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João Peças Lopes

Researcher at University of Porto

Publications -  192
Citations -  9969

João Peças Lopes is an academic researcher from University of Porto. The author has contributed to research in topics: Electric power system & Wind power. The author has an hindex of 38, co-authored 181 publications receiving 8989 citations. Previous affiliations of João Peças Lopes include École Polytechnique Fédérale de Lausanne & Faculdade de Engenharia da Universidade do Porto.

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Defining control strategies for MicroGrids islanded operation

TL;DR: In this article, the feasibility of control strategies to be adopted for the operation of a microgrid when it becomes isolated is evaluated and the need of storage devices and load shedding strategies is evaluated.
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Integration of Electric Vehicles in the Electric Power System

TL;DR: A conceptual framework to successfully integrate electric vehicles into electric power systems and several simulations are presented in order to illustrate the potential impacts/benefits arising from the electric vehicles grid integration under the referred framework.
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Participation of Doubly Fed Induction Wind Generators in System Frequency Regulation

TL;DR: In this paper, the authors proposed a control scheme that allows doubly fed induction wind generators (DFIWG) to participate effectively in system frequency regulation. But, the control strategy defined at the wind generator to supply primary frequency regulation capability exploits a combination of control of the static converters and pitch control, adjusting the rotor speed and the active power according to the deloaded optimum power extraction curve.
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On the optimization of the daily operation of a wind-hydro power plant

TL;DR: In this article, an hourly-discretized optimization algorithm is proposed to identify the optimum daily operational strategy to be followed by the wind turbines and the hydro generation pumping equipments, provided that a wind-power forecasting is available.
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Characterisation of electrical energy storage technologies

TL;DR: In this paper, the authors provide a qualitative methodology to select the appropriate technology or mix of technologies for different applications of energy storage in the electric grid, including ratings, energy density, durability and costs.