Ali S. Alghamdi1, Mohana Alanazi2, Abdulaziz Alanazi3, Yazeed Qasaymeh1,*, Muhammad Zubair1,4, Ahmed Bilal Awan5, M. G. B. Ashiq6
CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2163-2192, 2023, DOI:10.32604/cmes.2023.029453
Abstract To maximize energy profit with the participation of electricity, natural gas, and district heating networks in the
day-ahead market, stochastic scheduling of energy hubs taking into account the uncertainty of photovoltaic and
wind resources, has been carried out. This has been done using a new meta-heuristic algorithm, improved artificial
rabbits optimization (IARO). In this study, the uncertainty of solar and wind energy sources is modeled using
Hang’s two-point estimating method (TPEM). The IARO algorithm is applied to calculate the best capacity of hub
energy equipment, such as solar and wind renewable energy sources, combined heat… More >
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