A Reputation-based Distributed District Scheduling Algorithm for Smart Grids

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 prole. The NP-hard constrained optimization problem reduces to a distributed unconstrained formulation by me...

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Main Authors: D. Borra, M. Iori, C. Borean, F. Fagnani
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2015-05-01
Series:EAI Endorsed Transactions on Cognitive Communications
Subjects:
Online Access:http://eudl.eu/doi/10.4108/cogcom.1.2.e3
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author D. Borra
M. Iori
C. Borean
F. Fagnani
author_facet D. Borra
M. Iori
C. Borean
F. Fagnani
author_sort D. Borra
collection DOAJ
description 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 prole. 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 eective ECS diering from the suggested ECS. Numerical results show the protocols eectiveness.
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spelling doaj.art-44e240b1e1ca4c8d8798a2431e9a0faf2022-12-21T18:02:21ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Cognitive Communications2313-45342015-05-01121810.4108/cogcom.1.2.e3A Reputation-based Distributed District Scheduling Algorithm for Smart GridsD. Borra0M. Iori1C. Borean2F. Fagnani3Dipartimento di Scienze Matematiche, Politecnico di Torino, ItalySwarm Joint Open Lab, Telecom Italia, ItalySwarm Joint Open Lab, Telecom Italia, ItalyDipartimento di Scienze Matematiche, Politecnico di Torino, ItalyIn 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 prole. 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 eective ECS diering from the suggested ECS. Numerical results show the protocols eectiveness.http://eudl.eu/doi/10.4108/cogcom.1.2.e3Distributed AlgorithmsAutonomous Demand Response managementEnergy Consumption SchedulingSmart Power GridsReputation algorithm
spellingShingle D. Borra
M. Iori
C. Borean
F. Fagnani
A Reputation-based Distributed District Scheduling Algorithm for Smart Grids
EAI Endorsed Transactions on Cognitive Communications
Distributed Algorithms
Autonomous Demand Response management
Energy Consumption Scheduling
Smart Power Grids
Reputation algorithm
title A Reputation-based Distributed District Scheduling Algorithm for Smart Grids
title_full A Reputation-based Distributed District Scheduling Algorithm for Smart Grids
title_fullStr A Reputation-based Distributed District Scheduling Algorithm for Smart Grids
title_full_unstemmed A Reputation-based Distributed District Scheduling Algorithm for Smart Grids
title_short A Reputation-based Distributed District Scheduling Algorithm for Smart Grids
title_sort reputation based distributed district scheduling algorithm for smart grids
topic Distributed Algorithms
Autonomous Demand Response management
Energy Consumption Scheduling
Smart Power Grids
Reputation algorithm
url http://eudl.eu/doi/10.4108/cogcom.1.2.e3
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