric complex in under construction in northern Portugal belong to Iberdrola Company. © 2020 IEEE.

2020

Data mining for remuneration of consumers demand response participation

Authors
Ribeiro, C; Pinto, T; Vale, Z; Baptista, J;

Publication
Communications in Computer and Information Science

Abstract
With the implementation of micro grids and smart grids, new business models able to cope with the new opportunities are being developed. Virtual Power Players are a player that allows aggregating a diversity of entities, to facilitate their participation in the electricity markets and to provide a set of new services promoting generation and consumption efficiency, while improving players’ benefits. The elastic behavior of the demand consumption jointly used with other available resources such as distributed generation (DG) can play a crucial role for the success of smart grids. This paper proposes methodologies to develop strategic remuneration of aggregated consumers with demand response participation, this model uses a clustering algorithm, applied on values that were obtained from a scheduling methodology of a real Portuguese distribution network with 937 buses, 20310 consumers and 548 distributed generators. The normalization methods and clustering methodologies were applied to several variables of different consumers, which creates sub-groups of data according to their correlations. The clustering process is evaluated so that the number of data sub-groups that brings the most added value for the decision-making process is found, according to players characteristics. © Springer Nature Switzerland AG 2020.

2020

Development of an Efficient Tool for Solar Charging Station Management for Electric Vehicles

Authors
Steinschaden, S; Baptista, J;

Publication
ENERGIES

Abstract
One important goal of the climate commitment in the European Union (EU) is to reduce primary energy demand in the transport sector and increase the use of renewables, since around 33% of primary energy is consumed in this sector. Therefore, the EU ordered its member states to raise the number of electric vehicles (EVs) within Europe. Consequently, the energy demand for electricity will rise as a function of the number of EVs. To avoid local grid overload and guarantee a higher percentage of clean energy, EV charging stations can be supported by a combined system of grid-connected photovoltaic modules and battery storage. In this paper, the focus lies on the feasibility and economic aspects of such systems. To provide an overview of the different e-charging station combinations, a support tool was modelled and developed, making it possible to size and manage EVs charging stations with only a few input parameters. Thanks to its easy handling, the tool suits a wide spectrum of users. Due to enhanced optional settings, this tool is suitable for detailed input parameters for professionals as well. Input categories are basically divided into the photovoltaic (PV) system, battery storage, the charging station itself, and investment analysis. The tool supports decisions for solar charging stations designed for different parking locations like offices, schools, and public and private places.

Supervised
thesis

2019

Remuneration and Tariffs in the Context of Virtual Power Players

Author
Ana Catarina Silva Ribeiro

Institution
UTAD

2019

Actuação Cooperativa de Conversores em Redes Eléctricas Inteligentes

Author
Amaro Miguel Ferreira Antunes

Institution
UTAD

2018

Remuneration and Tariffs in the Context of Virtual Power Players

Author
Ana Catarina Ribeiro

Institution
UTAD

2018

Actuação Cooperativa de Conversores em Redes Eléctricas Inteligentes

Author
Amaro Miguel Ferreira Antunes

Institution
UTAD

2017

Remuneration and Tariffs in the Context of Virtual Power Players

Author
Ana Catarina Ribeiro

Institution
UTAD