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Manuel A. Matos

Researcher at University of Porto

Publications -  172
Citations -  6099

Manuel A. Matos is an academic researcher from University of Porto. The author has contributed to research in topics: Electric power system & Fuzzy logic. The author has an hindex of 41, co-authored 166 publications receiving 5234 citations. Previous affiliations of Manuel A. Matos include Faculdade de Engenharia da Universidade do Porto.

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Setting the Operating Reserve Using Probabilistic Wind Power Forecasts

TL;DR: The new reserve management tool (RMT) described in the paper is intended to support the SO in defining the operating reserve needs for the daily and intraday markets and decision strategies like setting an acceptable risk level or finding a compromise between economic issues and the risk of loss of load are explored.
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Optimization of Pumped Storage Capacity in an Isolated Power System With Large Renewable Penetration

TL;DR: In this paper, an economic analysis of the inclusion of pumped storage in a small island system that has abundant renewable energy available but that at times cannot accept all of this power because of limits imposed by security criteria is presented.

Design and operation of power systems with large amounts of wind power

TL;DR: There are already several power systems coping with large amounts of wind power as mentioned in this paper, and the impacts that have to be manage through proper plant interconnection, integration, and management of wind energy.
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Optimized Bidding of a EV Aggregation Agent in the Electricity Market

TL;DR: This paper presents an optimization approach to support the aggregation agent participating in the day-ahead and secondary reserve sessions, and identifies the input variables that need to be forecasted or estimated.
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Flexibility products and markets: Literature review

TL;DR: In this paper, a review of flexibility products and flexibility markets, currently being discussed or designed to help in the operation of power systems under their evolving environment, is presented, which is characterized by the increase of renewable generation and distributed energy resources (including distributed generation, selfconsumption, demand response and electric vehicles).