Fiber-reinforced Monolithic Supercapacitor with Interdigitated Interfaces

2021 ◽  
Author(s):  
Fanshu Yuan ◽  
Devashish Salpekar ◽  
Abhijit Baburaj ◽  
Anand B. Puthirath ◽  
Sakib Hassan ◽  
...  
Keyword(s):  
Energy Storage ◽  
Emerging Technologies ◽  
Fiber Reinforced ◽  
Distributed Energy ◽  
Power Devices ◽  
Structural Power ◽  
Distributed Energy Storage ◽  
Essential Components ◽  
Storage Networks

Supercapacitors will serve as essential components of distributed energy storage networks and structural power devices in many emerging technologies. Current supercapacitors are engineered, however, using ‘sandwich’ architecture that undermines their...

Intelligent energy scheduling in a microgrid with custom power devices

2020 ◽  
pp. 002072092092966
Author(s):  
V Pramila ◽  
S Chandramohan
Keyword(s):  
Energy Storage ◽  
Power System ◽  
Energy Resources ◽  
Distributed Energy ◽  
Power Devices ◽  
Energy Storage Devices ◽  
Storage Devices ◽  
Distributed Generators ◽  
Distributed Energy Storage ◽  
Custom Power

The increasing penetration of distributed generators may harm power system and its control and operations. The microgrid offers a better solution for the issues in grid operation. Undergraduate electrical engineering and postgraduate power system and power electronics students need to understand the working of microgrid with renewable energy resources along with the optimization and scheduling of power quality custom power devices. To cater better understanding of the microgrid with renewable resources, wind, solar, distributed generators, distributed energy storage devices, DSTATCOM, and plug-in electric vehicle charging load are included in this work presented. In this paper, multiobjective optimization for the operation of microgrid to account for uncertainties in a stochastic energy resources management system is considered. Nonlinear constraint optimization to reduce the running cost, losses, and voltage variations is focused for the optimization. Loss sensitivity analysis is used to find the location wind, solar, distributed generators, distributed energy storage devices, and DSTATCOM. Firefly algorithm is used to optimize the size of distributed generators and DSTATCOM. Optimization reduced the loss, power taken from the grid and improves the voltages in the system. This paper is self-explanatory to the undergraduate and postgraduate students to understand the power flow analysis of microgrid with hybrid renewable energies and optimization technique.

An Exponential Droop Control Strategy for Distributed Energy Storage Systems Integrated with Photovoltaics

2020 ◽  
pp. 1-1
Author(s):  
Angelos I. Nousdilis ◽  
Georgios C. Kryonidis ◽  
Eleftherios O. Kontis ◽  
Georgios Christos Christoforidis ◽  
Grigoris K. Papagiannis
Keyword(s):  
Energy Storage ◽  
Control Strategy ◽  
Storage Systems ◽  
Droop Control ◽  
Distributed Energy ◽  
Energy Storage Systems ◽  
Distributed Energy Storage

scholarly journals Centralized vs. distributed energy storage systems: The case of residential solar PV-battery

Energy ◽  
2021 ◽  
pp. 121443
Author(s):  
Behnam Zakeri ◽  
Giorgio Castagneto Gissey ◽  
Paul E. Dodds ◽  
Dina Subkhankulova
Keyword(s):  
Energy Storage ◽  
Storage Systems ◽  
Solar Pv ◽  
Distributed Energy ◽  
Energy Storage Systems ◽  
Distributed Energy Storage
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