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Sustainability
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Sustainable Electric Power Systems: Modelling, Simulation and Analysis
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Sustainable Electric Power Systems: Modelling, Simulation and Analysis

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 6967

Special Issue Editors

Dr. Noradin Ghadimi

grade E-Mail Website
Guest Editor
Department of Industrial Engineering, Ankara Yıldırım Beyazıt University (AYBU), Ankara 06010, Turkey
Interests: energy storage; batteries; power electronics; renewable energy resources; power system applications; smart and microgrids
Special Issues, Collections and Topics in MDPI journals
Dr. Navid Razmjooy

E-Mail Website
Guest Editor
Department of Industrial Engineering, Ankara Yıldırım Beyazıt University (AYBU), 06010 Ankara, Turkey
Interests: renewable energies; control; interval analysis; optimization; image processing; machine vision
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Power system stability refers to the ability of the system's synchronous machines to remain in synchronous mode in the face of any disturbance. That is why this type of stability is also called synchronous stability. Power system stability is divided into three categories: steady-state stability, transient stability, and dynamic stability. Endurance stability is the ability of the various machines of the system to recover and remain in a synchronous state after a small and smooth perturbation, such as a gradual change in load. Transient stability refers to stability after a sudden large disturbance such as fault, generator failure, switching operation and large load change. Dynamic stability is a state between permanent and transient stability and is addressed by voltage regulators, controllers and governors. In this type of stability, small disturbances of 10 to 30 seconds are desired.

According to the explained cases, the aim of this chapter invitation is to study different types of these stabilities, modeling, and analysis of these systems.

This Special Issue calls for theoretical, methodological, policy, and experimental contributions on the topic of sustainable systems. The papers can include, but are not limited to, the following subjects:

  • Application of soft computing in power systems stability
  • Modeling of the power systems and their stability
  • Analyzing different stabilities on different power systems

Dr. Noradin Ghadimi
Dr. Navid Razmjooy
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. Sustainability 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

  • sustainability
  • power systems
  • simulation
  • modeling

Published Papers (3 papers)

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21 pages, 2442 KiB  
Article
Multi-Objective Energy Optimization with Load and Distributed Energy Source Scheduling in the Smart Power Grid
by Ahmad Alzahrani, Ghulam Hafeez, Sajjad Ali, Sadia Murawwat, Muhammad Iftikhar Khan, Khalid Rehman and Azher M. Abed
Sustainability 2023, 15(13), 9970; https://doi.org/10.3390/su15139970 - 22 Jun 2023
Cited by 6 | Viewed by 2334
Abstract
Multi-objective energy optimization is indispensable for energy balancing and reliable operation of smart power grid (SPG). Nonetheless, multi-objective optimization is challenging due to uncertainty and multi-conflicting parameters at both the generation and demand sides. Thus, opting for a model that can solve load [...] Read more.
Multi-objective energy optimization is indispensable for energy balancing and reliable operation of smart power grid (SPG). Nonetheless, multi-objective optimization is challenging due to uncertainty and multi-conflicting parameters at both the generation and demand sides. Thus, opting for a model that can solve load and distributed energy source scheduling problems is necessary. This work presents a model for operation cost and pollution emission optimization with renewable generation in the SPG. Solar photovoltaic and wind are renewable energy which have a fluctuating and uncertain nature. The proposed system uses the probability density function (PDF) to address uncertainty of renewable generation. The developed model is based on a multi-objective wind-driven optimization (MOWDO) algorithm to solve a multi-objective energy optimization problem. To validate the performance of the proposed model a multi-objective particle swarm optimization (MOPSO) algorithm is used as a benchmark model. Findings reveal that MOWDO minimizes the operational cost and pollution emission by 11.91% and 6.12%, respectively. The findings demonstrate that the developed model outperforms the comparative models in accomplishing the desired goals. Full article
(This article belongs to the Special Issue Sustainable Electric Power Systems: Modelling, Simulation and Analysis)
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17 pages, 7327 KiB  
Article
Unified Modeling and Double-Loop Controller Design of Three-Level Boost Converter
by Kyu-Min Lee and IL-Song Kim
Sustainability 2023, 15(2), 1597; https://doi.org/10.3390/su15021597 - 13 Jan 2023
Viewed by 2214
Abstract
A new small-signal modeling of a three-level boost (TLB) converter, as well as the design methodology for a double-loop controller, are presented in this paper. Unlike the conventional modeling of the TLB converter, which involves three state variables, the suggested modeling is based [...] Read more.
A new small-signal modeling of a three-level boost (TLB) converter, as well as the design methodology for a double-loop controller, are presented in this paper. Unlike the conventional modeling of the TLB converter, which involves three state variables, the suggested modeling is based on two state variables; hence, simple transfer functions can be obtained. The proposed method is operable at a full duty ratio using unified modeling approaches, regardless of the mode changes. The analysis shows that the transfer functions of the two operation modes are identical. This suggests that the small-signal modeling of the TLB converter is identical to that of a conventional single-level boost converter. Hence, this implies that a linear feedback controller is applicable for all operational ranges. The method to design a double-loop controller using a proportional-integral controller is shown in a stepwise sequence. In addition, a capacitor voltage unbalancing controller is described. Simulations and experimental verifications are conducted to verify the effectiveness of the small-signal analysis and control system design. Full article
(This article belongs to the Special Issue Sustainable Electric Power Systems: Modelling, Simulation and Analysis)
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16 pages, 10186 KiB  
Article
Mitigating Subsynchronous Torsional Interaction Using Geometric Feature Extraction Method
by Hyeokjin Noh, Hwanhee Cho, Sungyun Choi and Byongjun Lee
Sustainability 2022, 14(23), 16110; https://doi.org/10.3390/su142316110 - 2 Dec 2022
Cited by 1 | Viewed by 1096
Abstract
This paper proposes a method to mitigate subsynchronous torsional interaction detected during power system operation. This innovative method employs the delay reconstruction of the damping controller of a thyristor-controlled series compensator. This addresses the need to detect and manage stability and electromagnetic transients [...] Read more.
This paper proposes a method to mitigate subsynchronous torsional interaction detected during power system operation. This innovative method employs the delay reconstruction of the damping controller of a thyristor-controlled series compensator. This addresses the need to detect and manage stability and electromagnetic transients in power systems caused by the increasing use of fast-response power electronics. Previously, severe oscillation conditions could be avoided via analysis of the subsynchronous torsional interaction scenarios during the planning stage, enabling the suppression of oscillations. However, planning, modeling, and analysis for various scenarios becomes more difficult as the complexity of the power system increases, owing to the use of renewable energy and the incorporation of topology changes. Therefore, interest in measurement data-based real-time oscillation analysis has increased. The first step of the mitigation strategy proposed herein reconstructs nonlinear time-series data to detect subsynchronous torsional interaction in real time and generate alert signals. The second step of the strategy is that the controller mitigates oscillations by controlling the firing angle using the geometric feature extraction method. In this paper, the relaxation of the frequency oscillation in the subsynchronous region of about 22 Hz and about 18 Hz was verified through two simulation cases. Full article
(This article belongs to the Special Issue Sustainable Electric Power Systems: Modelling, Simulation and Analysis)
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