J
Juan M. Lujano-Rojas
Researcher at University of Zaragoza
Publications - 59
Citations - 1258
Juan M. Lujano-Rojas is an academic researcher from University of Zaragoza. The author has contributed to research in topics: Renewable energy & Electric power system. The author has an hindex of 14, co-authored 55 publications receiving 1058 citations. Previous affiliations of Juan M. Lujano-Rojas include Ton Duc Thang University & Instituto Superior Técnico.
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Comparison of different lead–acid battery lifetime prediction models for use in simulation of stand-alone photovoltaic systems
TL;DR: In this article, all the components of a photovoltaic (PV) system have been considered simultaneously to simulate the behavior of the system and the results of the simulations have allowed a comparison of the most common methods of battery lifetime prediction used by simulation and/or optimization tools with a weighted Ah-throughput method developed a few years ago.
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Optimum residential load management strategy for real time pricing (RTP) demand response programs
TL;DR: In this article, the authors presented an optimal load management strategy for residential consumers that utilizes the communication infrastructure of the future smart grid, considering predictions of electricity prices, energy demand, renewable power production, and power-purchase of energy of the consumer in determining the optimal relationship between hourly electricity prices and the use of different household appliances and electric vehicles in a typical smart house.
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Optimum load management strategy for wind/diesel/battery hybrid power systems
TL;DR: In this article, a load management strategy for the optimal use of renewable energy in systems with wind turbines, a battery bank, and a diesel generator is discussed, where controllable loads are used to minimize the energy supplied by the diesel generator and battery bank subject to constraints imposed by the user's behavior and duty cycle of appliances.
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A probabilistic approach to solve the economic dispatch problem with intermittent renewable energy sources
Gerardo J. Osorio,Juan M. Lujano-Rojas,João C. O. Matias,Joao P. S. Catalao,Joao P. S. Catalao,Joao P. S. Catalao +5 more
TL;DR: In this paper, a methodology for solving the ED (economic dispatch) problem considering the uncertainty of wind power generation and generators reliability is presented, where the reliability of each unit is incorporated by estimating the joint probability distribution function (PDF) of each thermal unit and failure events.
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A new scenario generation-based method to solve the unit commitment problem with high penetration of renewable energies
Gerardo J. Osorio,Juan M. Lujano-Rojas,João C. O. Matias,Joao P. S. Catalao,Joao P. S. Catalao,Joao P. S. Catalao +5 more
TL;DR: In this article, a new model of the unit scheduling of power systems with significant renewable power generation based on the scenario generation/reduction method combined with the priority list (PL) method is proposed that finds the probability distribution function (PDF) of a determined generator be committed or not.