A Reputation-based Distributed District Scheduling Algorithm for Smart Grids
Journal Title: EAI Endorsed Transactions on Cognitive Communications - Year 2015, Vol 1, Issue 2
Abstract
In this paper we develop and test a distributed algorithm providing Energy Consumption Schedules (ECS) in smart grids for a residential district. The goal is to achieve a given aggregate load pro le. The NP-hard constrained optimization problem reduces to a distributed unconstrained formulation by means of Lagrangian Relaxation technique, and a meta-heuristic algorithm based on a Quantum inspired Particle Swarm with Levy flights. A centralized iterative reputation-reward mechanism is proposed for end-users to cooperate to avoid power peaks and reduce global overload, based on random distributions simulating human behaviors and penalties on the e ective ECS di ering from the suggested ECS. Numerical results show the protocols e ectiveness.
Authors and Affiliations
D. Borra, M. Iori, C. Borean, F. Fagnani
Keywords
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- EP ID EP45619
- DOI http://dx.doi.org/10.4108/cogcom.1.2.e3
- Views 445
- Downloads 0
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