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 and power (CHP) systems,
steam… More >
Login
Register
