An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Dynamic Appliances Scheduling in Collaborative MicroGrids System
Published
Author(s)
Hamid Gharavi, Hasnae Bilil
Abstract
AbstractIn this paper a new approach which is based on a collaborative system of MicroGrids (MGs), is proposed to enable household appliance scheduling. To achieve this, appliances are categorized into flexible and non-flexible Deferrable Loads (DLs), according to their electrical components. We propose a dynamic scheduling algorithm where users can systematically manage the operation of their electric appliances. The main challenge is to develop a flattening function calculus (reshaping) for both flexible and non-flexible DLs. In addition, implementation of the proposed algorithm would require dynamically analyzing two successive multi-objective optimization (MOO) problems. The first targets the activation schedule of non-flexible DLs and the second deals with the power profiles of flexible DLs. The MOO problems are resolved by using a fast and elitist multi-objective genetic algorithm (NSGA-II). Finally, in order to show the efficiency of the proposed approach, a case study of a collaborative system that consists of 40 MGs registered in the load curve for the flattening program has been developed. The results verify that the load curve can indeed become very flat by applying the proposed scheduling approach.
Gharavi, H.
and Bilil, H.
(2017),
Dynamic Appliances Scheduling in Collaborative MicroGrids System, IEEE Transactions on Power Systems
(Accessed September 21, 2023)