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Electronics
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Application of Power System Optimization Techniques
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Application of Power System Optimization Techniques

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: closed (1 March 2022) | Viewed by 7633

Special Issue Editors

Prof. Dr. Saeid Gholami Farkoush

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Guest Editor
Department of Electrical Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea
Interests: power system protection; smart grid; power system; FACT devices; electric vehicle; grounding grid
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Sang-Bong Rhee

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Guest Editor
Department of Electrical Engineering, Yeungnam University, Gyeongsan 38541, Korea
Interests: power system protection; smart grid; renewable energy
Special Issues, Collections and Topics in MDPI journals
Prof. Mohammad Salay Naderi

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Guest Editor
Smart Energy Solutions Group Pty Ltd, Sydney 2000, Australia
Interests: electrical engineering; renewable sources; smart energy solutions; high voltage transformer
Prof. Tahir Khurshaid

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Guest Editor
Department of Electrical Engineering, Yeungnam University, Gyeongsan 38541, Korea
Interests: power system restructuring; optimization techniques; renewable energy sources; power system analysis
Special Issues, Collections and Topics in MDPI journals
Dr. Sanam SaeidNahaei

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Guest Editor
Department of Physics, Yeungnam University, Gyeongsan 38541, Korea
Interests: semi-conductor; solar cell; renewable energy; photovoltaics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are inviting submissions to a Special Issue of Electronics entitled “Application of Optimization Techniques in a Power system”.

Due to the scale of energy networks and the amount of data that need to be optimized, optimization techniques are needed to analyze and forecast the behavior of complex power systems. The improvement into a power system using optimization methods produces new challenges but also opportunities. The objective of this Special Issue is therefore to identify the ongoing changes and innovations in the field of power and energy systems. We invite all papers with novel contributions to power systems and future electrical networks on, but not limited to, the following topics:

  • Applications of optimization algorithms in planning and operation concepts of power systems;
  • Grounding grid concepts;
  • Renewable energy concepts;
  • Power system protection;
  • PV system optimization;
  • Battery energy storage system;
  • Energy management system of power systems;
  • Optimization with FACTs.

Prof. Dr. Saeid Gholami Farkoush
Prof. Dr. Sang-Bong Rhee
Prof. Mohammad Salay Naderi
Prof. Tahir Khurshaid
Dr. Sanam SaeidNahaei
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. Electronics 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 2400 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

  • Applications of optimization algorithms in planning and operation concepts of power systems
  • Grounding grid concepts
  • Renewable Energy concepts
  • Power system Protection
  • PV system optimization Battery energy storage system Energy management system of power system
  • Optimization with FACTS

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (3 papers)

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Research

23 pages, 6137 KiB  
Article
Hybridization of PSO for the Optimal Coordination of Directional Overcurrent Protection Relays
by Kashif Habib, Xinquan Lai, Abdul Wadood, Shahbaz Khan, Yuheng Wang and Siting Xu
Electronics 2022, 11(2), 180; https://doi.org/10.3390/electronics11020180 - 7 Jan 2022
Cited by 12 | Viewed by 2054
Abstract
In the electrical power system, the coordination of directional overcurrent protection relays (DOPR) plays a preeminent role in protecting the electrical power system with the help of primary and back up protection to keep the system vigorous and to avoid unnecessary interruption. The [...] Read more.
In the electrical power system, the coordination of directional overcurrent protection relays (DOPR) plays a preeminent role in protecting the electrical power system with the help of primary and back up protection to keep the system vigorous and to avoid unnecessary interruption. The coordination between these relays should be pursued at optimal value to minimize the total operating time of all main relays. The coordination of directional overcurrent relay is a highly constrained optimization problem. The DOPR problem has been solved by using a hybridized version of particle swarm optimization (HPSO). The hybridization is achieved by introducing simulated annealing (SA) in original PSO to avoid being trapped in local optima and successfully searching for a global optimum solution. The HPSO has been successfully applied to five case studies. Furthermore, the obtained results outperform the other traditional and state of the art techniques in terms of minimizing the total operating of DOPR and convergence characteristics, and require less computational time to achieve the global optimum solution. Full article
(This article belongs to the Special Issue Application of Power System Optimization Techniques)
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18 pages, 1637 KiB  
Article
An Effective Coordination Setting for Directional Overcurrent Relays Using Modified Harris Hawk Optimization
by Muhammad Irfan, Seung-Ryle Oh and Sang-Bong Rhee
Electronics 2021, 10(23), 3007; https://doi.org/10.3390/electronics10233007 - 2 Dec 2021
Cited by 13 | Viewed by 2005
Abstract
The relay optimization expresses quite a challenge for smooth and optimal operation of power system networks. The relay optimization is formulated as a mixed integer non-linear problem and is highly constrained. Furthermore, a reliable relaying system must be able to detect and isolate [...] Read more.
The relay optimization expresses quite a challenge for smooth and optimal operation of power system networks. The relay optimization is formulated as a mixed integer non-linear problem and is highly constrained. Furthermore, a reliable relaying system must be able to detect and isolate the faulted portion in a timely manner. Therefore, it is necessary to find optimal parameters for relay settings to be able to respond in a timely way to the encountered fault and at the same time keep in consideration the operational and coordination constraints. This paper proposes modified Harris hawk optimization (MHHO), which is based on the intelligent preying tactics of Harris hawks and the improvement of intended modifications, crowding distance and roulette wheel selection. The proposed algorithm has been tested on IEEE 8 and 15-bus systems, using MATLAB programming. The test systems are the distribution networks covering the medium level voltage for consideration. The simulation results verified the success of MHHO to find optimal settings for the relays. For IEEE 8-bus system, MHHO was able to give 35.45% improvement in the results in comparison to other algorithms. Furthermore, for the IEEE 15-bus system, MHHO showed 24.09% improvement on average. The comparison of the results obtained by MHHO with the other state-of-the-art algorithms proved that it is the strong candidate for optimization of the relay coordination problem. Full article
(This article belongs to the Special Issue Application of Power System Optimization Techniques)
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23 pages, 6673 KiB  
Article
A Novel Solution Methodology Based on a Modified Gradient-Based Optimizer for Parameter Estimation of Photovoltaic Models
by Mohamed H. Hassan, Salah Kamel, M. A. El-Dabah and Hegazy Rezk
Electronics 2021, 10(4), 472; https://doi.org/10.3390/electronics10040472 - 16 Feb 2021
Cited by 33 | Viewed by 2315
Abstract
In this paper, a modified version of a recent optimization algorithm called gradient-based optimizer (GBO) is proposed with the aim of improving its performance. Both the original gradient-based optimizer and the modified version, MGBO, are utilized for estimating the parameters of Photovoltaic models. [...] Read more.
In this paper, a modified version of a recent optimization algorithm called gradient-based optimizer (GBO) is proposed with the aim of improving its performance. Both the original gradient-based optimizer and the modified version, MGBO, are utilized for estimating the parameters of Photovoltaic models. The MGBO has the advantages of accelerated convergence rate as well as avoiding the local optima. These features make it compatible for investigating its performance in one of the nonlinear optimization problems like Photovoltaic model parameters estimation. The MGBO is used for the identification of parameters of different Photovoltaic models; single-diode, double-diode, and PV module. To obtain a generic Photovoltaic model, it is required to fit the experimentally obtained data. During the optimization process, the unknown parameters of the PV model are used as a decision variable whereas the root means squared error between the measured and estimated data is used as a cost function. The results verified the fast conversion rate and precision of the MGBO over other recently reported algorithms in solving the studied optimization problem. Full article
(This article belongs to the Special Issue Application of Power System Optimization Techniques)
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