Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.2
3.0
Journals
Energies
Special Issues
Research on Power System Control and Optimization
energies-logo
Submit to Energies Review for Energies Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Research on Power System Control and Optimization

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

Deadline for manuscript submissions: closed (31 December 2024) | Viewed by 8850

Special Issue Editors

Dr. Cheng-I Chen

E-Mail Website
Guest Editor
Department of Electrical Engineering, National Central University, Taoyuan 32001, Taiwan
Interests: energy information and communication technology; instrumentation and measurement; digital signal processing; power system; power electronics; intelligent sensing, control and related applications
Special Issues, Collections and Topics in MDPI journals
Dr. Yu-Jen Liu

E-Mail Website
Guest Editor
Department of Electrical Engineering, National Chung Cheng University, Chiayi 621, Taiwan
Interests: power system analysis; microgrid; renewable energy and applications; power conversion and control

Special Issue Information

Dear Colleagues,

Due to the widespread use of renewable energy and microgrids, the issues associated with stable power control, optimal energy management, and the power dispatch of interconnected microgrids have been of great concern. The unsuitable energy arrangement and power dispatch strategy may introduce additional power loss for the interconnected microgrids or power systems, and the insufficient performance of control response would easily lead to the tripping of the power grid and reduce the usage life of the power system equipment. Therefore, improving the robustness of power quality in system control and the optimization of energy management and dispatch have become important issues for both utilities and customers.

Research on Power System Control and Optimization is a Special Issue of Energies for those who wish to publish their original papers about the advanced control and optimization approaches for power systems. This Special Issue aims to present important results of work related to power control and optimization in the smart grid, microgrid, renewable energy, power electronics, electric vehicles and energy management techniques, modernization of power system, energy storage, and their various applications. The works can be applied research, the development of new algorithms or components, original applications of existing knowledge, or new facilities applied to power systems. Prospective authors are invited to submit original papers to this Special Issue. The topics of interest for publication include but are not limited to

  • Control Strategy for Distributed Power Grid;
  • Optimal Configuration of Power Grid;
  • System Regulation Techniques for Maintenance of Power Quality;
  • Control Strategy for Renewable Energy;
  • Power Conditioning of Power Grid (Active and Passive Filters, Var Compensation, UPS, Surge Protection Devices, Phase Balancing, etc.);
  • Standards and Recommended Practices for Power System Control and Optimization;
  • Expert System Applications to Power System Control and Optimization;
  • Energy Control for Electric Vehicle in Power System;
  • Power Quality, Economics, and Stability of Power System Control and Optimization;
  • Impact of Distributed Generation on Power System Control;
  • Control Aspects of Industrial, Commercial and Residential Consumers;
  • Energy Optimal Dispatch;
  • Power Control in a Deregulated Electricity Market;
  • Strategy of Energy Management and System Regulation.

Dr. Cheng-I Chen
Dr. Yu-Jen Liu
Guest Editor

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

  • smart grid
  • micro- and nanogrids
  • compensation of power system
  • optimization of energy dispatch
  • renewable energy
  • energy storage
  • power regulation
  • stability

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

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

Published Papers (5 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

17 pages, 4050 KiB  
Article
Load Frequency Control Based on Gray Wolf Optimizer Algorithm for Modern Power Systems
by Dao Huy Tuan, Dao Trong Tran, Van Nguyen Ngoc Thanh and Van Van Huynh
Energies 2025, 18(4), 815; https://doi.org/10.3390/en18040815 - 10 Feb 2025
Viewed by 792
Abstract
The increasing complexity of modern power systems (MPSs), driven by the integration of renewable energy sources and multi-area configurations, demands robust and adaptive load frequency control (LFC) strategies. This paper proposes a novel approach to the LFC of the MPS by integrating a [...] Read more.
The increasing complexity of modern power systems (MPSs), driven by the integration of renewable energy sources and multi-area configurations, demands robust and adaptive load frequency control (LFC) strategies. This paper proposes a novel approach to the LFC of the MPS by integrating a proportional–integral–derivative (PID) controller optimized using the gray wolf optimizer (GWO) algorithm. The effectiveness of the GWO-PID method is evaluated on multi-area power systems, including systems integrated with wind energy. The GWO-PID controller shows superior frequency stability, achieving deviations of 49.67 Hz, 49.68 Hz, 49.87 Hz, 49.87 Hz and 49.88 Hz for area 1 and area 2 of the two-area multisource MPS, as well as for area 1, area 2 and area 3 in the three-area multisource MPS. The results demonstrate significant improvements in frequency stabilization, reduced oscillations and enhanced steady-state accuracy compared to traditional optimization techniques. This study emphasizes the scalability and adaptability of the proposed method to changing load conditions and complexity of the MPSs, providing a potential solution to ensure stability and reliability for the MPSs. Full article
(This article belongs to the Special Issue Research on Power System Control and Optimization)
►▼ Show Figures

Figure 1

19 pages, 1026 KiB  
Article
Stochastic Optimal Strategies and Management of Electric Vehicles and Microgrids
by Faa-Jeng Lin, Su-Ying Lu, Ming-Che Hu and Yen-Haw Chen
Energies 2024, 17(15), 3726; https://doi.org/10.3390/en17153726 - 28 Jul 2024
Viewed by 1475
Abstract
This study combines the Nash–Cournot competition model and the stochastic optimization model to examine the impact of electric vehicle (EV) quantity fluctuations on microgrid operations, aiming to optimize energy usage in a competitive electricity market. Integrating distributed energy resources and bidirectional charging, microgrids [...] Read more.
This study combines the Nash–Cournot competition model and the stochastic optimization model to examine the impact of electric vehicle (EV) quantity fluctuations on microgrid operations, aiming to optimize energy usage in a competitive electricity market. Integrating distributed energy resources and bidirectional charging, microgrids offer a novel approach for energy optimization, aiding in renewable energy generation, peak demand management, and emission reduction. Empirical evidence highlights benefits in Taiwan’s electricity market and net-zero emissions target by 2050, with a case study demonstrating enhanced local renewable energy generation due to EVs and microgrid integration. As the number of EVs increases, electricity sales from microgrids decline, but electricity purchases remain stable. The degree of electricity liberalization also influences the supply and demand dynamics of the electricity market. Microgrids selling electricity only to the main grid increases total power consumption by 65.55 million MWh, reducing the market share of the state-owned utility (Taipower). Conversely, allowing retailers to purchase from microgrids increases total consumption by 30.87 million MWh with a slight market share decrease for Taipower. This study contributes to providing an adaptable and flexible general model for future studies to modify and expand based on different scenarios and variables to shape energy and environmental policies. Full article
(This article belongs to the Special Issue Research on Power System Control and Optimization)
►▼ Show Figures

Figure 1

20 pages, 4361 KiB  
Article
Efficient Framework to Manipulate Data Compression and Classification of Power Quality Disturbances for Distributed Power System
by Mariana Syamsudin, Cheng-I Chen, Sunneng Sandino Berutu and Yeong-Chin Chen
Energies 2024, 17(6), 1396; https://doi.org/10.3390/en17061396 - 14 Mar 2024
Cited by 2 | Viewed by 1369
Abstract
There is some risk of power quality disturbances at many stages of production, transformation, distribution, and energy consumption. The cornerstone for dealing with power quality problems is the characterization of power quality disturbances (PQDs). However, past research has focused on a narrow topic: [...] Read more.
There is some risk of power quality disturbances at many stages of production, transformation, distribution, and energy consumption. The cornerstone for dealing with power quality problems is the characterization of power quality disturbances (PQDs). However, past research has focused on a narrow topic: noise disruption, overfitting, and training time. A new strategy is suggested to address this problem that combines efficient one-dimensional dataset compression with the convolutional neural network (CNN) classification algorithm. First, three types of compression algorithms: wavelet transform, autoencoder, and CNN, are proposed to be evaluated. According to the IEEE-1159 standard, the synthetic dataset was built with fourteen different PQD types. Furthermore, the PQD classification procedure integrated compressed data with the CNN classification algorithm. Finally, the suggested method demonstrates that combining CNN compression and classification methods can efficiently recognize PQDs. Even in noisy environments, PQD signal processing achieved up to 98.25% accuracy and managed the overfitting. Full article
(This article belongs to the Special Issue Research on Power System Control and Optimization)
►▼ Show Figures

Figure 1

15 pages, 657 KiB  
Article
Wide-Area Measurement-Based Two-Level Control Design to Tolerate Permanent Communication Failures
by Murilo Eduardo Casteroba Bento
Energies 2023, 16(15), 5646; https://doi.org/10.3390/en16155646 - 27 Jul 2023
Cited by 13 | Viewed by 1421
Abstract
The operation of modern power systems must meet stability requirements to guarantee the supply of electrical energy. One of these requirements is to ensure that the low-frequency oscillation modes have high damping ratios to avoid angular instability and future power system blackouts. Advances [...] Read more.
The operation of modern power systems must meet stability requirements to guarantee the supply of electrical energy. One of these requirements is to ensure that the low-frequency oscillation modes have high damping ratios to avoid angular instability and future power system blackouts. Advances in phasor measurement units (PMUs) have contributed to the development and improvement of wide-area damping controllers (WADCs) capable of increasing the damping rates of the oscillation modes of the system, especially the inter-area modes. Nevertheless, the operation of WADCs is vulnerable to communication failures and cyber-attacks, and if not properly designed the WADC can affect the stability of the entire system. This research proposes a procedure for designing a WADC robust to permanent communication failures using a linear quadratic regulator (LQR) and genetic algorithms. Case studies conducted on an IEEE 68-bus test power system show the effectiveness of the WADC designed by the proposed procedure even when communication failures are occurring in the system. The use of genetic algorithms improves the convergence and results of the LQR-based method. Full article
(This article belongs to the Special Issue Research on Power System Control and Optimization)
►▼ Show Figures

Figure 1

27 pages, 7777 KiB  
Article
The Use of a Regulating Transformer for Shaping Power Flow in the Power System
by Szymon Żurek and Maksymilian Przygrodzki
Energies 2023, 16(3), 1548; https://doi.org/10.3390/en16031548 - 3 Feb 2023
Cited by 2 | Viewed by 2705
Abstract
The current situation in world energy requires a new approach to the control of the power flow in power systems. On the one hand, regulations within the EU require the transition to renewable energy. On the other hand, there are no conventional sources [...] Read more.
The current situation in world energy requires a new approach to the control of the power flow in power systems. On the one hand, regulations within the EU require the transition to renewable energy. On the other hand, there are no conventional sources available. Thus, there is a need to use known control tools in non-standard applications. One such example is the use of a regulating transformer inside the power grid to use it to shape the power flow in the system. This article presents a proposal of an algorithm for determining new locations for regulating transformers from the point of view of active power control. By analyzing the parameters of the power grid, it is possible to determine which branch of the grid is the most suitable for installing a regulating transformer in it. The use of a regulating transformer inside the grid improves the transmission capabilities of the national power system. Full article
(This article belongs to the Special Issue Research on Power System Control and Optimization)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-5
Back to TopTop