Title: New solutions for optimal power production, distribution and consumption in smart grids

Authors: Olfa Mosbahi; Mohamed Khalgui

Addresses: INSAT Institute, LISI Laboratory, University of Carthage, Tunisia ' INSAT Institute, LISI Laboratory, University of Carthage, Tunisia

Abstract: This paper deals first with smart grids for electrical power networks, second with flexible and adaptive smart meters, and third with new green smart homes which offer original services. We propose a multi-agent architecture to manage the energy production, the peak consumption, and the problem of concurrent faults. Second, we propose an agent-based architecture for an STM32F4 device where a hierarchical software agent is defined to control the environment evolution before applying local reconfigurations for a required flexibility of the smart meter SM. The reconfiguration is assumed in practice to be any addition, removal or update of new services to or from SM such as the energy consumption, the remote information reading and power shutdown, the stabilisation of the delivered power, the management of new power provider offers, the sale of energy and finally the peak consumption management. Third, a slave agent is proposed for each selected home device to control its local consumption, and a unique master agent is proposed to control the whole architecture. We optimise the use of green energy and the consumption costs by exploiting the offers from providers and also peak times. A visual simulator named X-SG is developed and applied to a case study proposed by Cynapsys.

Keywords: microcontrollers; reconfiguration; smart meters; smart grid; multi-agent systems; MAS; agent-based systems; energy delivery optimisation; storage management; electrical power networks; smart homes; green homes; energy management; energy production; peak consumption; concurrent faults; green energy; simulation.

DOI: 10.1504/IJMIC.2016.078345

International Journal of Modelling, Identification and Control, 2016 Vol.26 No.2, pp.110 - 129

Received: 12 Mar 2015
Accepted: 10 Nov 2015
Published online: 15 Aug 2016 *

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