Harnessing the Flexibility of Thermostatic Loads in Microgrids with Solar Power Generation

Harnessing the Flexibility of Thermostatic Loads in Microgrids with Solar Power Generation

This paper presents a demand response (DR) framework that intertwines thermodynamic building models with a genetic algorithm (GA)-based optimization method. The framework optimizes heating/cooling schedules of end-users inside a business park microgrid with local distributed generation from renewabl...

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Bibliographic Details
Main Authors: Rosa Morales González, Shahab Shariat Torbaghan, Madeleine Gibescu, Sjef Cobben
Format: Article
Language:English
Published: MDPI AG 2016-07-01
Series:Energies
Subjects:
commercial and industrial areas
demand response
genetic algorithm
microgrids
mixed-integer optimization
physical system modeling
local RES integration
smart grid
thermostatic load modeling
Online Access:http://www.mdpi.com/1996-1073/9/7/547

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http://www.mdpi.com/1996-1073/9/7/547

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