Detalhes
Nome
Leonel Magalhães CarvalhoCluster
EnergiaCargo
Responsável de ÁreaDesde
18 fevereiro 2008
Nacionalidade
PortugalCentro
Centro de Sistemas de EnergiaContactos
+351222094230
leonel.m.carvalho@inesctec.pt
2023
Autores
Silva, J; Sumaili, J; Silva, B; Carvalho, L; Retorta, F; Staudt, M; Miranda, V;
Publicação
IEEE TRANSACTIONS ON POWER SYSTEMS
Abstract
2022
Autores
Marcelino, CG; Torres, V; Carvalho, L; Matos, M; Miranda, V;
Publicação
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
Abstract
Performance indicators, such as the SAIFI and the SAIDI, are commonly used by regulatory agencies to evaluate the performance of distribution companies (DisCos). Based on such indicators, it is common practice to apply penalties or grant rewards if the indicators are greater to or less than a given threshold. This work proposes a new multi-objective optimization model for pinpointing the critical assets involved in outage events based on past performance indicators, such as the SAIDI and the System Average Interruption Duration Exceeding Threshold (SAIDET) indexes. Our approach allows to retrieve the minimal set of assets in large historical interruption datasets that most contribute to past performance indicators. A case study using a real interruption dataset between the years 2011–2104 from a Brazilian DisCo revealed that the optimal inspection plan according to the decision maker preferences consist of 332 equipment out of a total of 5873. This subset of equipment, which contribute 61.90% and 55.76% to the observed SAIFI and SAIDET indexes in that period, can assist managerial decisions for preventive maintenance actions by prioritizing technical inspections to assets deemed as critical. © 2021
2022
Autores
Lotfi, M; Panteli, M; Venkatasubramanian, BV; Javadi, MS; Carvalho, LM; Gouveia, CS;
Publicação
Findings
Abstract
2022
Autores
Cardoso, ML; Venturini, LF; Baracy, YL; Ulisses, IMB; Bremermann, LE; Grilo Pavani, AP; Carvalho, LM; Issicaba, D;
Publicação
ELECTRIC POWER SYSTEMS RESEARCH
Abstract
This paper presents an approach to optimize the placement of fault indicator devices in distribution systems using the cross-entropy method and results from traffic simulations. The problem formulation takes into account the impact of the devices on restoration times and costs due to fines related to service interruption reliability indices. Candidate solutions to the problem are evaluated using sequential Monte Carlo simulations, where travel times of maintenance crews are sampled according to data acquired from mobility traffic simulations. Results show the applicability of the approach in different simulation scenarios and the benefits of installing the devices in distribution networks. © 2022 Elsevier B.V.
2022
Autores
Javadi, MS; Gouveia, CS; Carvalho, LM;
Publicação
2022 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2022 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE)
Abstract
In this paper, a multi-temporal optimal power flow (OPF) model for radial networks is proposed. The mathematical problem formulation is presented as a mixed-integer quadratically constrained programming (MIQCP) problem. The main core of the developed OPF problem is benefiting from the second-order conic programming (SOCP) approach while the quadratic constraints of the power flow equations have been efficiently handled. In the developed model, the dynamic behaviour of the electrical energy storage (EES) has been addressed for the day-ahead operation problem. In addition, the developed model is tested and verified for both normal and contingent events and the obtained results are satisfactory in terms of feasibility and optimality. In the islanded operation, a grid-forming unit is the main responsible for maintaining the voltage reference while other units behave as slave. The model is tested on the modified IEEE 33-bus network to verify the performance of the developed tool. © 2022 IEEE.
Teses supervisionadas
2022
Autor
Tiago João Amorim Abreu
Instituição
UP-FEUP
2022
Autor
Inês Maria Afonso Trigo de Freitas Alves
Instituição
UP-FEUP
2021
Autor
Tiago João Amorim Abreu
Instituição
UP-FEUP
2021
Autor
Rodrigo Gonçalves de Morais
Instituição
UP-FEUP
2019
Autor
Inês Maria Afonso Trigo de Freitas Alves
Instituição
UP-FEUP
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