scholarly journals Hydrogen Storage Technologies for Smart Grid Applications

Challenges ◽  
2017 ◽  
Vol 8 (1) ◽  
pp. 13 ◽  
Author(s):  
Stavros Lazarou ◽  
Sofoklis Makridis
Author(s):  
Surender Reddy Salkuti

This paper presents a comprehensive review of current trends in battery energy storage systems, focusing on electrochemical storage technologies for Smart Grid applications. Some of the batteries that are in focus for improvement include Lithium-ion, metal-air, Sodium-based batteries and flow batteries. A descriptive review of these batteries and their sub-types are explained along with their suitable applications. An overview of different types and classification of storage systems has been presented in this paper. It also presents an extensive review on different electrochemical batteries, such as lead-acid battery, lithium-based, nickel-based batteries and sodium-based and flow batteries for the purpose of using in electric vehicles in future trends. This paper is going to explore each of the available storage techniques out there based on various characteristics including cost, impact, maintenance, advantages, disadvantages, and protection and potentially make a recommendation regarding an optimal storage technique.


2019 ◽  
Vol 2 (S1) ◽  
Author(s):  
Filip Pröstl Andrén ◽  
Thomas I. Strasser ◽  
Jürgen Resch ◽  
Bernhard Schuiki ◽  
Sebastian Schöndorfer ◽  
...  

Abstract The massive deployment of distributed generators from renewable sources in recent years has led to a fundamental paradigm change in terms of planning and operation of the electric power system. The usage of advanced automation and information and communication technology is a key element to handle these new challenges and to turn the traditional power system into a smart grid. The implementation of such complex systems solutions is associated with increasing development complexity resulting in increased engineering costs. The traditional engineering methods used for power system automation were not intended to be used for applications of this scale and complexity. However, the usage of proper methods, automation architectures, and corresponding tools holds huge optimization potential for the engineering process. Therefore, this work presents a model-based engineering and validation support system, covering the overall engineering process for smart grid applications.


Sign in / Sign up

Export Citation Format

Share Document