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Electrical Engineering and Energy Storage Devices
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Electrical Engineering and Energy Storage Devices

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "D: Energy Storage and Application".

Deadline for manuscript submissions: 31 October 2024 | Viewed by 2857

Special Issue Editors

Dr. Anil Kumar Yedluri

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, Pusan National University, Busan 46241, Korea
Interests: electrochemistry; energy storage
Special Issues, Collections and Topics in MDPI journals
Dr. Md Moniruzzaman

E-Mail Website
Guest Editor
Chemical and Biological Engineering, Gachon University, Seongnam, Korea
Interests: electrochemistry; energy storage

Special Issue Information

Dear Colleagues,

Supercapacitors/Batteries are electrochemical energy storage and conversion devices known for their immense power densities and operational lifetimes. New stringent environmental policies entail a fast-growing energy demand from renewable energy sources to date. Electrochemical supercapacitor energy sources currently represent the most widespread renewable sources, although they have an intermittent and fluctuating behavior. Supercapacitors/Batteries find them readily applicable in portable electronics, automobile vehicles, stationary power stations and backup power supplies, etc. However, the major challenge for supercapacitors is their insufficient specific capacity/capacitance, which limits their more wide applications. In recent years, there is tremendous effort focusing on the development of new and cost-effective electrodes and electrolyte materials as well as electrode configuration to improve the specific capacity/capacitance density of the next generation of supercapacitors. At present, with the continuous improvement of electrochemical energy storage technologies, the increasingly mature market model and the rapid expansion of application scale, the era of energy revolution supported by energy storage technologies has quietly arrived. Therefore, development of electrochemical energy storage technologies is an indivisible part of resolving the energy crisis problem in the future. In order to benchmark the state of research in this area at this time, Energies invites for a special issue dedicated to recent development in Supercapacitors/Batteries. Topics on any Supercapacitors/Batteries-related aspects are encouraged with specific attention to the following topics of electrical double layer capacitors (EDLCs), Pseudocapacitors (PCs), and hybrid capacitors (HCs), focusing on state-of the-art progresses, developments and new trends:Topics of interest for publication include, but are not limited to: New configuration for hybrid capacitors Supercapacitor technologies, processes and materials; Electrode materials development Special devices for unconventional applications or harsh environments; Hybrid and lithium-ion capacitors; Experimental techniques for testing, characterization, monitoring and diagnosis of supercapacitors; Approaches and tools for supercapacitor modeling and simulation; Electrolytes development; Capacitor chargers and management systems; Cyclability and self-discharge analysis; Power electronics and converters for supercapacitors interfacing; Systems and applications exploiting supercapacitors, such as energy storage, uninterruptible power supplies, smart grids, advanced transportation, renewable sources and clean energies; Supercapacitor integration and combinations with other energy storage solutions; Electrical vehicles, machines, starters and drives supported by supercapacitors; Modeling with new synthesis tecknologies on the electrodes/electrolytes and system; Energy harvesting and recovery, including regenerative braking; System integration and coupling of supercapacitors to fuel cells and batteries; Reliability and safety of supercapacitors and related systems; Novel/efficient applications including portable devices, back-up powers, automobiles.

Dr. Anil Kumar Yedluri
Dr. Md Moniruzzaman
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

  • supercapacitors
  • batteries
  • solarcells (QDSSCs, DSSCs)
  • energy storage
  • energy management
  • energy conversion
  • power electronics
  • pulsed power
  • perovskite solarcells
  • fast control
  • electrical machines and drives
  • electric and hybrid vehicles

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Published Papers (2 papers)

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Research

17 pages, 2203 KiB  
Article
Distribution Network Reconfiguration Using Chaotic Particle Swarm Chicken Swarm Fusion Optimization Algorithm
by Yanmin Wu, Jiaqi Liu, Lu Wang, Yanjun An and Xiaofeng Zhang
Energies 2023, 16(20), 7185; https://doi.org/10.3390/en16207185 - 21 Oct 2023
Cited by 5 | Viewed by 1140
Abstract
Aiming at the problems of traditional optimization algorithms for reconfiguring distribution networks, which easily fall into a local optimum, have difficulty finding a global optimum, and suffer from low computational efficiency, the proposed algorithm named Chaotic Particle Swarm Chicken Swarm Fusion Optimization (CPSCSFO) [...] Read more.
Aiming at the problems of traditional optimization algorithms for reconfiguring distribution networks, which easily fall into a local optimum, have difficulty finding a global optimum, and suffer from low computational efficiency, the proposed algorithm named Chaotic Particle Swarm Chicken Swarm Fusion Optimization (CPSCSFO) is used to optimize the reconfiguration of the distribution network with distributed generation (DG). This article works to solve the problems mentioned above from the following three aspects: Firstly, chaotic formula is used to improve the initialization of the particles and optimize the optimal position. This increases individual randomness while avoiding local optimality for inert particles. Secondly, chicken swarm optimization (CSO) and particle swarm optimization (PSO) are combined. The multi-population nature of the CSO algorithm is used to increase the global search capability, and, at the same time, the information exchange between groups is completed to extend the particle search range, which ensures the independence and excellence of each particle group. Thirdly, the node hierarchy method is introduced to calculate the power flow. The branching loop matrix and the node hierarchy strategy are used to detect the network topology. In this way, improper solutions can be reduced, and the efficiency of the algorithm can be improved. This paper has demonstrated better performance by CPSCSFO based on simulation results. The network loss has been reduced and the voltage level of each node in the optimal reconfiguration with distributed power supply has been improved; the network loss in the optimal reconfiguration with DG is 69.59% lower than that reconfiguration before. The voltage level of each node is increased, the minimum node voltage is increased by 3.44% and a better convergence speed is presented. As a result, the quality of network operation and the distribution network is greatly improved and provides guidance for building a safer, more economical and reliable distribution network. Full article
(This article belongs to the Special Issue Electrical Engineering and Energy Storage Devices)
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19 pages, 5388 KiB  
Article
Constrained Least-Squares Parameter Estimation for a Double Layer Capacitor
by Nayzel I. Jannif, Rahul R. Kumar, Ali Mohammadi, Giansalvo Cirrincione and Maurizio Cirrincione
Energies 2023, 16(10), 4160; https://doi.org/10.3390/en16104160 - 18 May 2023
Viewed by 1173
Abstract
This paper presents an estimation of the parameters for a Double Layer Super Capacitor (DLC) that is modelled with a two-branch circuit. The estimation is achieved using a constrained minimization technique, which is developed off-line and uses a single constraint to write the [...] Read more.
This paper presents an estimation of the parameters for a Double Layer Super Capacitor (DLC) that is modelled with a two-branch circuit. The estimation is achieved using a constrained minimization technique, which is developed off-line and uses a single constraint to write the matrix equation. The model is algebraically manipulated to obtain a matrix equation, and a signal processing system is developed to prepare the signals for the identification algorithms. The proposed method builds on the results obtained using an unconstrained ordinary least-squares (OLS) technique. The method is tested both in simulation and experimentally, using a specially-designed experimental rig. A current ramp input is used to generate the corresponding output voltage and its derivatives. The results obtained from the constrained off-line minimization algorithm are compared with those obtained using a traditional off-line estimation method. The discussion of the results shows that the proposed method outperforms the traditional estimation technique. In summary, this paper contributes to the field of DLC parameter estimation by introducing a new off-line constrained minimization technique. The results obtained from the simulations and experimental rig demonstrate the effectiveness of the proposed method with two of three parameters showing relative errors less than 5%. Full article
(This article belongs to the Special Issue Electrical Engineering and Energy Storage Devices)
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