Phillipe Vilaça

Phillipe Vilaça

GET-COFUND MarieS.Curie Fellow at URJC

Transmission flexibility planning for energy transition: Making smart decisions under uncertainty - TransFlex

About the research project «Transmission flexibility planning for energy transition: Making smart decisions under uncertainty – TransFlex»

Research line: Computing tools applied to renewable energy analysis

Mentor: Prof. Abraham Duarte Muñoz (URJC)

Abstract

The TransFlex project aims at developing a set of tools for the Transmission Expansion Planning problem(TEP) for the energy transition and considering the main gaps identified from the literature review, namely: i. AC behavior of the transmission networks; ii. The N-1 contingency criterion; iii. the dynamic and multiyear nature of the TEP problem, ensuring the holistic view of the planning; iv. uncertainties inherent in renewable sources, specifically solar and wind; v. the load and renewable daily fluctuations; and vi. the massive adoption of Distributed Energy Resources (DER) and electric vehicles (EV). Thus, to deal with the mentioned challenges, the project will focus on the development of algorithms using artificial intelligence and robust optimization techniques.

 

About Phillipe Vilaça

Phillipe Vilaça Gomes obtained a Bachelor’s degree in Electrical Engineering in 2014 from the Faculty of Engineering of the Federal University of Juiz de Fora, Brazil, and a Ph.D. degree in Electrical and Computer Engineering in 2018 from the Faculty of Engineering of the University of Porto, Portugal. He was an assistant researcher (2014 to 2018) and a post-doctoral researcher (2018 to 2019) at the Institute for Systems and Computer Engineering, Technology and Science (INESC-TEC), in Portugal, where he developed studies and reports related to the new tariff structure in Portugal for the main distribution company, EDP. In addition, he also developed studies and reports regarding survival analysis and planning of transformers fleet (horizon 2020-2030) for EDP. He carried out studies and reports for the Madeira Energy Company, regarding the optimum share of renewable energies with intermittent characteristics (solar and wind). He was one of the researchers responsible for carrying out the opinions related to the 10-years transmission plan, PDIRT, for the 2020-2029 period.

 

Phillipe Vilaça works as a reviewer in the main journals in the field of energy systems (IEEE Transactions on Power Systems, Electric Power Systems Research, Renewable Energy, International Journal of Electrical Power & Energy Systems, International Transactions on Electrical Energy Systems, Swarm and Evolutionary Computation Journal, etc.). Phillipe Vilaça was part of the organizing committee of the European Energy Market international conference in 2016. He is the author of more than 20 scientific articles in international conferences and journals. He was Assistant Professor (mainboard) at the electrical engineering department at PUC-Rio. In 2020, he received the distinction of Marie-Skoldoska Currie Fellow by the European Committee. Currently, he is a postdoctoral researcher at the department of computer science in the King Juan Carlos University, Spain.

 

Most recent publications:

1. Technical-economic analysis for the integration of PV systems in Brazil considering policy and regulatory issues.
Journal: Energy Policy (Q1).
Authors: Phillipe Vilaça Gomes, Nelson K. Neto, Leonel M Carvalho, Jean Sumaili, João T. Saraiva, Bruno H. Dias, Vladimiro Miranda and Suzana M. Souza.
Status: Published in January 2018.

2. A Novel Efficient Method for Multiyear Multiobjective Dynamic Transmission System Planning.
Journal: International Journal of Electrical Power and Energy Systems (Q1).
Authors: Phillipe Vilaça Gomes and João T. Saraiva.
Status: Published in February 2018.

3. State-of-the-art of transmission expansion planning: a survey from restructuring to renewable and distributed electricity markets.
Journal: International Journal of Electrical Power and Energy Systems (Q1).
Authors: Phillipe Vilaça Gomes and João T. Saraiva.
Status: Published in April 2019.

4. Impact of decision-making models in transmission expansion planning considering large shares of renewable energy sources.
Journal: Electric Power System Research (Q1).
Authors: Phillipe Vilaça Gomes, João T. Saraiva, Leonel Carvalho, Bruno Dias, Leonardo Oliveira.
Status: Published in May 2019.

5. Load Modelling of Active Low Voltage Consumers and Comparative Analysis of Their Impact on Distribution System Expansion Planning. Journal: International transactions on electrical energy systems (Q2).
Authors: Nelson Knak Neto, Alzenira Abaide, Phillipe Vilaça Gomes, Leonel Carvalho, Vladimiro Miranda, Jean Sumaili, Daniel Bernardon.
Status: Published in June 2019.

6. A two-stage strategy for security-constrained AC dynamic transmission expansion planning.
Journal: Electric Power System Research (Q1).
Authors: Phillipe Vilaça Gomes and João Tomé Saraiva.
Status: Published in December 2019.

7. Static transmission expansion planning using Heuristic and metaheuristic techniques.
Conference: IEEE Powertech – Eindhoven, 2015.
Authors: Phillipe Vilaça Gomes and João Tomé Saraiva.

8. Hybrid Discrete Evolutionary PSO for AC dynamic Transmission Expansion Planning.
Conference: IEEE International Energy Conference – Leuven, 2016.
Authors: Phillipe Vilaça Gomes and João Tomé Saraiva.

9. Hybrid Genetic Algorithm for multi-objective Transmission Expansion Planning.
Conference: IEEE International Energy Conference – Leuven, 2016.
Authors: Phillipe Vilaça Gomes and João Tomé Saraiva.

10. Multiyear and multi-criteria AC Transmission Expansion Planning model considering reliability and investment costs.
Conference: IEEE International Conference on the European Energy Market – Porto, 2016.
Authors: Phillipe Vilaça Gomes, João Silva and João Tomé Saraiva.

11. Evaluation of the performance of space reduction technique using AC and DC models in Transmission Expansion problems.
Conference: IEEE International Conference on the European Energy Market – Porto, 2016.
Authors: Phillipe Vilaça Gomes and João Tomé Saraiva.
C6. Transmission System Planning Considering Solar Distributed Generation Penetration.
Conference: IEEE International Conference on the European Energy Market – Dresden, 2017.
Authors: Phillipe Vilaça Gomes and João Tomé Saraiva.

12. Multiyear Transmission Expansion Planning Under Hydrological Uncertainty.
Conference: IEEE Powertech – Manchester, 2017.
Authors: Phillipe Vilaça Gomes and João Tomé Saraiva.

13. Impact of Large Fleets of Plug-In-Electric Vehicles on Transmission Systems Expansion Planning.
Conference: Power Systems Computation Conference (PSCC) – Dublin, 2018.
Authors: Phillipe Vilaça Gomes, João Tomé Saraiva, Mario Domingos, Bruno Dias, Willer de Oliveira and Candia Junior.

14. Optimal Allocation of Maneuvers Devices in Distribution Networks for Reliability Improvement.
Conference: Power Systems Computation Conference (PSCC) – Dublin, 2018.
Authors: Candia Junior, Willer de Oliveira, Bruno Dias, Edimar de Oliveira, Phillipe Vilaça Gomes, Mario Domingos, João Saraiva.

15. A three-stage multi-year transmission expansion planning using heuristic, metaheuristic and decomposition techniques.
Conference: IEEE Powertech – Milan, 2019.
Authors: Luiz Oliveira, João Saraiva, Phillipe Vilaça Gomes and Francisco Freitas.

16. Transmission Expansion Planning – A broad comparison between static and dynamic approaches.
Conference: IEEE International Conference on the European Energy Market – Ljubljana, 2019.
Authors: Luiz Oliveira, Phillipe Vilaça Gomes and João T. Saraiva.

17. Vertical Load Uncertainty at the T/D Boundary under different spatial DER allocation techniques.
Conference: International Conference on Smart Energy Systems and Technologies.
Authors: Fabian Heymann, João Silva, Phillipe Vilaça Gomes, Felipe Joel Soares, Pablo Duenas, João Melo, Vladimiro Miranda.

18. Cost-benefit Analysis on a New Access Tariff: Case Study on the Portuguese System
Conference: IEEE International Conference on the European Energy Market 2020.
Authors:P. Vilaça, J. T. Saraiva and J. N. Fidalgo
ce and robust optimization techniques.