R
Reza Hemmati
Researcher at Kermanshah University of Medical Sciences
Publications - 87
Citations - 4071
Reza Hemmati is an academic researcher from Kermanshah University of Medical Sciences. The author has contributed to research in topics: Renewable energy & Energy storage. The author has an hindex of 31, co-authored 78 publications receiving 2891 citations. Previous affiliations of Reza Hemmati include University of Isfahan.
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Advanced control strategy on battery storage system for energy management and bidirectional power control in electrical networks
Reza Hemmati,Neda Azizi +1 more
TL;DR: In this paper, an advanced control strategy on battery energy storage systems (BESS) for bidirectional power control and stability improvement is introduced, which is mathematically expressed as a constrained optimization programming and solved by particle swarm optimization (PSO).
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Nonlinear modeling and simulation of battery energy storage systems incorporating multiband stabilizers tuned by Meta-heuristic algorithm
Reza Hemmati,Neda Azizi +1 more
TL;DR: A new control strategy including multiband stabilizers is designed for battery energy storage system (BESS) and the viability and effectiveness of the introduced method is verified through various nonlinear simulations and comparative studies.
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Impacts of renewable energy resources and energy storage systems on the flow-gate prices under deregulated environment
TL;DR: In this paper, the impacts of renewable energy resources and energy storage systems (ESS) on flow-gate marginal pricing (FMP) and locational marginal pricing in a deregulated environment are investigated.
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Managing Multitype Capacity Resources for Frequency Regulation in Unit Commitment Integrated With Large Wind Ramping
TL;DR: The proposed model for unit commitment considers uncertainty and ramping of wind power, frequency regulation capacity, spinning reserve, demand response, and pumped-storage hydroelectricity to deal with ramping and uncertainty.
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A new restructuring of centralized congestion management focusing on flow‐gate and locational price impacts
TL;DR: A new method is proposed for calculating and investing the congestion surplus, which is calculated on the basis of flow-gate marginal prices, and proper investment is applied to increase the social welfare under new formulation in the presence of distributed generation resources.