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QPSOL: Quantum Particle Swarm Optimization with Levy’s Flight

Authors:
Ennio Grasso
Claudio Borean

Keywords: scheduling, swarm intelligence, methaeuristic smart grids

Abstract:
This paper considers the minimum electricity cost scheduling problem of smart home appliances in the context of smart grids. Functional characteristics, such as expected duration and peak power consumption of the smart appliances can be adjusted through a power profile signal. The optimal scheduling of power profile signals minimizes cost, while satisfying technical operation constraints and consumer preferences. Time and power constraints, and optimization cost are modeled in this framework using a metaheuristic algorithm based on a Quantum inspired Particle Swarm with Lévy flights. The algorithm runs on the limited computational power provided by the home gateway device and in almost real-time as of user perception.

Pages: 14 to 23

Copyright: Copyright (c) IARIA, 2014

Publication date: June 22, 2014

Published in: conference

ISSN: 2308-4529

ISBN: 978-1-61208-346-9

Location: Seville, Spain

Dates: from June 22, 2014 to June 26, 2014