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Sobre

Sobre

Rui Sousa nasceu em 1996 em Santa Maria da Feira. Em 2020 completou o Mestrado Integrado em Engenharia Eletrotécnica e Computadores pela Faculdade de Engenharia da Universidade do Porto (FEUP) no ramo de Sistemas de Energia e com especialização em Energia Renovável.

Desde 2021 é investigador no INESCTEC no Centro de Sistemas de Energia, onde vem participado em projetos europeus e atividades de consultoria técnica relacionadas com a dinâmica e estabilidade de sistemas isolados com crescente integração de energia renovável.

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    Rui Sousa
  • Cargo

    Investigador
  • Desde

    01 fevereiro 2021
013
Publicações

2024

EPSO-based Methodology for Modelling Equivalent PV-Battery Hybrid Power Plants using Generic Converter Models

Autores
Sousa, P; Castro, V; Moreira, L; Lopes, P;

Publicação
IET Conference Proceedings

Abstract
System operators (SO) require Converted-Interfaced Renewable Energy Systems (CI-RES) power plants investors to provide demonstrative studies related to different operational performance capabilities and advanced system services provision to the grid. Typically, these studies rely on Original Equipment Manufacturer (OEM) simulation models for the power converters and CI-RES power plants control units. Such models might be unavailable to the SO due to confidentiality reasons and might present challenges in parametrization due to their complexity. Moreover, compatibility issues between simulation packages used by the SO and those utilized by the independent entity performing the studies creates additional difficulties. Hence, SO demand to power plant investors the proving of equivalent simulation models and resorting preferably to standardized open-source models. This work presents a methodology to derive an equivalent model of a CI-RES power plant using Generic Renewable Energy Models (GREM) in which the parameters identification is performed exploiting an Evolutionary Particle Swarm Optimization (EPSO) to capture the plant's dynamic behaviour at the Point of Interconnection (POI) in face of a set of reference network disturbances. Considering as Case-Study the integration of a PV-Battery Hybrid power plat into the electrical system of Terceira Island, the results demonstrate successful derivation of GREM parameters allowing the representation of the dynamic behaviour of the power plant in face of network disturbance events. © Energynautics GmbH.

2023

Including Dynamic Security Constraints in Isolated Power Systems Unit Commitment/Economic Dispatch: a Machine Learning-based Approach

Autores
de Sousa, RP; Moreira, C; Carvalho, L; Matos, M;

Publicação
2023 IEEE BELGRADE POWERTECH

Abstract
Isolated power systems with high shares of renewables can require additional inertia as a complementary resource to assure the system operation in a dynamic safe region. This paper presents a methodology for the day-ahead Unit Commitment/ Economic Dispatch (UC/ED) for low-inertia power systems including dynamic security constraints for key frequency indicators computed by an Artificial Neural-Network (ANN)-supported Dynamic Security Assessment (DSA) tool. The ANN-supported DSA tool infers the system dynamic performance with respect to key frequency indicators following critical disturbances and computes the additional synchronous inertia that brings the system back to its dynamic security region, by dispatching Synchronous Condensers (SC) if required. The results demonstrate the effectiveness of the methodology proposed by enabling the system operation within safe frequency margins for a set of high relevance fault type contingencies while minimizing the additional costs associated with the SC operation.