Techno economic analysis of microgrid with an efficient energy management system and inverter control strategies

2021 ◽  
Vol 48 ◽  
pp. 101602
Author(s):  
M. Sadees ◽  
J. Preetha Roselyn ◽  
K. Vijayakumar ◽  
Anirudhh Ravi
2019 ◽  
Vol 13 (4) ◽  
pp. 4355-4364 ◽  
Author(s):  
Furkan Ahmad ◽  
Mohammad Saad Alam ◽  
Samir M. Shariff

Author(s):  
Parisa Golchoubian ◽  
Nasser L. Azad

In this study, the potential merits of integrating a supercapacitor into an electric vehicle (EV), namely a Toyota RAV4 EV, is investigated. In particular, the impacts of energy management system (EMS) with a buffer scheme and a dynamic programming (DP)-based control law on the vehicle performance characteristics are examined and compared to the vehicle with no supercapacitor in use. While the simulation results show improvements in the vehicle’s driving range and heat loss for the both considered EMSs, the DP-based controller significantly outperforms the buffer policy. The investigations also demonstrate promising results regarding the use of supercapacitors in EVs, intriguing interest for further studies on online control strategies for these systems.


Author(s):  
Matthew Simeon ◽  
Amuta Elizabeth ◽  
S. T. Wara ◽  
Anthony Adoghe ◽  
Orovwode Hope

2021 ◽  
Vol 9 ◽  
Author(s):  
Yunlong Ma ◽  
Xiao Chen ◽  
Liming Wang ◽  
Jianlan Yang

Electricity market reform provides the conditions for demand-side load resources to be incorporated into the supply–demand regulation, and the increase of residential-side electrification level makes residential load resources a high-quality resource for demand response (DR). Resident home appliances participate in the “two-way interaction” of the power grid in the form of DR, which can effectively alleviate the tension of power supply and consume clean energy, to improve the safe and stable operation of the power system. Firstly, this article summarizes the structure and functions of the home energy management system (HEMS). Secondly, it discusses the key technologies of the HEMS, starting from an advanced metering infrastructure (AMI) and DR technology. Finally, it analyzes the control strategies of the HEMS, including component models and various optimal scheduling algorithms, and describes the challenges of the HEMS.


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