Smart Grid Resources Optimization Using Heuristic Approach

Research output: Contribution to journalConference article

Abstract

In this paper, we propose a new layered architecture for Smart Grid Resource Optimization using heuristic approach (SGROH). SGROH allows Smart Grid Constituencies (SGC) such as Power Generators (PG), Power Transporters (PT), Power Distributors (PD), and Power Consumers (PC) to optimize their pay-offs using the smart grid. The proposed optimization heuristic 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. The SGROH engine is based on a greedy heuristic which aims at optimizing the profits and resource utilization over the whole smart grid. Experimental study shows that SGROH heuristic gives nearly optimal solutions.

Original languageEnglish
Article number012015
JournalIOP Conference Series: Earth and Environmental Science
Volume168
Issue number1
DOIs
Publication statusPublished - Jul 2 2018
Event2018 4th International Conference on Renewable Energy Technologies, ICRET 2018 - Kuala Lumpur, Malaysia
Duration: Jan 16 2018Jan 18 2018

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heuristics
resource
smart grid
engine
experimental study
energy

ASJC Scopus subject areas

  • Environmental Science(all)
  • Earth and Planetary Sciences(all)

Cite this

Smart Grid Resources Optimization Using Heuristic Approach. / Touzene, Abderezak; Al Yahyai, S.; Oukil, Amar.

In: IOP Conference Series: Earth and Environmental Science, Vol. 168, No. 1, 012015, 02.07.2018.

Research output: Contribution to journalConference article

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