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Optimization in Smart Grids of Electric Power Systems

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 (25 March 2024) | Viewed by 612

Special Issue Editors


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Guest Editor
Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ 08554, USA
Interests: energy systems; control systems; computational methods; reinforcement learning; networking and wireless communications
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Electrical and Computer Engineering, Ajman University, Ajman P.O. Box 346, United Arab Emirates
Interests: renewable energy; power electronics; microgrids; power systems

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Guest Editor
Department of Electrical and Computer Engineering, College of Engineering and Information Technology, Ajman University, Ajman 20550, United Arab Emirates
Interests: hybrid renewable energy systems; power electronics

Special Issue Information

Dear Colleagues,

Smart electric power grids have been the subject of extensive research and applications since the beginning of the last decade, including their integration with renewable electric energy sources. We invite original research papers dealing with optimization issues in smart electric power grids regarding their control, analysis, design, management, reliability, and security, as well as smart grid electric power production, distribution, and conditioning. Papers on load balancing, network topology, and pricing are also appropriate for publication in this Special Issue. The use of modern machine learning techniques (neural networks, support vector machines, reinforcement learning) are particularly welcome. Although many papers and several books have been published on these topics, this field remains challenging for research and implementation, with great potential for numerous applications in future electric networks.

Authors are encouraged to consult any of the Guest Editors regarding the suitability of their papers to this Special Issue.

Prof. Dr. Zoran Gajic
Dr. Zulfiqar Ali Memon
Dr. Ahmed Bilal Awan
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

  • smart grids
  • electric power systems
  • renewable energy sources
  • electric energy production, distribution, and conditioning
  • optimization
  • control
  • system analysis
  • design
  • management
  • reliability and security
  • machine learning techniques

Published Papers (1 paper)

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Research

22 pages, 629 KiB  
Article
Maximizing Solar Share in Robust System Spinning Reserve-Constrained Economic Operation of Hybrid Power Systems
by Rana Muhammad Musharraf Saeed, Naveed Ahmed Khan, Mustafa Shakir, Guftaar Ahmad Sardar Sidhu, Ahmed Bilal Awan and Mohammad Abdul Baseer
Energies 2024, 17(11), 2794; https://0-doi-org.brum.beds.ac.uk/10.3390/en17112794 - 6 Jun 2024
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Abstract
The integration of renewable energy is rapidly leading the existing grid systems toward modern hybrid power systems. These hybrid power systems are more complex due to the random and intermittent nature of RE and involve numerous operational challenges. This paper presents the operational [...] Read more.
The integration of renewable energy is rapidly leading the existing grid systems toward modern hybrid power systems. These hybrid power systems are more complex due to the random and intermittent nature of RE and involve numerous operational challenges. This paper presents the operational model for solar integrated power systems to address the issues of economical operation, reliable solar share, energy deficit in case of contingency events, and the allocation of system spinning reserve. A mixed-integer optimization is formulated to minimize the overall cost of the system operation and to maximize the solar share under robust system spinning reserve limits as well as various other practical constraints. A Pareto-optimal solution for the maximization of the number of solar power plants and minimization of the solar cost is also presented for reliable solar share. Further, a decomposition framework is proposed to split the original problem into two sub-problems. The solution of joint optimization is obtained by exploiting a Lagrange relaxation method, a binary search Lambda iteration method, system spinning reserve analysis, and binary integer programming. The proposed model was implemented on an IEEE-RTS 26 units system and 40 solar plants. Full article
(This article belongs to the Special Issue Optimization in Smart Grids of Electric Power Systems)
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