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About

About

      Phillipe Vilaça Gomes received the B.S. degree (2014) in electrical engineering from the Federal University of Juiz de Fora, Brazil and the Ph.D. Degree (2018) in electrical and computer engineering from the University of Porto, Portugal. He is researcher in the Centre for Power and Energy Systems at INESC TEC since 2014, in which he develops several studies in the areas of energy planning, energy policies and asset management of the electric sector. Phillipe Vilaça is reviewer of the following international journals: IEEE Potentials, Journal of Applied Research and Technology, Energy Policy, Computational Intelligence and Neuroscience, IEEE Access and Renewable Energy. He is editor of the Progress in Energy & Fuels journal and was also a member of the local organizing committee of the 13th International Conference on the European Energy Market. He is author of 16 scientific articles in journals, international conferences and book chapters, 14 of them as the first author. 

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Details

Details

  • Name

    Phillipe Vilaça Gomes
  • Cluster

    Power and Energy
  • Role

    Researcher
  • Since

    01st September 2014
Publications

2018

Technical-economic analysis for the integration of PV systems in Brazil considering policy and regulatory issues

Authors
Vilaca Gomes, PV; Knak Neto, NK; Carvalho, L; Sumaili, J; Saraiva, JT; Dias, BH; Miranda, V; Souza, SM;

Publication
Energy Policy

Abstract

2018

A novel efficient method for multiyear multiobjective dynamic transmission system planning

Authors
Vilaca Gomes, PV; Saraiva, JT;

Publication
International Journal of Electrical Power & Energy Systems

Abstract

2018

Impact of Large Fleets of Plug-in-Electric Vehicles on Transmission Systems Expansion Planning

Authors
Vilaca Gomes, PV; Saraiva, JT; Coelho, MDP; Dias, BH; Willer, L; Junior, AC;

Publication
2018 POWER SYSTEMS COMPUTATION CONFERENCE (PSCC)

Abstract
Electric vehicles will certainly play an important and increasing role in the transport sector over the next years. As their number grows, they will affect the behavior of the electricity demand seen not only by distribution but also by transmission networks and so changes will also occur in the operation and expansion planning of the power systems. In this sense, this paper addresses the impact of large fleets of Plug-in-Electric Vehicles (PEVs) in transmission equipment investments. The developed model uses evolutionary particle swarm optimization (EPSO) to handle the planning problem over different scenarios regarding the evolution of PEVs and their impact on the demand. These scenarios consider the PEVs penetration level, the availability of charging and the related charging policies. The paper includes a Case Study based on the IEEE 24 busbar power system model for a 10-year period. The model uses an AC Optimal Power Flow to analyse the operation of the system for different investment paths over the years and the results show that coordinating the charging of PEVs can be an interesting solution to postpone the investments in transmission equipment thus reducing the associated costs.

2018

Optimal allocation of maneuver devices in distribution networks for reliability improvement

Authors
Junior, AC; De Oliveira, LW; Dias, BH; De Oliveira, EJ; Gomes, PV; Coelho, MDP; Saraiva, JT;

Publication
20th Power Systems Computation Conference, PSCC 2018

Abstract
A flexible control of the distribution system is an efficient strategy to enhance the grid reliability and quality of service, in this sense, the maneuver devices play an important role to reach flexibility under network faults. In this direction, the present work proposes a new approach to solve the allocation problem of optimal maneuver devices in electric distribution systems (EDS) that considers both permanent and temporary faults. The considered maneuver devices are normally closed switches coupled to the beginning or to the end of distribution branches. The objective is to improve the system reliability with minimal investment cost. The metaheuristic and bio-inspired technique known as artificial immune system (AIS) is applied to handle the discrete feature of the switch allocation problem. The index considered to evaluate the reliability is the system expected outage cost to customers due to supply outages (ECOST). The paper includes a case study with four different simulations using the well-know RBTS Bus 4 test system The obtained results were compared to the literature ones and proved that the proposed approach can lead to promising solutions that establish a suitable trade-off between the reliability and the utility costs. © 2018 Power Systems Computation Conference.

2018

Comparative Analysis of Constructive Heuristic Algorithms for Transmission Expansion Planning

Authors
Gomes, PV; Saraiva, JT;

Publication
U.Porto Journal of Engineering

Abstract
Transmission Expansion Planning (TEP) is a complex optimization problem that has the purpose of determining how the transmission capacity of a network should be enlarged, satisfying the increasing demand. This problem has combinatorial nature and different alternative plans can be designed so that many algorithms can converge towards local optima. This feature drives the development of tools that combine high robustness and low computational effort. This paper presents a comparative analysis and a detailed review of the main Constructive Heuristic Algorithms (CHA) used in the TEP problem. This kind of tools combine low computational effort with reasonable quality solutions and can be associated with other tools to use in a subsequent step in order to improve the final solution. CHAs proved to be very effective and showed good performance as the test results will illustrate.