Distributed architecture for agents‐based energy negotiation in solar powered micro‐grids. (28th January 2016)

• Record Type: Journal Article
• Authors: Amato, Alba; Martino, Beniamino Di; Scialdone, Marco; Venticinque, Salvatore
• Other Names: Simmhan Yogesh guestEditor.; Ramakrishnan Lavanya guestEditor.; Antoniu Gabriel guestEditor.; Goble Carole guestEditor.; Yu Yong guestEditor.; Mu Yi guestEditor.; Lu Rongxing guestEditor.; Ren Jian guestEditor.; Venticinque Salvatore guestEditor.; Camacho David guestEditor.
• Is Part Of: Concurrency and computation. Volume 28:Number 4(2016)
• Page Start: 1275
• Page End: 1290
• Publication Date: 2016-01-28
• Subjects: multi‐agent systems -- smart grid -- energy market; Parallel processing (Electronic computers) -- Periodicals; Parallel computers -- Periodicals; 004.35
• DOI: 10.1002/cpe.3757
• Languages: English
• ISSNs: 1532-0626

Abstract

Summary: The quota of renewable energy production from decentralized sources is increasing even more, affecting the management of current power grids. The lack of alignment between energy produced by photovoltaic panels and the consumption by user's appliances are the main issues that need to be addressed. The usage of energy storages is not yet feasible because of dimensioning problems and costs. The CoSSMic project is developing an innovative autonomic distributed platform that adopts a collaborative approach and distributed knowledge to schedule the usage of consuming devices according to user's preferences and constraints, monitoring data and predicted photovoltaic production. The main objective is the maximization of self‐consumption in a neighborhood. Multi‐agent systems are a good candidate for modeling and managing such kind of systems. In fact, smart grids are geographically distributed systems composed of autonomous and reactive entities among which some are pro‐active and have social abilities. In this paper, we focus on the design and prototype implementation of the multi‐agent systems, that is one of the pillars of the CoSSMic platform, aiming at implementing a distributed scheduler. Copyright © 2016 John Wiley & Sons, Ltd.