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Utilization of Power Quality Analysis in Power Systems and Power Distribution Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F2: Distributed Energy System".

Deadline for manuscript submissions: 24 January 2025 | Viewed by 1000

Special Issue Editors

Dr. Wencong Su

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, University of Michigan-Dearborn, 4901 Evergreen Rd, Dearborn, MI 48128, USA
Interests: power systems; electrified transportation systems; cyber–physical systems
Special Issues, Collections and Topics in MDPI journals
Dr. Guilherme Vieira Hollweg

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, University of Michigan-Dearborn, 4901 Evergreen Rd., Dearborn, MI 48128, USA
Interests: adaptive control theory; applications of control; optimization algorithms and control applied in power electronics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In today's energy-intensive era, power quality analysis serves as the backbone of robust, efficient, and reliable power systems. Varied power quality disturbances such as voltage sags/swells, harmonics, flickers, and power outages can significantly impact the performance of power systems, causing equipment damage, operational glitches, and substantial economic losses. This poses a demand for innovative analysis mechanisms, monitoring tools, and corrective strategies to assess and resolve power quality issues, thereby enhancing system performance, reliability, and sustainability.

This Special Issue invites advances, studies, and contributions focused on the "Utilization of Power Quality Analysis in Power Systems and Power Distribution Systems". The primary goal of this Special Issue is to gather and disseminate pioneering research and development initiatives that explore novel techniques, advanced methodologies, and practical applications in the domain of power quality analysis and its impact on power systems and distribution networks.

Potential authors are invited to present their original research articles and case studies regarding the diverse aspects of power quality analysis. This includes, but is not limited to, power quality issue detection, diagnosis and mitigation techniques, real-time power quality monitoring and forecasting, development and implementation of intelligent algorithms for power quality management, the role of smart grids in improving power quality, the impact of renewable energy sources on power quality, and so forth.

Dr. Wencong Su
Dr. Guilherme Vieira Hollweg
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

  • power quality analysis
  • renewable energy sources
  • energy system reliability
  • power system operation and control
  • power quality disturbance detection
  • power quality mitigation techniques

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Published Papers (1 paper)

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Research

53 pages, 21112 KiB  
Article
Advanced Energy Management in a Sustainable Integrated Hybrid Power Network Using a Computational Intelligence Control Strategy
by Muhammad Usman Riaz, Suheel Abdullah Malik, Amil Daraz, Hasan Alrajhi, Ahmed N. M. Alahmadi and Abdul Rahman Afzal
Energies 2024, 17(20), 5040; https://doi.org/10.3390/en17205040 - 10 Oct 2024
Viewed by 739
Abstract
The primary goal of a power distribution system is to provide nominal voltages and power with minimal losses to meet consumer demands under various load conditions. In the distribution system, power loss and voltage uncertainty are the common challenges. However, these issues can [...] Read more.
The primary goal of a power distribution system is to provide nominal voltages and power with minimal losses to meet consumer demands under various load conditions. In the distribution system, power loss and voltage uncertainty are the common challenges. However, these issues can be resolved by integrating distributed generation (DG) units into the distribution network, which improves the overall power quality of the network. If a DG unit with an appropriate size is not inserted at the appropriate location, it might have an adverse impact on the power system’s operation. Due to the arbitrary incorporation of DG units, some issues occur such as more fluctuations in voltage, power losses, and instability, which have been observed in power distribution networks (DNs). To address these problems, it is essential to optimize the placement and sizing of DG units to balance voltage variations, reduce power losses, and improve stability. An efficient and reliable strategy is always required for this purpose. Ensuring more stable, safer, and dependable power system operation requires careful examination of the optimal size and location of DG units when integrated into the network. As a result, DG should be integrated with power networks in the most efficient way possible to enhance power dependability, quality, and performance by reducing power losses and improving the voltage profile. In order to improve the performance of the distribution system by using optimal DG integration, there are several optimization techniques to take into consideration. Computational-intelligence-based optimization is one of the best options for finding the optimal solution. In this research work, a computational intelligence approach is proposed to find the appropriate sizes and optimal placements of newly introduced different types of DGs into a network with an optimized multi-objective framework. This framework prioritizes stability, minimizes power losses, and improves voltage profiles. This proposed method is simple, robust, and efficient, and converges faster than conventional techniques, making it a powerful tool of inspiration for efficient optimization. In order to check the validity of the proposed technique standard IEEE 14-bus and 30-bus benchmark test systems are considered, and the performance and feasibility of the proposed framework are analyzed and tested on them. Detailed simulations have been performed in “MATLAB”, and the results show that the proposed method enhances the performance of the power system more efficiently as compared to conventional methods. Full article
(This article belongs to the Special Issue Utilization of Power Quality Analysis in Power Systems and Power Distribution Systems)
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