A-RESS new dynamic and smart system for renewable energy sharing problem

Author:

Toumia Imen1,Ben Hassine Ahlem2

Affiliation:

1. University of Manouba, National School of Computer Sciences, Manouba, Tunisia

2. University of Jeddah, College of Computer Science and Engineering, Jeddah, Saudi Arabia

Abstract

Energy is at the basis of any social or economic development. The fossil energy is the most used energy source in the world due to the cheap building cost of the power plants. In 2017, fossil fuels generated 64.5% of the world electricity. Since, on the one hand, these plants produce large amount of carbon dioxide which drives climate change, and on the other hand, the storage of existing world fossil resources is in continuous decrease, safer and highly available energy sources should be considered. Hence, for human well-being, and for a green environment, these fossil plants should be switched to cleaner ones. Renewable energy resources have begun to be used as alternatives. These resources have many advantages such as sustainability and environmental protection. Nevertheless, they require higher investment costs. In addition, the reliability of many planted systems is poor. In most cases these systems are not sufficient to ensure a continuous demand of energy for all in needy regions because most of their resources are climate dependent. The main contributions of this research are (i) to propose a natural formalisation of the renewable energy distribution problem, based on COP (Constraint Optimisation Problem), that takes into consideration all the constraints related to this problem; (ii) to propose a novel multi-agent dynamic (A-RESS for Agent based Renewable Energy Sharing System) to solve this problem. The proposed system was implemented and the obtained results show its efficiency and performance in terms of produced, consumed and lost energy.

Funder

College of Computer Science and Engineering, University of Jeddah, Saudi Arabia

Publisher

PeerJ

Subject

General Computer Science

Reference37 articles.

1. An optimal distributed energy management scheme for solving transactive energy sharing problems in residential microgrids;Akter;Applied Energy,2020

2. MPC for optimized energy exchange between two renewable energy prosumers;Aldaouab;Applied Sciences,2019

3. Long term electric load forecasting based on particle swarm optimization;AlRashidi;Applied Energy,2010

4. Multi-agent deep reinforcement learning for zero energy communities;Amit,2019

5. A two-stage approach for efficient power sharing within energy districts;Andrea;IEEE Transactions on Systems, Man, and Cybernetics: Systems,2021

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