Research Article
A Reputation-Based Distributed District Scheduling Algorithm for Smart Grids
@INPROCEEDINGS{10.1007/978-3-319-19656-5_11, author={D. Borra and M. Iori and C. Borean and F. Fagnani}, title={A Reputation-Based Distributed District Scheduling Algorithm for Smart Grids}, proceedings={Internet of Things. User-Centric IoT. First International Summit, IoT360 2014, Rome, Italy, October 27-28, 2014, Revised Selected Papers, Part I}, proceedings_a={IOT360}, year={2015}, month={7}, keywords={Distributed algorithms Autonomous demand response management Energy consumption scheduling Smart power grids Reputation algorithm}, doi={10.1007/978-3-319-19656-5_11} }- D. Borra
M. Iori
C. Borean
F. Fagnani
Year: 2015
A Reputation-Based Distributed District Scheduling Algorithm for Smart Grids
IOT360
Springer
DOI: 10.1007/978-3-319-19656-5_11
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 profile. 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 Lévy 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 effective ECS differing from the suggested ECS. Numerical results show the protocols effectiveness.
