DISSEMINATION

Coordinated ENErgy Resource manaGEment under uncerTainty considering electrIc vehiCles and demand flexibility in distribution networks

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Articles in Journal

» Robust Energy Resource Management incorporating Risk Analysis using Conditional Value-at-Risk

J. Almeida, J. Soares, F. Lezama, and Z. Vale, “Robust Energy Resource Management Incorporating Risk Analysis Using Conditional Value-at-Risk,” IEEE Access, vol. 10, pp. 16063–16077, 2022. Check full article here.

» A Specialized Long-term Distribution System Expansion Planning Method with the Integration of Distributed Energy Resources

T. D. De Lima, J. F. Franco, F. Lezama, and J. Soares, “A Specialized Long-Term Distribution System Expansion Planning Method With the Integration of Distributed Energy Resources,” IEEE Access, vol. 10, pp. 19133–19148, 2022. Check full article here.

» Local Electricity Markets for Electric Vehicles: An Application Study Using a Decentralized Iterative Approach

R. Faia, J. Soares, M. A. F. Ghazvini, J. F. Franco, Z. Vale. “Local Electricity Markets for Electric Vehicles: An Application Study Using a Decentralized Iterative Approach,” Frontiers in Energy Research, vol. 9, November 2021. Check full article here.

» Joint Optimal Allocation of Electric Vehicle Charging Stations and Renewable Energy Sources Including CO2 Emissions

T.  Lima, J. Franco, F. Lezama, J. Soares, Z. Vale. “Joint Optimal Allocation of Electric Vehicle Charging Stations and Renewable Energy Sources Including CO2 Emissions,” Energy Informatics, vol. 4, September 2021. Check full article here.

» Electric vehicles local flexibility strategies for congestion relief on distribution networks

J. Soares, J. Almeida, L. Gomes, B. Canizes, Z. Vale, and E. A. Neto, “Electric vehicles local flexibility strategies for congestion relief on distribution networks,” Energy Reports, vol. 8, pp. 62-69, Jun. 2022. Check full article here.

» Hour-ahead Energy Resource Scheduling Optimization for Smart Power Distribution Networks considering Local Energy Market

B. Canizes, J. Soares, J. Almeida, and Z. Vale, “Hour-ahead Energy Resource Scheduling Optimization for Smart Power Distribution Networks considering Local Energy Market,” Energy Reports 2022. Check full article here.

» Boosting the Usage of Green Energy for EV Charging in Smart Buildings Managed by an Aggregator Through a Novel Renewable Usage Index

C. Guzmán, N. Arias, J. Franco, J. Soares, Z. Vale, R. Romero, “Boosting the Usage of Green Energy for EV Charging in Smart Buildings Managed by an Aggregator Through a Novel Renewable Usage Index,” IEEE Access 2021, 9, pp. 105357-105368. Check full article here

» Coordination strategies in distribution network considering multiple aggregators and high penetration of electric vehicles

J. Almeida, J. Soares, B. Canizes, Z. Vale, “Coordination strategies in distribution network considering multiple aggregators and high penetration of electric vehicles,” Procedia Computer Science 2021, 186, pp. 698-705. (Presented in 14th International Symposium “Intelligent Systems-2020”). Check full article here

» An Optimization Model for Energy Community Costs Minimization Considering a Local Electricity Market between Prosumers and Electric Vehicles

R. Faia, J. Soares, Z. Vale, J. Corchado, “An Optimization Model for Energy Community Costs Minimization Considering a Local Electricity Market between Prosumers and Electric Vehicles”, Electronics, vol. 10, no. 129, Jan. 2021. Check full article here

» Multi-Objective Electric Vehicles Scheduling Using Elitist Non-Dominated Sorting Genetic Algorithm

H. Morais, T. Sousa, R. Castro, and Z. Vale, “Multi-Objective Electric Vehicles Scheduling Using Elitist Non-Dominated Sorting Genetic Algorithm,” Appl. Sci., vol. 10, no. 22, p. 7978, Nov. 2020. Check full article here

» Assessment of economic benefits for EV owners participating in the primary frequency regulation markets

N. Bañol Arias, S. Hashemi, P. B. Andersen, C. Træholt, and R. Romero, “Assessment of economic benefits for EV owners participating in the primary frequency regulation markets,” Int. J. Electr. Power Energy Syst., vol. 120, p. 105985, Sep. 2020. Check full article here

» Enhanced Coordination Strategy for an Aggregator of Distributed Energy Resources Participating in the Day-Ahead Reserve Market

C. P. Guzman, N. Bañol Arias, J. F. Franco, M. J. Rider, and R. Romero, “Enhanced Coordination Strategy for an Aggregator of Distributed Energy Resources Participating in the Day-Ahead Reserve Market,” Energies, vol. 13, no. 8, p. 1965, Apr. 2020. Check full article here

» Electric Vehicles’ User Charging Behaviour Simulator for a Smart City

B. Canizes, J. Soares, A. Costa, T. Pinto, F. Lezama, P. Novais, Z. Vale (2019). Electric Vehicles’ User Charging Behaviour Simulator for a Smart City. Energies, 12(8), 2019. Check full article here

» Optimal Distribution Grid Operation Using DLMP-Based Pricing for Electric Vehicle Charging Infrastructure in a Smart City

B. Canizes, J. Soares, Z. Vale, J. M. Corchado (2019). Optimal Distribution Grid Operation Using DLMP-Based Pricing for Electric Vehicle Charging Infrastructure in a Smart City. Energies, 2019. Check full article here

» Optimal expansion planning considering storage investment and seasonal effect of demand and renewable generation

B. Canizes, J. Soares, F. Lezama, C. Silva, Z. Vale, J. M. Corchado (2019). Optimal expansion planning considering storage investment and seasonal effect of demand and renewable generation. Renewable Energy, 2019. Check full article here

» Survey on complex optimization and simulation for the new power systems paradigm

J. Soares, T. Pinto, F. Lezama & H. Morais (2018). Survey on complex optimization and simulation for the new power systems paradigm. Complexity2018. Check full article here

» Complex Optimization and SImulation in Power Systems

J. Soares, F. Lezama, T. Pinto, H. Morais, (2018). Editorial Complex Optimization and SImulation in Power Systems, 2018, Check full article here


Articles in Conference

» Sensitivity Analysis of PSO Parameters Solving the P2P Electricity Market Problem

Vieira, M., Faia, R., Lezama, F., & Vale, Z., “A Sensitivity Analysis of PSO Parameters Solving the P2P Electricity Market Problem”. In IEEE Congress on Evolutionary Computation (CEC). 2022. DOI: to be released.

» Metaheuristic optimization solving demand response contract markets with network validation

Lacerda, E., Lezama, F., Soares, J., Canizes, B., & Vale, Z., “Metaheuristic optimization solving demand response contract markets with network validation”. In IEEE Congress on Evolutionary Computation (CEC). 2022. DOI: to be released.

» Evolutionary Algorithms for Risk-based Energy Resource Management considering Conditional Value-at-Risk Analysis

J. Almeida, J. Soares, F. Lezama, Z. Vale, and B. François, ” Evolutionary Algorithms for Risk-based Energy Resource Management considering Conditional Value-at-Risk Analysis”. In 14th International Conference of the International Association for Mathematics and Computer in Simulation, 2022.

» IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021)

J. Almeida, J. Soares, F. Lezama, B. Canizes, and Z. Vale, “Evolutionary Algorithms applied to the Intraday Energy Resource Scheduling in the Context of Multiple Aggregators,” in IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021), Orlando, Florida, USA, Dec. 2021. Check here

F. Lezama, J. Soares, B. Canizes, Z. Vale.”A Statistical Analysis of Performance in the 2021 CEC-GECCO-PESGM Competition on Evolutionary Computation in the Energy Domain”. In 2021 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021), Orlando, Florida, USA, Dec. 2021. Check here

» Energy Resource Scheduling Optimization for SmartPower Distribution Grids – Hour-Ahead Horizon

B. Canizes, J. Soares, J. Almeida, W. Paris, Z. Vale, “Energy Resource Scheduling Optimization for SmartPower Distribution Grids – Hour-Ahead Horizon,” in IEEE PES Innovative Smart Grid Technologies Europe, 18-21 October 2021, pp. 1-6., Esppo, Finland. Check here

» Intraday Energy Resource Scheduling for Load Aggregators Considering Local Market

J. Almeida, J. Soares, B. Canizes, I. Razo-Zapata, Z. Vale.”Intraday Energy Resource Scheduling for Load Aggregators Considering Local Market”. In 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021), 233-242. Springer International Publishing, 2021. Check here

» DSO contract market for demand response using evolutionary computation

E. Lacerda, F. Lezama, J. Soares, Z. Vale, “DSO contract market for demand response using evolutionary computation”, in 2021 IEEE Congress on Evolutionary Computation (CEC), 28 June – 1 July 2021. Check full article here

» Evolutionary Algorithms for Energy Scheduling under Uncertainty considering Multiple Aggregators

J. Almeida, J. Soares, B. Canizes, F. Lezama, M. Ali. Foutouhi, Z. Vale, “Evolutionary Algorithms for Energy Scheduling under Uncertainty considering Multiple Aggregators”, in 2021 IEEE Congress on Evolutionary Computation (CEC), 28 June – 1 July 2021. Check full article here

» Safety Isolating Transformer Design using HyDE-DF algorithm

J. Soares, F. Lezama, Z. Vale, S. Brisset, and B. Francois, “Safety Isolating Transformer Design using HyDE-DF algorithm,” in 2020 IEEE Congress on Evolutionary Computation (CEC), Jul. 2020, pp. 1–7. Check here

» Learning Bidding Strategies in Local Electricity Markets using Ant Colony optimization

F. Lezama, R. Faia, J. Soares, P. Faria, and Z. Vale, “Learning Bidding Strategies in Local Electricity Markets using Ant Colony optimization,” in 2020 IEEE Congress on Evolutionary Computation (CEC), Jul. 2020, pp. 1–8. Check here

» A Genetic Algorithm for Transmission Network Expansion Planning Considering Line Maintenance

M. Mahdavi, A. R. Kheirkhah, L. H. Macedo, and R. Romero, “A Genetic Algorithm for Transmission Network Expansion Planning Considering Line Maintenance,” in 2020 IEEE Congress on Evolutionary Computation (CEC), Jul. 2020, pp. 1–6. Check here

» Optimal bidding in Local Energy Markets using Evolutionary Computation

F. Lezama, J. Soares, Z. Vale,  “Optimal bidding in Local Energy Markets using Evolutionary Computation”, 20th International Conference on International System Applications to Power Systems 2019 (ISAP), 10th-14th December 2019, New Delhi, India. Check here

» Hybrid-Adaptive Differential Evolution with Decay Function (HyDE-DF) Applied to the 100-Digit Challenge Competition on Single Objective Numerical Optimization

F. Lezama, J. Soares, R. Faia, Z. Vale, (2019). Hybrid-Adaptive Differential Evolution with Decay Function (HyDE-DF) Applied to the 100-Digit Challenge Competition on Single Objective Numerical Optimization, GECCO 2019 – The Genetic and Evolutionary Computation Conference 2019, July 13th-17th 2019 Prague, Czech Republic. Check here

» Business Models for Flexibility of Electric Vehicles: Evolutionary Computation for a Successful Implementation

F. Lezama, J. Soares, R. Faia, Z. Vale, L. Macedo, R. Romero (2019). Business Models for Flexibility of Electric Vehicles: Evolutionary Computation for a Successful Implementation, GECCO 2019 – The Genetic and Evolutionary Computation Conference 2019, July 13th-17th 2019 Prague, Czech Republic. Check here


Book Chapter

J. F. Franco, L. H. Macedo, N. B. Arias, A. Tabares, R. Romero, J. Soares. “Mathematical models and optimization techniques to support local electricity markets”. In Local Electricity Markets, 259-276. Elsevier, 2021. Check here

J. Almeida,  J. Soares. “Integration of electric vehicles in local energy markets”. In Local Electricity Markets, 21-36. Elsevier, 2021. Check here


Algorithm Competitions

Risk-based optimal day-ahead ERM considering the uncertainty associated with high penetration of DER @ IEEE PES GM 2022/ CEC 2022/ GECCO 2022 – Title “Evolutionary Computation in the energy Domain: Risk-based Energy Scheduling” – Check call here

Optimal bidding of energy aggregators in local markets and DSO flexibility competition @ IEEE PES GM 2021/ CEC 2021/ GECCO 2021 – Title “Competition on Evolutionary Computation in the Energy Domain: Smart Grid Applications 2021” – Check call here

Energy resource management and optimal bidding of energy aggregators in local markets competition @ IEEE CEC 2020/WCCI & GECCO 2020 – Title “Competition on Evolutionary Computation in the Energy Domain: Smart Grid Applications” – Check call here

Energy resource management algorithm competition @ IEEE CEC 2019 & GECCO 2019 – Title: “Competition on Evolutionary Computation in Uncertain Environments: A Smart Grid Application”  – Check call here


Special Issues

2020/2021 – Energy Transition: Decentralization, Electric Vehicles, and Local Energy Markets – Energies, MDPI – Check here

2020/2021 – Electric Vehicles Integration and Control in Smart Grids – Electronics, MPDI – Check here

2019/2020 – Computational Intelligence Applications in Smart Grid Optimization – Energies, MDPI – Check here

2019/2020 – Rethinking the Distribution Power Network Planning and Operation for a Sustainable Smart Grid and Smooth Interaction with Electrified Transportation – Energies, MDPI – Check here

2018 – Complex Optimization and Simulation in Power Systems in Complexity Journal – Check here


Special Sessions

2022 – IEEE World Congress on Computational Intelligence (IEEE WCCI 2022): Special Session on Evolutionary Algorithms for Complex Optimization in the Energy Domain, CEC 2022, Padua, Italy, July 2022 (check here)

2021 – IEEE Congress on Evolutionary Computation (IEEE CEC 2021): Special Session (SS-44) on Evolutionary Algorithms For Complex Optimization in the Energy Domain, CEC 2021, Krakow, Poland, June 2021 (check here)

2020 – IEEE World Congress on Computational Intelligence (IEEE WCCI 2020): Special Session on Evolutionary Algorithms For Complex Optimization in the Energy Domain, Glasgow, Scotland, July 2020 (check here)

2019 – IEEE Congress on Evolutionary Computation (IEEE CEC 2019): Special Session on Evolutionary Algorithms For Complex Optimization in the Energy Domain, Wellington, New Zealand, June 2019 (check here)


Seminars/Workshops

2022 – Workshop on “Operation of Distribution Systems with High Participation of Distributed Energy Resources”. Virtual meeting, LaPSEE/UNESP – GECAD/ISEP, 11 February 2022.

2021 – Workshop on Energy Flexibility in Smart Buildings and Smart Grids. Virtual and presential meeting, GECAD/ISEP, 10 December 2021 (36 participants).

2020 – Workshop Sobre a Operação de Modernos Sistemas de Distribuição: Desafios, Propostas e Ferramentas,: II Workshop sobre Pesquisas em Veículos Elétricos, Virtual meeting, UNESP/ISEP, 3 October 2020 (40 participants).

2020 – Online Training Course on Machine Learning, Agent-based Systems, and Optimization in Power and Energy, 3 July 2020 (around 60 participants) (check here).

2020 – I Luso-Brazilian Workshop, 17th January 2020 (24 participants)

2019 – Workshop on Evolutionary Algorithms for Smart Grids (SmartEA), at GECCO 2019 in Prague, July 13th-17th 2019 (35 participants) (check here).

2019 – “I Workshop Pesquisas sobre Veículos Elétricos no LAPSEE”, 16th February 2019, Ilha Solteira, UNESP, Brazil (14 participants) – (Presentations here).


Master Thesis

Concluded

Enielma Cunha da Silva, “Alocação de geradores distribuídos e estações de carregamento de veículos elétricos para operação eficiente de sistemas de distribuição usando um algoritmo GRASP”, UNESP, (Supervised by Prof. Rubén Augusto Romero Lázaro – UNESP), 2020, Master Thesis

José Almeida, “Optimization of Aggregators Energy Resources considering Local Markets and Electric Vehicle Penetration”, Instituto Superior de Engenharia do Porto, 2021, Master Thesis

Diego Ricardo Bairrão, “Comercialização de energia para veículos elétricos e carregamento na Europa: perspetiva atual e futura”, dual MSc Diploma, Instituto Superior de Engenharia do Porto and Instituto Federal de Santa Catarina (IFSC), 2021, Master Thesis

Alexander Van Waeyenberge, “Simulation and Analysis of the Operation and Reconfiguration of a Medium Voltage Distribution Network in a Smart Grid Context in MATLAB Simulink”, Instituto Superior de Engenharia do Porto, 2021, Master Thesis (check here)

Fernando Santos, “Reutilization of used car batteries in residential environments”, dual MSc Diploma, Instituto Superior de Engenharia do Porto and Instituto Federal de Santa Catarina (IFSC), 2020, Master Thesis (check here)

Lucas Gomes, “Estratégia de carregamento de veículos elétricos aplicada em uma rede inteligente,” Instituto Superior de Engenharia do Porto, 2019, Master Thesis (check here)

Aldo Trindade, “Charging simulator for electric vehicles”, Instituto Superior de Engenharia do Porto, 2018, Master Thesis (check here)

Tiago Sousa, “Modelo de gestão de flexibilidade de equipamentos domésticos para auxiliar solicitações do DSO em redes inteligentes”, Instituto Superior de Engenharia do Porto, 2018, Master Thesis (check here)

Ongoing

Kauan Campana, “Optimização descentralizada de comercializadores/agregadores de veículos elétricos em ambiente de mercado competitivo”, dual MSc Diploma, Instituto Superior de Engenharia do Porto and Instituto Federal de Santa Catarina (IFSC), 2020, Master Thesis

Wanderley Junior, “Gestão ótima de recursos energéticos considerando incerteza e diferentes horizontes temporais”, dual MSc Diploma, Instituto Superior de Engenharia do Porto and Instituto Federal de Santa Catarina (IFSC), 2020, Master Thesis

Gabriel Henrique Rodrigues Ribeiro, “Veículos elétricos autónomos em harmonia com a rede elétrica inteligente: conceito e abordagem recorrendo a técnicas de inteligência artificial”, dual MSc Diploma, Instituto Superior de Engenharia do Porto and Instituto Federal de Santa Catarina (IFSC), 2020, Master Thesis

José Delgado, “Implementação de mecanismos de coordenação e flexibilidade em rede de distribuição considerando veículos elétricos e cálculo de preço nodal marginal”, Instituto Superior de Engenharia do Porto, 2020, Master Thesis

PhD Thesis

Concluded

Cindy Paola Guzmán Lascano, “Integração de veículos elétricos e fontes renováveis de energia no sistema elétrico de distribuição através de um agente agregador,” UNESP, (supervised by Prof. Rubén Augusto Romero Lázaro – UNESP), 2021, PhD Thesis. (check here)

Bruno Canizes, “Decision Support for Smart Grid Planning and Operation Considering Reliability,” Universidad de Salamanca, 2019, PhD Thesis (check here)