Browsing by Author "Salgado, Marcelo"

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    A low-complexity decision model for home energy management systems
    (2021) Salgado, Marcelo; Negrete-Pincetic, Matias; Lorca, Alvaro; Olivares, Daniel
    A low-complexity decision model for a Home Energy Management System is proposed to follow demand trajectory sets received from a Demand Side Response aggregator. This model is designed to reduce its computational complexity and being solved by low performance processors using available Single-Board Computers as a proof of concept. To decrease the computational complexity is proposed a two-stage model, where the first stage evaluates the hourly appliance scheduling using a relaxed set of restrictions, and the second stage evaluates a reduced set of appliances in a intra-hourly interval with a detailed characterization of the scheduled appliance properties. Simulations results show the effectiveness of the proposed algorithm to follow trajectories for different sets of home appliances and operational conditions. For the studied cases, the model presents deviations in the demand for the 3.2% of the cases in the first-stage and a 12% for the second-stage model. Results show that the proposed model can schedule available appliances according to the demand aggregator requirements in a limited solving time with diverse hardware.
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    Estimating the potential for solar energy utilization in Chile by satellite-derived data and ground station measurements
    (2015) Escobar Moragas, Rodrigo; Cortés, Cristián; Pino, Alan; Salgado, Marcelo; Pereira, Enio Bueno; Ramos Martins, Fernando; Boland, John; Cardemil Iglesias, José Miguel
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    Flexible load management using flexibility bands
    (2022) Saavedra, Aldo; Negrete-Pincetic, Matias; Rodriguez, Rafael; Salgado, Marcelo; Lorca, Alvaro
    The large integration of variable renewable energy sources brings new challenges to system operations due to their volatile nature. In this context, demand response programs appear as an important alternative to match the instantaneous supply and demand of energy by changing the electric use of end-users. The traditional load control schemes of demand response are the direct and indirect control. While the direct schemes assure coordination and fail in scalability, the indirect schemes assure scalability, but they could fail in coordination. To face some of the challenges, this paper defines a framework and mathematical formulation for the interactions between a demand aggregator and its end-users, based on flexibility bands. It allows the aggregator to communicate and control a higher number of end-users at the same time that the end-users can make local decisions regarding their consumption. The flexibility band is a control signal, composed of an upper and a lower consumption bound, so that end consumers can consume electricity in the way they want as long as they stay within these bounds. The band features can be linked to contractual arrangements allowing the creation of new products for electricity markets. The simulations consider an aggregator interacting with 10000 end-users. The end-users present different types of flexible loads, such as thermal, deferrable, and non interruptible loads. The results indicate that this scheme is capable of achieving scalability and coordination, and it has the potential to provide new services such as adjusting the flexibility bands after the first response from end-users.
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    Long-Term Soiling Analysis for Three Photovoltaic Technologies in Santiago Region
    (2017) Besson, Pierre; Munoz, Constanza; Ramırez Sagner, Gonzalo; Salgado, Marcelo; Escobar Moragas, Rodrigo; Platzer, Werner