Mosayeb Bornapour
Yasouj University
26 Papers
15 Citations
Mosayeb Bornapour is an academic researcher from Yasouj University. The author has contributed to research in topics: Renewable energy & Wind power. The author has an hindex of 15, co-authored 24 publications. Previous affiliations of Mosayeb Bornapour include Shiraz University of Technology & University of Isfahan.
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Papers
A comprehensive stochastic energy management system of micro-CHP units, renewable energy sources and storage systems in microgrids considering demand response programs
TL;DR: A day-ahead energy management system to decrease the operation cost and increase the reliability of a Microgrid considering a number of challenges for supporting electrical and thermal loads.
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Grasshopper optimization algorithm for optimal load frequency control considering Predictive Functional Modified PID controller in restructured multi-resource multi-area power system with Redox Flow Battery units
TL;DR: A new Predictive Functional Modified PID (PFMPID) controller is proposed that the effectiveness of this controller is verified compared to the traditional one and Grasshopper Optimization Algorithm (GOA) is proposed as a suitable solution to optimize and demonstrate the superiority of the proposed control method.
107
Hybrid hydrogen-battery storage to smooth solar energy volatility and energy arbitrage considering uncertain electrical-thermal loads
TL;DR: In this article, the authors combined the benefits of hydrogen and battery storage devices in the electrical network integrated with solar energy to achieve two purposes including uncertainty leveling and energy arbitrage, where the battery is utilized to shift energy from pricey hours to the inexpensive time intervals and minimizing energy cost in network.
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Optimal stochastic scheduling of CHP-PEMFC, WT, PV units and hydrogen storage in reconfigurable micro grids considering reliability enhancement
TL;DR: In this paper, a micro grid consisting of proton exchange membrane fuel cell-combined heat and power (PEMFC-CHP), wind turbines (WT) and photovoltaic (PV) units, is modeled to determine the optimal scheduling state of these units by considering uncertain behavior of renewable energy resources.
96
An efficient scenario-based stochastic programming method for optimal scheduling of CHP-PEMFC, WT, PV and hydrogen storage units in micro grids
TL;DR: Modified Teaching-Learning-Based Optimization (MTLBO) algorithm is used and its performance is evaluated on a modified 33 bus distribution network and results represent that by using MTLBO method, the revenue increases more than 5 percentages in comparison with other optimization methods.
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