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About

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

2018

Data mining for prosumers aggregation considering the self-generation

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

Publication
Advances in Intelligent Systems and Computing

Abstract
Several challenges arrive with electrical power restructuring, liberalized electricity markets emerge, aiming to improve the system’s efficiency while offering new economic solutions. Privatization and liberalization of previously nationally owned systems are examples of the transformations that have been applied. Microgrids and smart grids emerge and new business models able to cope with new opportunities start being developed. New types of players appear, allowing aggregating a diversity of entities, e.g. generation, storage, electric vehicles, and consumers, Virtual Power Players (VPPs) are a new type of player that allows aggregating a diversity of players to facilitate their participation in the electricity markets. A major task of VPPs is the remuneration of generation and services (maintenance, market operation costs and energy reserves), as well as charging energy consumption. The paper proposes a normalization method that supports a clustering methodology for the remuneration and tariffs definition. This model uses a clustering algorithm, applied on normalized load values, the value of the micro production, generated in the bus associated to the same load, was subtracted from the value of the consumption of that load. This calculation is performed in a real smart grid on buses with associated micro production. This allows the creation of 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 International Publishing AG 2018.

2017

Remuneration and tariffs in the context of virtual power players

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

Publication
Advances in Intelligent Systems and Computing

Abstract
Power systems have been through deep changes, with their operation in the scope of competitive electricity markets (EM) and the increasingly intensive use of renewable energy sources and distributed generation. This requires new business models able to cope with the new opportunities. Virtual Power Players (VPPs) are a new player type which allows aggregating a diversity of players (distribution Generation, storage units, electrical vehicles, and consumers) to participate in the markets and to provide a set of new services promoting generation and consumption efficiency and to improving players’ benefits. A major task of VPPs is the remuneration of generation and of the services (e.g. market operation costs, and energy reserves) as well as charging energy consumption. This PhD research will contribute by developing fair and strategic remuneration and tariff methodologies, able to allow efficient VPP operation and VPP goals accomplishment in EM. © Springer International Publishing AG 2018.

2016

Optimal Cable Design of Wind Farms: The Infrastructure and Losses Cost Minimization Case

Authors
Cerveira, A; de Sousa, A; Solteiro Pires, EJS; Baptista, J;

Publication
IEEE TRANSACTIONS ON POWER SYSTEMS

Abstract
Wind power is the source of electrical energy that has grown more over the last years, with annual rate in installed capacity around 20%. Therefore, it is important to optimize the production efficiency of wind farms. In a wind farm, the electrical energy is collected at a central substation from different wind turbines placed nearby. This paper addresses the optimal design of the cable network interconnecting the turbines to the substation aiming to minimize not only the infrastructure cost but also the cost of the energy losses in the cables. Although this problem is non-linear, different integer linear programming models are proposed considering the wind farm technical constraints. The models are applied to three real cases Portuguese wind farms. The computational results show that the proposed models are able to compute the optimal solutions for all cases.

2015

Demand Response Programs Design and Use Considering Intensive Penetration of Distributed Generation

Authors
Faria, P; Vale, Z; Baptista, J;

Publication
ENERGIES

Abstract
Further improvements in demand response programs implementation are needed in order to take full advantage of this resource, namely for the participation in energy and reserve market products, requiring adequate aggregation and remuneration of small size resources. The present paper focuses on SPIDER, a demand response simulation that has been improved in order to simulate demand response, including realistic power system simulation. For illustration of the simulator's capabilities, the present paper is proposes a methodology focusing on the aggregation of consumers and generators, providing adequate tolls for the demand response program's adoption by evolved players. The methodology proposed in the present paper focuses on a Virtual Power Player that manages and aggregates the available demand response and distributed generation resources in order to satisfy the required electrical energy demand and reserve. The aggregation of resources is addressed by the use of clustering algorithms, and operation costs for the VPP are minimized. The presented case study is based on a set of 32 consumers and 66 distributed generation units, running on 180 distinct operation scenarios.

2015

Wind farm distribution network optimization

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

Publication
INTEGRATED COMPUTER-AIDED ENGINEERING

Abstract
Wind energy production have been increasing in last years, with an annual growth of the installed capacity rate about 20%. It becomes important to develop optimization techniques to improve the effectiveness of the wind farms. One field in which this can be done is in the distribution network design that interconnects the turbines and the substation. This paper proposes two mathematical models to obtain the optimal electrical interconnection configuration of the wind farm turbines, considering technical constraints. One model minimizes the installation costs and the other one minimizes the installation costs and the energy losses costs registered during the wind farm lifetime. This problem corresponds to a capacitated minimum spanning tree with additional constraints. The proposed models were applied in two real wind farms. A sensitivity analysis is performed over two electrical parameters, the power factor and the load factor. The results show that the electrical losses of the wind farm must be taken into account in the optimization process.

Supervised
thesis

2017

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

2016

DECISION SUPPORT CONCERNING DEMAND RESPONSE PROGRAMS DESIGN AND USE IN SMART GRIDS

Author
Pedro Nuno da Silva Faria

Institution
UTAD

2016

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Author
Chong liu

Institution
UM