Management of renewable energy production and distribution planning using agent-based modelling


The use of renewable energy sources is increasing worldwide to achieve energy production sustainability. To reach this goal and mitigate against climate changes all energy resources must be optimally managed. In this paper, an innovative multi agent-based heuristic optimisation system is developed to address renewable energy systems’ challenges associated with the management of renewables including storage devices, planning of energy distribution, and consumption flexibility. A new heuristic algorithm is developed to introduce an efficient and sustainable storage strategy of surplus energy generated by different renewable resource options. This leads to archiving optimised storage levels of energy across different located storage devices in order to face risk of production shortages due to weather conditions. In order to test the behaviour of the developed system and address its benefits, a case study in the Republic of IRAQ is developed. Twelve major cities (in order of population size) distributed in 5 main regions including North, South, East, West and Middle parts of the country are selected, and hybrid renewable power generation sources such as Wind, PV-solar and Hydro are implemented based on weather changes. The results highlight the effect of high suppliers’ rate on electricity exchange and production planning from differently used renewable technologies. A sensitivity analysis is conducted to verify the behaviour of the developed model on different demand behaviour types.

Publication DOI:
Divisions: College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences > Aston Business School > Operations & Information Management
Additional Information: Publisher Copyright: © 2020 Published by Elsevier Ltd.
Uncontrolled Keywords: Agent-based modelling,Energy distribution planning,Energy production management,Heuristics optimisation,Renewable energy sources,Storage devices,Renewable Energy, Sustainability and the Environment
Publication ISSN: 1879-0682
Full Text Link: ... 5/Binder001.pdf
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://www.sci ... 960148120314075 (Publisher URL)
PURE Output Type: Article
Published Date: 2020-09-15
Accepted Date: 2020-08-31
Authors: Mohammed, Nooriya A.
Al-Bazi, Ammar (ORCID Profile 0000-0002-5057-4171)

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