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Development of microgrids for providing electricity to local consumers and industrial estates by researchers at Amirkabir.
| Last update: 2025/01/8 |
Researchers at Amirkabir University of Technology developed a DC microgrid with a hybrid battery-supercapacitor storage system, which is used in solar farms to provide highly reliable electricity for industrial uses and factories, as well as in smaller applications such as smart buildings to prevent power outages. According to the public relations office of Amirkabir University of Technology, Serge Yegiazarian Tabrizi, an alumnus of the university, executed a project titled “Improved Deadbeat Control in Hybrid Supercapacitor-Battery Storage for Amirkabir DC Microgrid” under the guidance of Professor Gevork Qarapetyan, a faculty member of the university. Yegiazarian noted the results of this research, highlighting that the increasing energy demand and rising competition in the electricity market had created a need for a more efficient power grid, encapsulated in the concept of “microgrids and smart grids.” He regarded the completion of the future developmental phase of Amirkabir's microgrid as an important part of the national flagship plan “Smart Grid of the Ministry of Energy,” stating that the construction and implementation of Amirkabir's DC microgrid, along with the introduction of new smart control strategies and simultaneous hybrid battery-supercapacitor storage methods, would enhance the boundaries of knowledge in this field. This advancement is expected to make battery storage systems more economically viable in microgrids and improve the system's ability to respond to short-term and long-term power fluctuations in power systems.
He mentioned that the necessary flexibility to utilize renewable energy sources, which inherently have uncertainties in production, is another advantage of developing the DC microgrid. He added that to achieve these goals, after completing studies and research on the thesis topic, they analyzed the system in terms of dynamic modeling and stability analysis of Amirkabir's DC microgrid. This alumnus of Amirkabir University of Technology described the design and simulation of an improved deadbeat controller based on the MPC method in a software environment for the hybrid supercapacitor-battery storage system as another phase of this research project. He noted that constructing bidirectional converters (boost/buck) in power electronics and implementing a new real-time and intelligent control method to enhance the system's stability against disturbances and increase the speed of computations for generating control signals for the bidirectional converters connected to the hybrid battery-supercapacitor storage system is another step forward in microgrid development.
Yegiazarian emphasized that the developed Amirkabir DC microgrid, featuring a hybrid battery-supercapacitor storage system, can be used in the electricity industry. He mentioned that the results of this research will be published in a reputable international journal in an article titled “Improved MPC Based on Deadbeat for Hybrid Energy Storage Systems in DC Microgrids.” The innovation of this achievement lies in providing a predictive control method for simultaneously and in real-time controlling the bidirectional (boost/buck) power electronics converters connected to the hybrid battery-supercapacitor storage system, aimed at increasing the accuracy of performance and the stability of the central control system against disturbances in the power system, as well as enhancing the speed of computations for generating control signals.
This alumnus of Amirkabir University of Technology highlighted the advantages of this network, including compensation for the mismatch between transient and steady-state power, fast and easy implementation from a computational standpoint, and offering an intelligent control method based on a predictive approach with high precision. This also reduces stress on the battery storage system and extends its lifespan by adjusting the supercapacitor to provide transient power as quickly as possible. He added that the design and implementation of a resilient controller to ensure the proper functioning of the proposed controller against disturbances, such as applying a magnetic field to voltage and current sensors to disrupt the transmission of measured data sent to the microcontroller, are among the other benefits of this project.
Yegiazarian pointed out the applications of the DC microgrid with a hybrid battery-supercapacitor storage system, stating that this microgrid is used in solar farms to provide highly reliable electricity for industrial uses and factories, as well as in smaller applications such as smart buildings to prevent power outages.
He mentioned that the necessary flexibility to utilize renewable energy sources, which inherently have uncertainties in production, is another advantage of developing the DC microgrid. He added that to achieve these goals, after completing studies and research on the thesis topic, they analyzed the system in terms of dynamic modeling and stability analysis of Amirkabir's DC microgrid. This alumnus of Amirkabir University of Technology described the design and simulation of an improved deadbeat controller based on the MPC method in a software environment for the hybrid supercapacitor-battery storage system as another phase of this research project. He noted that constructing bidirectional converters (boost/buck) in power electronics and implementing a new real-time and intelligent control method to enhance the system's stability against disturbances and increase the speed of computations for generating control signals for the bidirectional converters connected to the hybrid battery-supercapacitor storage system is another step forward in microgrid development.
Yegiazarian emphasized that the developed Amirkabir DC microgrid, featuring a hybrid battery-supercapacitor storage system, can be used in the electricity industry. He mentioned that the results of this research will be published in a reputable international journal in an article titled “Improved MPC Based on Deadbeat for Hybrid Energy Storage Systems in DC Microgrids.” The innovation of this achievement lies in providing a predictive control method for simultaneously and in real-time controlling the bidirectional (boost/buck) power electronics converters connected to the hybrid battery-supercapacitor storage system, aimed at increasing the accuracy of performance and the stability of the central control system against disturbances in the power system, as well as enhancing the speed of computations for generating control signals.
This alumnus of Amirkabir University of Technology highlighted the advantages of this network, including compensation for the mismatch between transient and steady-state power, fast and easy implementation from a computational standpoint, and offering an intelligent control method based on a predictive approach with high precision. This also reduces stress on the battery storage system and extends its lifespan by adjusting the supercapacitor to provide transient power as quickly as possible. He added that the design and implementation of a resilient controller to ensure the proper functioning of the proposed controller against disturbances, such as applying a magnetic field to voltage and current sensors to disrupt the transmission of measured data sent to the microcontroller, are among the other benefits of this project.
Yegiazarian pointed out the applications of the DC microgrid with a hybrid battery-supercapacitor storage system, stating that this microgrid is used in solar farms to provide highly reliable electricity for industrial uses and factories, as well as in smaller applications such as smart buildings to prevent power outages.
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