* General objectives
    Build an energy management model, control and optimize the Lithium-ion battery and supercapacitor mixed energy storage system.
* Specific objectives
- Build a Monitoring, Control and Optimization Unit for Lithium-ion battery and supercapacitor hybrid energy storage system with a combination of low-voltage distribution grid-connected solar cell power to meet the load capacity of 3x500W.
- Build monitoring and control software to optimize the Lithium-ion battery and supercapacitor hybrid energy storage system combined with real-time PV power.
- Master the technology and design of energy management models, control and optimization of Lithium-ion battery and supercapacitor hybrid energy storage systems.

About Science:
It has built a monitoring, control, and optimization system for Lithium-ion battery and supercapacitor hybrid energy storage system with a combination of low-voltage distribution grid-connected solar cell power to meet the load capacity of 3x500W.
Build monitoring and control software to optimize the Lithium-ion battery and supercapacitor hybrid energy storage system combined with real-time PV power.
About the application:
Master the technology and design the energy management model, control and optimize the Lithium-ion battery and supercapacitor hybrid energy storage system. The experimental model of design and operation at the Technology Park has been installed and operated in accordance with the required parameters.

The proposed hybrid system control model has been successfully simulated. When there are factors that alter the energy balance that cause frequency variations, the simulation results show that the proposed control model provides efficient responses to the charging and discharging of batteries and supercapacitors. As a result, the amplitude and frequency change rate have been significantly improved. 
The role of the integration of other renewable energy sources to stabilize the power grid has been analyzed and clarified. Moreover, real-time testing and validation of the proposed model under various operating conditions have made a significant contribution in promoting the practical application of this technology. Potential development can include the creation of scalable models that can be adapted for different mesh configurations, thereby expanding the applicability and impact of this solution.

- Scientific papers in referred journals:
[1]. Bui Van Huy, Trinh Trong Cuong, Quach Duc Cuong, Nguyen Van Hieu, Nguyen Duc Minh. Develop a control method for the solar grid inverse inverter using the DPC algorithm. Journal of Science and Technology, Volume 59 - Issue 5 (10/2023) (The journal is in the list of 0.75 points).
[2]. Hung Van Nguyen, Chuong Trong Trinh, Giang Hoang Vu, Huy Van Bui, Minh Duc Nguyen, Son Hong Nguyen, Cuong Duc Quach and Nghia Trong Hoang. Radioengineering Journal. Grid-forming control for power converters based on hybrid energy storage systems during islanding operation (paper has been Accepted for publication). (The Radioengineering Journal is the member of the Sister Societies' Publications of the IEEE Communications Society. The Radioengineering Journal is covered by Thomson Reuters being indexed and abstracted in Science Citation Index Expanded and Journal Citation Reports. The Radioengineering Journal is covered by the Directory of Open Access Journals, is listed in INSPEC and covered by Scopus), SCIE-Q3.
- Patents:
    Invention name: Control method to stabilize the power grid
    Application accepted: According to Decision No. 105718/QĐ-SHTT dated November 27, 2023 on accepting valid applications.
-    Technological products: 
    A set of equipment that monitors, controls, and optimizes a hybrid energy storage system of Lithium-ion batteries and supercapacitors with a combination of grid-connected solar cell power.
    Software to monitor and control a hybrid energy storage system of Lithium-ion batteries and supercapacitors with a combination of grid-connected solar cell power

The product has been applied at the Technology Research Park, in Co Nhue, Hanoi, and has been operating stably from 8/2024 until now.

It is proposed that the Institute of Science and Technology continue to operate at the installed location, to continue to evaluate the effectiveness of the product and the proposed method.
It is recommended that regulatory agencies continue to support so that in the near future, we will continue to integrate intelligent EMS using real-time data analysis algorithms and machine learning to optimize energy flows in microgrids.