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Phillipe Vilaça Gomes obteve o grau de Bacharel em Engenharia Elétrica pela Faculdade de Engenharia da Universidade Federal de Juiz de Fora (UFJF, 2014 - Brasil) e o grau de Doutor em Engenharia Eletrotécnica e de Computadores pela Faculdade de Engenharia da Universidade do Porto (FEUP, 2018 - Portugal). É pesquisador no Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência (INESC TEC - Portugal) desde 2014, no qual desenvolve diversas pesquisas nas áreas de planejamento energético, políticas energéticas e gestão de ativos do setor elétrico. Phillipe Vilaça é revisor dos seguintes periódicos: IEEE Potentials, Journal of Applied Research and Technology, Energy Policy, Computational Intelligence and Neuroscience, IEEE Access e Renewable Energy. É editor do jornal Progress in Energy & Fuels e foi membro do comitê de organização local do 13º International Conference on the European Energy Market. É autor de 16 artigos científicos em jornais, conferências internacionais e capítulos de livros, sendo, em 14 destes, o primeiro autor. Ficou em terceiro lugar na competição internacional "Evolutionary Computation in Uncertain Environments: A Smart Grid Application" organizada pelo Power and Energy Society e Computational Intelligence Society do IEEE.

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    Phillipe Vilaça Gomes
  • Cluster

    Energia
  • Cargo

    Investigador Colaborador Externo
  • Desde

    01 setembro 2014
004
Publicações

2020

A two-stage strategy for security-constrained AC dynamic transmission expansion planning

Autores
Gomes, PV; Saraiva, JT;

Publicação
Electric Power Systems Research

Abstract
This paper presents a new and promising strategy organized in two stages to solve the dynamic multiyear transmission expansion planning, TEP, problem. Specifically, the first stage is related to the reduction of the search space size and it is conducted by a novel constructive heuristic algorithm (CHA). The second one is responsible for the refinement of the optimal solution plan and it uses a novel evolutionary algorithm based on the best features of particle swarm optimization (PSO) and genetic algorithm (GA). The planning problem is modelled as a dynamic and multiyear approach to ensure that it keeps a holistic view over the entire planning horizon and it aims at minimizing the total system costs comprising the investment and operation costs. Additionally, the N-1 contingency criterion is also considered in the problem. The developed approach was tested using the IEEE 118-Bus test system and the obtained results demonstrate its advantages in terms of efficiency and required computational time. Furthermore, the results demonstrated that the novel strategy can enable the utilization of the AC optimal power flow (OPF) in a faster and reliable way when compared to the standard and widespread DC-OPF model. © 2019 Elsevier B.V.

2019

State-of-the-art of transmission expansion planning: A survey from restructuring to renewable and distributed electricity markets

Autores
Gomes, PV; Saraiva, JT;

Publicação
International Journal of Electrical Power and Energy Systems

Abstract
Transmission Expansion Planning (TEP) problem aims at identifying when and where new equipment as transmission lines, cables and transformers should be inserted on the grid. The transmission upgrade capacity is motivated by several factors as meeting the increasing electricity demand, increasing the reliability of the system and providing non-discriminatory access to cheap generation for consumers. However, TEP problems have been changing over the years as the electrical system evolves. In this way, this paper provides a detailed historical analysis of the evolution of the TEP over the years and the prospects for this challenging task. Furthermore, this study presents an outline review of more than 140 recent articles about TEP problems, literature insights and identified gaps as a critical thinking in how new tools and approaches on TEP can contribute for the new era of renewable and distributed electricity markets. © 2019 Elsevier Ltd

2019

Impact of decision-making models in Transmission Expansion Planning considering large shares of renewable energy sources

Autores
Gomes, PV; Saraiva, JT; Carvalho, L; Dias, B; Oliveira, LW;

Publicação
Electric Power Systems Research

Abstract

2019

Load modeling of active low-voltage consumers and comparative analysis of their impact on distribution system expansion planning

Autores
Knak Neto, NK; Abaide, AD; Miranda, V; Gomes, PV; Carvalho, L; Sumaili, J; Bernardon, DP;

Publicação
International Transactions on Electrical Energy Systems

Abstract
This paper proposes a new probabilistic model for active low-voltage prosumers suitable for distribution expansion planning studies. The load uncertainty of these consumers is considered through a range of load profiles by segmenting the energy consumption according to the different energy uses. Then, consumption adjustments are simulated using a nonhomogenous Poisson process based on the energy usage preferences and the financial gains according to the tariff scheme. A case study based on the modified IEEE 33-Bus test system with real data collected from a Brazilian distribution company is performed in order to analyze the impact of the load profiles in scenarios with high penetration of renewable distributed generation (DG). The experiments carried out reveal that considerable monetary savings in the expansion of the distribution grid can be achieved for this case study (up to 37%) as compared with the alternative with no active demand (AD) by exploiting the flexibility associated with the active behavior of prosumers as a response to price signals and/or by permitting adequate levels for the integration of DG into the distribution grid. © 2019 John Wiley & Sons, Ltd.

2019

Transmission Expansion Planning-A broad comparison between static and dynamic approaches

Autores
De Oliveira, LE; Gomes, PV; Saraiva, JPT;

Publicação
International Conference on the European Energy Market, EEM

Abstract
The Transmission Expansion Planning (TEP) problem aims at identifying a list of equipment, among transmission lines, cables and transformers, that will be installed on the grid over a predefined planning horizon. TEP must also identify the respective periods of installations of the selected pieces-of-equipment to expand the grid. TEP is a mixed-integer non-linear and non-convex problem that requires a huge computational effort to be solved and, for this reason, many authors have been proposing relaxed TEP versions to reduce the mentioned computational burden. In this direction, this paper presents a broad comparison between the relaxed static TEP approach and the complete dynamic TEP. Numerical simulations are conducted using the Garver-6-bus and the RTS-24-bus test systems. The problem is handled by a hybrid tool composed by the Evolutionary Particle Swarm optimization (EPSO) algorithm and a version of Hill-Climbing (HC), besides an AC-optimal power flow model is used to get more realistic operation conditions of the network. Even though dynamic TEP approaches present a higher computational effort, the results show that with this solution approach it is possible to obtain relevant investment savings when compared with the static TEP approach. © 2019 IEEE.

Teses
supervisionadas

2017

Multi-objective long-term transmission expansion planning

Autor
Luiz Eduardo Oliveira

Instituição
UP-FEUP