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About

About

João P. S. Catalão received the M.Sc. degree from the Instituto Superior Técnico (IST), Lisbon, Portugal, in 2003, and the Ph.D. degree and Habilitation for Full Professor ("Agregação") from the University of Beira Interior (UBI), Covilha, Portugal, in 2007 and 2013, respectively. Currently, he is a Professor at the Faculty of Engineering of the University of Porto (FEUP), Porto, Portugal, and Researcher at INESC TEC, INESC-ID/IST-UL, and C-MAST/UBI. He was the Primary Coordinator of the EU-funded FP7 project SiNGULAR ("Smart and Sustainable Insular Electricity Grids Under Large-Scale Renewable Integration"), a 5.2-million-euro project involving 11 industry partners. He has authored or coauthored more than 500 publications, including 171 journal papers, 303 conference proceedings papers, 29 book chapters, and 14 technical reports, with an h-index of 30 and over 3735 citations (according to Google Scholar), having supervised more than 45 post-docs, Ph.D. and M.Sc. students. He is the Editor of the books entitled Electric Power Systems: Advanced Forecasting Techniques and Optimal Generation Scheduling and Smart and Sustainable Power Systems: Operations, Planning and Economics of Insular Electricity Grids (Boca Raton, FL, USA: CRC Press, 2012 and 2015, respectively). His research interests include power system operations and planning, hydro and thermal scheduling, wind and price forecasting, distributed renewable generation, demand response and smart grids. Prof. Catalão is an Editor of the IEEE Transactions on Smart Grid, an Editor of the IEEE Transactions on Sustainable Energy, an Editor of the IEEE Transactions on Power Systems, and an Associate Editor of the IET Renewable Power Generation. He was the Guest Editor-in-Chief for the Special Section on "Real-Time Demand Response" of the IEEE Transactions on Smart Grid, published in December 2012, and the Guest Editor-in-Chief for the Special Section on "Reserve and Flexibility for Handling Variability and Uncertainty of Renewable Generation" of the IEEE Transactions on Sustainable Energy, published in April 2016. He was the recipient of the 2011 Scientific Merit Award UBI-FE/Santander Universities and the 2012 Scientific Award UTL/Santander Totta. Also, he has won 4 Best Paper Awards at IEEE Conferences.

Interest
Topics
Details

Details

  • Name

    João Catalão
  • Cluster

    Power and Energy
  • Role

    Research Coordinator
  • Since

    01st March 2016
002
Publications

2020

Optimal scheduling of distribution systems considering multiple downward energy hubs and demand response programs

Authors
Bostan, A; Nazar, MS; Shafie Khah, M; Catalao, JPS;

Publication
Energy

Abstract

2020

A Risk-Based Decision Framework for the Distribution Company in Mutual Interaction With the Wholesale Day-Ahead Market and Microgrids

Authors
Bahramara, S; Sheikhahmadi, P; Mazza, A; Chicco, G; Shafie Khah, M; Catalao, JPS;

Publication
IEEE Transactions on Industrial Informatics

Abstract

2020

Security-Constrained Unit Commitment With Natural Gas Pipeline Transient Constraints

Authors
Badakhshan, S; Ehsan, M; Shahidehpour, M; Hajibandeh, N; Shafie Khah, M; Catalao, JPS;

Publication
IEEE Transactions on Smart Grid

Abstract

2020

An Optimal Home Energy Management Paradigm With an Adaptive Neuro-Fuzzy Regulation

Authors
Hosseinnezhad, V; Shafie Khah, M; Siano, P; Catalao, JPS;

Publication
IEEE Access

Abstract

2020

Capacity Planning of Energy Hub in Multi-carrier Energy Networks: A Data-driven Robust Stochastic Programming Approach

Authors
Cao, Y; Wei, W; Wang, JH; Mei, SW; Shafie khah, M; Catalao, JPS;

Publication
IEEE Transactions on Sustainable Energy

Abstract
Cascade utilization of natural gas, electric power, and heat could leverage synergetic effects among them, precipitating the advent of integrated energy systems. In such infrastructures, energy hub is an interface among different energy systems, with functionalities of energy production, conversion, and storage. The capacity of energy hub determines how tightly the energy systems are coupled and how flexible the whole system would behave. This paper proposes a data-driven two-stage stochastic programming model for energy hub capacity planning with distributional robustness guarantee. Renewable generation and load uncertainties are modelled by a family of ambiguous probability distributions near a reference distribution. The objective is to minimize the sum of the construction cost and the expected life-cycle operating cost under the worst-case distribution restricted in the ambiguity set. Network energy flow in normal operating conditions is considered; demand supply reliability in extreme conditions are taken into account via robust chance constraints. Through duality theory and sampling average approximation, the proposed model is transformed into an equivalent convex program with a nonlinear objective and linear constraints, and is solved by an outer-approximation algorithm which entails solving linear programs. Case studies demonstrate the effectiveness of the proposed model and method. IEEE

Supervised
thesis

2019

Probabilistic Prediction of Power Flow in a Distributed Energy Cloud

Author
Mohamed Fouad Hassan Lotfi Mahmoud

Institution
UP-FEUP

2019

Optimal Operation of a Rooftop Photovoltaic Electric Vehicle Parking Lot

Author
Helena Maria Dias Espassandim

Institution
UP-FEUP

2019

Implementing Dynamic System Reconfiguration with Renewables Considering Future Grid Technologies: A Real Case Study

Author
José Filipe Soares Pogeira

Institution
UP-FEUP

2018

Enhancing the efficiency of electricity utilization through home energy management systems within the smart grid framework

Author
Tiago Mendes

Institution
Outra

2018

Metodologia Híbrida para a Previsão dos Preços do Mercado Elétrico com Integração Renovável

Author
Vasco Miguel Agante Campos

Institution
UP-FEUP