Management of renewable energy production and distribution planning using agent-based modelling
Mohammed NA, Al-Bazi A (2021)
Publication Type: Journal article
Publication year: 2021
Journal
Book Volume: 164
Pages Range: 509-520
DOI: 10.1016/j.renene.2020.08.159
Abstract
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.
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APA:
Mohammed, N.A., & Al-Bazi, A. (2021). Management of renewable energy production and distribution planning using agent-based modelling. Renewable Energy, 164, 509-520. https://dx.doi.org/10.1016/j.renene.2020.08.159
MLA:
Mohammed, Nooriya Abed, and Ammar Al-Bazi. "Management of renewable energy production and distribution planning using agent-based modelling." Renewable Energy 164 (2021): 509-520.
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