Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.8
3.9
Journals
Sustainability
Special Issues
Intelligent Energy Systems: AI-Based Coordinated Operation and Control of Renewable...
sustainability-logo
Submit to Sustainability Review for Sustainability Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Intelligent Energy Systems: AI-Based Coordinated Operation and Control of Renewable Integrated Power Grid

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

Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 4158

Special Issue Editors

Dr. Muhammad Khalid

E-Mail Website
Guest Editor
1. Electrical Engineering Department, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran 31261, Saudi Arabia
2. Center for Renewable Energy and Power Systems, KFUPM, Dhahran 31261, Saudi Arabia
3. SDAIA-KFUPM Joint Research Center for Artificial Intelligence, KFUPM, Dhahran 31261, Saudi Arabia
Interests: advanced control; distributed generation; energy storage systems; forecasting; micro grids; optimization techniques; renewable power systems; hydrogen systems; smart grids; artificial intelligence; machine learning
Special Issues, Collections and Topics in MDPI journals
Dr. Muhammad Majid Gulzar

E-Mail Website
Guest Editor
1. Department of Control & Instrumentation Engineering (CIE), King Fahd University of Petroleum and Minerals (KFUPM), Dhahran 31261, Saudi Arabia
2. Center for Renewable Energy and Power Systems, KFUPM, Dhahran 31261, Saudi Arabia
Interests: operation and control of renewable energy systems; optimization techniques and applications; micro/smart grid; multi-agent networks; artificial intelligence; machine learning; analysis and design of linear/nonlinear systems

Special Issue Information

Dear Colleagues,

The need to establish a sustainable energy sector across all the domains of energy requirements of humankind has accelerated the need to integrate renewable energy sources into the electricity sector to facilitate the ever-increasing load demand. The paradigm shift towards commonly used renewable energy sources such as photovoltaic (PV) and wind is due to their technological maturity, availability, clean, and sustainable energy sources.

Nevertheless, renewable integration introduces systematic power quality deterioration and stability issues into the power grid. Frequency is the most important metric for ensuring reliable power delivery to a load. Hence, it is indispensable to design a smart energy supervision system that can counter the challenge originated by the perturbation in the load or fluctuation in frequency which gets affected during a fault in any of the interconnected areas of the power system. Moreover, the controller should be efficient to maintain zero steady-state error for frequency disruption with fast response time to preserve system stability.

This Special Issue provides a unique platform to present state-of-the-art research findings in all fields of renewable energy integration and innovative solutions associated with the development and selection of renewable technologies to overcome distinctive technical challenges related to sustainable power establishment. This Special Issue aims to facilitate and promote interdisciplinary researchers to provide multifaced solutions related to the operation and control of renewable energy systems.

We look forward to receiving your contributions.

Dr. Muhammad Khalid
Dr. Muhammad Majid Gulzar
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

  • AI and digitalization in energy sector
  • machine learning applications in renewable power systems
  • smart-grids and cybersecurity
  • automatic generation control
  • centralized control
  • communication delay
  • communication system control
  • complex power system stability and reliability
  • decentralized control
  • deregulated power system
  • disturbance rejection problem
  • energy storage devices
  • event triggering load frequency control
  • event-triggered stability analysis
  • generation rate constraint
  • intelligent/soft computing techniques
  • performance evaluation conditions
  • policies of renewable and smart energy systems
  • power generation economics
  • power system control
  • power system faults
  • power system stability
  • power system auxiliary service
  • predictive control
  • load fluctuation
  • load frequency control
  • load regulation
  • multiarea power systems
  • phasor measurement units
  • quality of service
  • robust performance index
  • smart energy system
  • smart communication system
  • smart information system
  • stability analysis
  • telecommunication networks
  • third party load frequency control
  • time-delayed system
  • time-varying systems
  • uncertain systems
  • wide area network
  • zero steady state error

Published Papers (3 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

53 pages, 11899 KiB  
Article
A Comparative Study of Load Frequency Regulation for Multi-Area Interconnected Grids Using Integral Controller
by Awadh Ba Wazir, Ahmed Althobiti, Abdullah A. Alhussainy, Sultan Alghamdi, Mahendiran Vellingiri, Thangam Palaniswamy and Muhyaddin Rawa
Sustainability 2024, 16(9), 3808; https://doi.org/10.3390/su16093808 - 1 May 2024
Viewed by 562
Abstract
The present paper provides an optimal design for load frequency control (LFC) in the interconnected power system. To obtain an adequate LFC response alongside shortening implementation time and minimizing costs, an integral (I) controller is used. A deep analysis of the I controller-based [...] Read more.
The present paper provides an optimal design for load frequency control (LFC) in the interconnected power system. To obtain an adequate LFC response alongside shortening implementation time and minimizing costs, an integral (I) controller is used. A deep analysis of the I controller-based LFC is presented. At first, a two-area interconnected power system is used, and to enhance the LFC response, the I controller and frequency bias parameters are optimized using three novel optimization algorithms, which are the incomprehensible but intelligible-in-time logic algorithm (ILA), the coati optimization algorithm (COA), and the brown-bear optimization algorithm (BOA). Also, five well-known techniques, namely, particle swarm optimization (PSO), genetic algorithm (GA), simulated annealing (SA), pattern search (PS), and nonlinear programming (NP), are used. A new objective function utilizing the integral of squared error (ISE), settling time, settling-max, and settling-min of the dynamic response is used to increase the efficacy of estimating the parameters. The presented results in this paper showed that the optimized I controller outperforms the classic I controller. After considering a load change in one area by 18.75%, the optimized I controller achieved the lowest ISE values. ISE values were: 0.00582, 0.00179, 0.00176, 0.00178, 0.00321, 0.00304, 0.00179, 0.00185, and 0.00181, for classic I, PSO-I, GA-I, SA-I, PS-I, NP-I, ILA-I, COA-I, and BOA-I. Then, the proposed method is applied to a nonlinear two-area system, demonstrating that the proposed strategies can deal with nonlinearity. As the purpose of the hybrid power system is to create a robust energy infrastructure that adheres to sustainability standards, the proposed algorithms are analyzed in a three-area multi-source power system comprising renewable energy sources (RESs) such as photovoltaic (PV) and wind turbine (WT), a battery energy storage system (BESS), and an electric vehicle (EV). Full article
(This article belongs to the Special Issue Intelligent Energy Systems: AI-Based Coordinated Operation and Control of Renewable Integrated Power Grid)
►▼ Show Figures

Figure 1

29 pages, 5609 KiB  
Article
A Novel Multi Level Dynamic Decomposition Based Coordinated Control of Electric Vehicles in Multimicrogrids
by Muhammad Anique Aslam, Syed Abdul Rahman Kashif, Muhammad Majid Gulzar, Mohammed Alqahtani and Muhammad Khalid
Sustainability 2023, 15(16), 12648; https://doi.org/10.3390/su151612648 - 21 Aug 2023
Cited by 1 | Viewed by 1434
Abstract
This paper presents a novel tetra-level dynamic decomposition-based control approach for coordinated operation of electric vehicles in multimicrogrids, which is comprehensive, generic, modular, and secure in nature, to maximize the utilization of renewable energy sources, while meeting the load demands with the resources [...] Read more.
This paper presents a novel tetra-level dynamic decomposition-based control approach for coordinated operation of electric vehicles in multimicrogrids, which is comprehensive, generic, modular, and secure in nature, to maximize the utilization of renewable energy sources, while meeting the load demands with the resources available. There are a number of microgrids that are connected to the grid. Each microgrid consists of a number of renewable energy sources, energy storage systems, non-renewable energy sources, electric vehicles, and loads. Each distributed energy source or load is controlled by a microsource controller. All microsource controllers with a similar nature are controlled by a unit controller, and all the unit controllers in a microgrid are controlled by a microgrid controller. There is a single multimicrogrid controller at the top. The proposed control scheme was verified through simulation-based case studies. Full article
(This article belongs to the Special Issue Intelligent Energy Systems: AI-Based Coordinated Operation and Control of Renewable Integrated Power Grid)
►▼ Show Figures

Figure 1

16 pages, 3320 KiB  
Article
Neural Networks Based Dynamic Load Modeling for Power System Reliability Assessment
by Luqman Maraaba, Mohammad Almuhaini, Malek Habli and Muhammad Khalid
Sustainability 2023, 15(6), 5403; https://doi.org/10.3390/su15065403 - 18 Mar 2023
Cited by 1 | Viewed by 1406
Abstract
The reliability of a power system is considered as a critical requirement in planning and operating the system due to the increasing demand for more reliable service with a lower frequency and duration of interruption. Hence, reliability is also considered as a major [...] Read more.
The reliability of a power system is considered as a critical requirement in planning and operating the system due to the increasing demand for more reliable service with a lower frequency and duration of interruption. Hence, reliability is also considered as a major challenge in the development of future power systems as they become more advanced and complex, making the accuracy of the reliability assessment dependent on several factors such as supply and load modeling. Recent studies on power systems’ reliability and stability have focused on load modeling, where loads are either assumed to be static or dynamic, by introducing significant constraints. However, the emergence of new types of loads necessitates the development of models that can incorporate them with accuracy, as this would facilitate their effective use in flow and stability simulation studies, as well as reliability analyses. In this study, dynamic loads are modeled using a feed-forward neural network where a simulation test bed is developed in MATLAB/Simulink to generate operating data used during training and validating of the neural network model. Subsequently, Electrical Transient Analyzer Program (ETAP) software is used to verify the effect of load modeling on power system reliability assessment platform. Bus 2 of Roy Billinton Test System (RBTS) is employed as a case study to investigate the sensitivity of the reliability indices, such as System Average Interruption Duration Index (SAIDI) and System Average Interruption Frequency Index (SAIFI), on the load modeling technique with mixed loads (dynamics and statics). Full article
(This article belongs to the Special Issue Intelligent Energy Systems: AI-Based Coordinated Operation and Control of Renewable Integrated Power Grid)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop