Title: Smart grid resources optimisation using service oriented middleware

Authors: Abderezak Touzene; Sultan Al Yahyai; Amar Oukil

Addresses: Computer Science Department, Sultan Qaboos University, P.O. Box 36, PC 123 Muscat, Oman ' Department of Information Technology, Mazoon Electricity Company, P.O. Box 1229, Al Hamriya, Muscat, Oman ' Department of Operations Management & Business Statistics, Sultan Qaboos University, P.O. Box 36, PC 123 Muscat, Oman

Abstract: In this paper, we propose a new Service Oriented Architecture (SOA) for Smart Grid Resource Optimisation Middleware (SGROM) which allows Smart Grid Constituencies (SGC) such as Power Generators (PG), Power Transporters (PT), Power Distributors (PD), and Power Consumers (PC) to optimise their pay-offs using the smart grid. The proposed resource optimisation management middleware aims to support power consumers with sustainable energy from power distributors, transparently at the best price on a real-time basis (variable pricing). It will also decide automatically for the power distributors the best power generators and connecting transporter lines based on the current power generation and transportation costs, the demand of the distributor, and the maximum power supply from the generator. The SGROM smart engine is modelled as a Mixed-Integer Linear Program (MILP) which aims at optimising the profits and resource utilisation over the whole smart grid. The experimental results show that substantial cost improvement can be achieved when using SGROM, as compared to the traditional grid system.

Keywords: smart grid; SOA middleware; resource management; optimisation; linear programming.

DOI: 10.1504/IJCAT.2019.097121

International Journal of Computer Applications in Technology, 2019 Vol.59 No.1, pp.53 - 63

Received: 23 Sep 2017
Accepted: 19 Feb 2018
Published online: 21 Dec 2018 *

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