Behnam Mohammadi-Ivatloo
University of Tabriz
565 Papers
862 Citations
Behnam Mohammadi-Ivatloo is an academic researcher from University of Tabriz. The author has contributed to research in topics: Computer science & Renewable energy. The author has an hindex of 51, co-authored 482 publications. Previous affiliations of Behnam Mohammadi-Ivatloo include Sharif University of Technology & Duy Tan University.
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Papers
Robust scheduling of hydrogen based smart micro energy hub with integrated demand response
Amin Mansour-Saatloo,Masoud Agabalaye-Rahvar,Mohammad Amin Mirzaei,Behnam Mohammadi-Ivatloo,Behnam Mohammadi-Ivatloo,Mehdi Abapour,Kazem Zare +6 more
TL;DR: The aim of the proposed model is to minimize the total energy cost of hydrogen-based energy hub integrated with IDR and HSS under a robust optimization (RO) approach considering the uncertainty of electricity price.
171
Short-Term Self-Scheduling of Virtual Energy Hub Plant Within Thermal Energy Market
TL;DR: A new approach to energy hubs’ scheduling is offered, called virtual energy hub (VEH), and a nonprobabilistic information gap method is applied to a test case, and the numerical results validate the proposed approach.
Risk-Constrained Bidding and Offering Strategy for a Merchant Compressed Air Energy Storage Plant
TL;DR: In this article, an information gap decision theory (IGDT)-based risk-constrained bidding/offering strategy for a merchant compressed air energy storage (CAES) plant that participates in the day-ahead energy markets considering price forecasting errors is proposed.
159
Solution of optimal reactive power dispatch of power systems using hybrid particle swarm optimization and imperialist competitive algorithms
TL;DR: In this paper, a hybrid approach based on ICA and PSO is proposed to find the solution of optimal reactive power dispatch (ORPD) of power systems, which is implemented on standard IEEE 57-bus and IEEE 118-bus test systems.
158
Corrective Voltage Control Scheme Considering Demand Response and Stochastic Wind Power
TL;DR: In this paper, a new approach for corrective voltage control (CVC) of power systems in the presence of uncertain wind power generation and demand values is proposed, which considers participation of demand-side resources as an effective control facility that reduces control costs.