Energy Storage Systems for Smart Grid Applications

It is very important that the installed renewable energy system should produce the maximum power outputs with minimum costs, and that can only be achieved with the selection of the best optimization technique applied for the best control strategies along with the introduction of the hybrid energy storage systems (HESS). This chapter presents some optimization techniques applied in control strategies for hybrid energy storage systems in distributed renewable energy systems. The integration of energy production and consumption component through the smart grid concept enables increased demand response and energy efficiency. Hybrid energy storage systems and their applications in the renewable energy systems are extensively discussed besides control strategies involved. The storages systems will play an important role in future related to smart grid.

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Energy Storage Systems for Resilience and Robustness Improvement in Smart Grid and Electric Mobility

2019 IEEE 28th International Symposium on Industrial Electronics (ISIE) ◽

10.1109/isie.2019.8781516 ◽

2019 ◽

Keyword(s):

Energy Storage ◽

Smart Grid ◽

Storage Systems ◽

Electric Mobility ◽

Energy Storage Systems

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On using energy storage systems in switching attacks that destabilize smart grid systems

2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) ◽

10.1109/isgt.2015.7131855 ◽

2015 ◽

Cited By ~ 6

Author(s):

Abdallah K. Farraj ◽

Deepa Kundur

Keyword(s):

Energy Storage ◽

Smart Grid ◽

Storage Systems ◽

Energy Storage Systems ◽

Grid Systems

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Multi-Objective Sizing of Battery Energy Storage Systems for Stackable Grid Applications

IEEE Transactions on Smart Grid ◽

10.1109/tsg.2020.3042186 ◽

2020 ◽

pp. 1-1

Author(s):

Nataly Banol Arias ◽

Juan Camilo Lopez ◽

Seyedmostafa Hashemi ◽

John F. Franco ◽

Marcos J. Rider

Keyword(s):

Energy Storage ◽

Storage Systems ◽

Energy Storage Systems ◽

Battery Energy Storage ◽

Multi Objective ◽

Battery Energy Storage Systems ◽

Grid Applications ◽

Battery Energy

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A new operation strategy of PEV parking and hydro storage in smart grid environment

International Journal of Energy Sector Management ◽

10.1108/ijesm-05-2020-0019 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Mohammad Esmaeil Nazari ◽

Mahsa Zarrini Farahmand

Keyword(s):

Energy Storage ◽

Smart Grid ◽

Heuristic Algorithm ◽

Storage Systems ◽

Optimal Operation ◽

Operation Strategy ◽

Energy Storage Systems ◽

Grid Environment ◽

Content Type ◽

Total Cost

Purpose The purpose of this study is to solve the optimal operation strategy problem of plug-in electric vehicles (PEV) parking as a demand response (DR) program and hydro storage as an energy storage system in a smart grid environment using a heuristic algorithm. Design/methodology/approach Studying the smart grid with DR, renewable energy resources and energy storage systems is necessary. To do this, the heuristic optimization algorithm is developed to solve the scheduling problem. This deterministic algorithm benefits from the definition of appropriate fitness functions. Findings For validation, it is shown that reduction of 1.1%–12.5% in pollution and 8.8%–34.8% in total cost are achieved, as compared with literature. Also, the suggested operation strategy of PEVs parking and hydro storage results in reducing the total cost by 6.21%. Originality/value DR programs such as PEV parking play a major role in smart grid developments. Also, energy storage systems such as hydro storage lead to better performance of distributed generations and lower costs and pollution by thermal units. However, based on the literature, the effects of PEV parking and hydro storage on smart grid operation strategy are not considered. Therefore, contributions of this study are: effects of hydro storage on the smart grid are considered, effects of PEV parking on the smart grid are considered, a heuristic algorithm is developed to solve operation strategy problem for PEV parking and hydro storage in a smart grid environment.

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