Control theory, Mathematical optimization, Distributed generation, Electricity and Smart grid are his primary areas of study. The Control theory study combines topics in areas such as Wind power, Particle swarm optimization and Electric power system. His study in Mathematical optimization is interdisciplinary in nature, drawing from both PID controller, Robust control, Robustness and Available energy.
The various areas that Ali Mohammad Ranjbar examines in his Electricity study include Energy, Environmental economics and Energy management system. Ali Mohammad Ranjbar has included themes like Energy consumption and Distributed computing in his Smart grid study. His Distributed computing study combines topics from a wide range of disciplines, such as Control engineering and Renewable energy.
Ali Mohammad Ranjbar mostly deals with Electric power system, Control theory, Mathematical optimization, Control engineering and Electricity. His Electric power system research is multidisciplinary, incorporating elements of Electronic engineering, AC power, Electric power transmission and Reliability engineering. His research in Electric power transmission intersects with topics in Phasor, Algorithm and Transmission line.
Ali Mohammad Ranjbar regularly links together related areas like Wind power in his Control theory studies. His Electricity study integrates concerns from other disciplines, such as Distributed generation, Environmental economics, Simulation and Energy. Ali Mohammad Ranjbar combines subjects such as Cogeneration, Distributed computing and Smart grid with his study of Simulation.
Ali Mohammad Ranjbar mainly investigates Control theory, Electric power system, Mathematical optimization, Renewable energy and Wind power. His Control theory research focuses on Stability and how it relates to Load Shedding. His studies in Electric power system integrate themes in fields like Predictability and Topology.
His Mathematical optimization research includes elements of Perfect information, Profit and Reserve power. His Renewable energy research is multidisciplinary, incorporating perspectives in Reliability engineering, Power system simulation and Electricity market. The study incorporates disciplines such as Frequency response, Bidding and Strategic bidding in addition to Wind power.
Ali Mohammad Ranjbar focuses on Renewable energy, Mathematical optimization, Wind power, Electric power system and Profit. His Renewable energy research integrates issues from Electricity market and Frequency regulation. His Mathematical optimization research incorporates elements of Control parameters, Cogeneration, Demand response and Power flow.
His Wind power study combines topics in areas such as Bidding, Strategic bidding and Operations research. He has researched Electric power system in several fields, including Frequency response, Automatic frequency control and Control theory. His Profit study incorporates themes from Discretization, Energy carrier and Energy management.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Optimal placement of PMUs to maintain network observability using a modified BPSO algorithm
Mahdi Hajian;Ali Mohammad Ranjbar;Turaj Amraee;Babak Mozafari.
International Journal of Electrical Power & Energy Systems (2011)
Optimal placement of PMUs to maintain network observability using a modified BPSO algorithm
Mahdi Hajian;Ali Mohammad Ranjbar;Turaj Amraee;Babak Mozafari.
International Journal of Electrical Power & Energy Systems (2011)
Impact of distributed generation on volt/Var control in distribution networks
T. Niknam;A.M. Ranjbar;A.R. Shirani.
ieee powertech conference (2003)
Impact of distributed generation on volt/Var control in distribution networks
T. Niknam;A.M. Ranjbar;A.R. Shirani.
ieee powertech conference (2003)
Integrated Demand Side Management Game in Smart Energy Hubs
Aras Sheikhi;Mohammad Rayati;Shahab Bahrami;Ali Mohammad Ranjbar.
IEEE Transactions on Smart Grid (2015)
An autonomous demand response program for electricity and natural gas networks in smart energy hubs
Aras Sheikhi;Shahab Bahrami;Ali Mohammad Ranjbar.
Energy (2015)
An autonomous demand response program for electricity and natural gas networks in smart energy hubs
Aras Sheikhi;Shahab Bahrami;Ali Mohammad Ranjbar.
Energy (2015)
Optimal PMU Placement by an Equivalent Linear Formulation for Exhaustive Search
Sadegh Azizi;A. S. Dobakhshari;S. Arash Nezam Sarmadi;A. M. Ranjbar.
IEEE Transactions on Smart Grid (2012)
Optimal PMU Placement by an Equivalent Linear Formulation for Exhaustive Search
Sadegh Azizi;A. S. Dobakhshari;S. Arash Nezam Sarmadi;A. M. Ranjbar.
IEEE Transactions on Smart Grid (2012)
Accurate fault location algorithm for series compensated transmission lines
J. Sadeh;N. Hadjsaid;A.M. Ranjbar;R. Feuillet.
IEEE Transactions on Power Delivery (2000)
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