Controllable Loads Modeling in the Dispatch of Systems with Renewable Sources and Electric Vehicles

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Wilder Guzman National University of Colombia
Sebastián Osorio National University of Colombia
Sergio Rivera Institute of electric energy, National University of San Juan; Postdoctoral associate, Massachusetts Institute of Technology, Cambridge, USA; Professor, Universidad Nacional de Colombia, Bogotá,
Abstract
This document shows the economic dispatch carried out in a power system with penetration of renewable sources, electric cars and with special emphasis on the modeling of controllable loads. For this, the behavior of solar irradiance, wind speed and electric carriage driving patterns were studied by means of Log-Normal, Weibull and Normal probability distributions, respectively. The concept of controllable load was defined as well as the requirements of the contract with the network operator so that a consumption center could be declared as controllable and a model of minimization of costs of compensation by unbundled power block was used to model the behavior energetic-economic of said nodes from the point of view of the network operator. The optimization of the dispatch (optimum flow of power) was made by means of the DEEPSO optimization algorithm by the inclusion of 7 controllable nodes, chosen based on an established selection criterion. It was found that the controllable loads can present two great benefits for the system depending on the parameters established in the contract: smoothing the demand profile (displacement of maximum power peaks and decrease of losses) and decrease of the total cost of generation.
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Author Biographies / See

Wilder Guzman, National University of Colombia

Electrical engineer.

Sebastián Osorio, National University of Colombia

Electrical engineer.

Sergio Rivera, Institute of electric energy, National University of San Juan; Postdoctoral associate, Massachusetts Institute of Technology, Cambridge, USA; Professor, Universidad Nacional de Colombia, Bogotá,

Doctor of engineering,
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