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Innovations and Recent Trends in Power Systems: Smart Grids, Energy Storage Systems and Electric Vehicle Integrations

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".

Deadline for manuscript submissions: 22 May 2024 | Viewed by 1273

Special Issue Editors

Dr. Giuseppe Graber

E-Mail Website
Guest Editor
Department of Industrial Engineering, University of Salerno, 84084 Salerno, Italy
Interests: electronics engineering; power converters; power systems simulation; matlab simulation; energy saving; energy; smart grid; railway; batteries; energy storage; electric vehicle
Special Issues, Collections and Topics in MDPI journals
Dr. Vito Calderaro

E-Mail Website
Guest Editor
Associate Professor, Department of Industrial Engineering, University of Salerno, 84084 Salerno, Italy
Interests: power systems; distribution systems; distributed generation; protection systems and voltage regulation; storage systems for power system application
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Reducing transportation-related greenhouse gas (GHG) emissions through deep decarbonization is a foremost problem in the race against climate change. According to the International Energy Agency (IEA) data, Electric Vehicles (EV) markets are seeing exponential growth as sales exceeded 10 million in 2022. However, further developments of architectures, technologies, energy management and control strategies are required to guarantee a deep penetration of EVs in modern Power Systems. EVs and energy storage systems (ESSs), in general, need to be properly integrated in Smart Grids supporting the transition towards smart grids also considering the presence of renewable energy sources (RESs). The intent of this Special Issue is to collect innovative contributions on Power System analysis and control in presence of, ESSs, RESs and high penetration of EVs. Papers can also cover topics related to techno-economic analysis of ESSs based solutions, innovative strategies for EV smart charging and Vehicle-to-Grid (V2G), methods for integrating RESs in modern power systems considering their related uncertainty, etc. More in details, a non-exhaustive list of topics to be covered in this Special Issue are as follows: EVs grid impact analysis EV smart-charging management for peak reduction into the grid. New power and energy management strategies for V2G and ESSs in smart grids. Second life battery-based approach for ESSs integration into the grid.Integration of RESs in modern power systems.New approaches to provide ancillary services based on ESSs.Innovative control strategies for ESSs in smart grids.Techno-economic analysis of ESSs in power systems for RESs and EVs integration.Lithium-Ion batteries, fuel cells, and supercapacitors applications in modern power systems.Impact of fast and ultra-fast chargers for EVs on power systems.Optimal positioning and sizing of ESSs in smart grids.Impact on grid of wireless charging systems for EVs.Resilience assessment of smart grids in presence of ESSs, RESs and EVsLoad shedding approaches in microgrids considering RESs uncertainty. Power quality issues related to EVs charging and ESSs in smart grids.Power2gas paradigm: integration of transportation network and power system.

Dr. Giuseppe Graber
Dr. Vito Calderaro
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • energy storage systems
  • power systems
  • renewable energy sources
  • electric vehicles
  • smart grids
  • ancillary services
  • vehicle-to-grid
  • power-to-gas
  • second life batteries
  • energy management strategies

Published Papers (1 paper)

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Research

15 pages, 1889 KiB  
Article
Investment Decision for Long-Term Battery Energy Storage System Using Least Squares Monte Carlo
by Kyungcheol Shin and Jinyeong Lee
Energies 2024, 17(9), 2019; https://0-doi-org.brum.beds.ac.uk/10.3390/en17092019 - 25 Apr 2024
Viewed by 278
Abstract
The use of renewable energy sources to achieve carbon neutrality is increasing. However, the uncertainty and volatility of renewable resources are causing problems in power systems. Flexible and low-carbon resources such as Energy Storage Systems (ESSs) are essential for solving the problems of [...] Read more.
The use of renewable energy sources to achieve carbon neutrality is increasing. However, the uncertainty and volatility of renewable resources are causing problems in power systems. Flexible and low-carbon resources such as Energy Storage Systems (ESSs) are essential for solving the problems of power systems and achieving greenhouse gas reduction goals. However, ESSs are not being installed because of Korea’s fuel-based electricity market. To address this issue, this paper presents a method for determining the optimal investment timing of Battery Energy Storage Systems (BESSs) using the Least Squares Monte Carlo (LSMC) method. A case study is conducted considering the System Marginal Price (SMP) and Capacity Payment (CP), which are electricity rates in Korea. Revenue is calculated through the arbitrage of a 10 MW/40 MWh lithium-ion BESS, and linear programming optimization is performed for ESS scheduling to maximize revenue. The ESS revenue with uncertainty is modeled as a stochastic process using Geometric Brownian Motion (GBM), and the optimal time to invest in an ESS is determined using an LSMC simulation considering investment costs. The proposed method can be used as a decision-making tool for ESS investors to provide information on facility investments in arbitrage situations. Full article
(This article belongs to the Special Issue Innovations and Recent Trends in Power Systems: Smart Grids, Energy Storage Systems and Electric Vehicle Integrations)
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