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Smart Grids: Operation, Planning, and Management

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 (28 February 2022) | Viewed by 3388

Special Issue Editor


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Guest Editor
Associate Professor, Division of Engineering and Mathematics, School of STEM, University of Washington, Bothell, WA 98011-8246, USA
Interests: power system operation and planning; smart grids; power market; renewable energy systems; electric vehicles
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Special Issue Information

Electrical grids worldwide are undergoing a major transition towards smart grids to increase their efficiency, reliability, sustainability and security. Distributed energy resources including energy storage systems, electric vehicles (EVs) with vehicle-to-grid (V2G) capabilities, and renewable energy generation have had significant penetration over recent years. In addition, advancements in communication technologies and smart metering devices along with increasing applications of data analysis and artificial intelligence (AI) methods in energy systems have facilitated the transition.

While much effort is devoted to smart grid studies, there is a pressing need to develop and innovate frameworks for optimal operation, planning and management of smart grids. Such frameworks recognize the synergies among the smart grid technologies and optimize their interactions to benefit the smart grid and its energy entities.

This Special Issue invites researchers from academia and industry to bring together innovative developments, challenges and solutions in the field of smart grids’ operation, planning and management. Potential topics include, but are not limited to:

  • Novel optimization algorithms for operating and planning smart electric grids;
  • Micro-grids and state-of-the-art methods for their optimization and control; Innovative energy management strategies and practices for efficient use of distributed energy sources in smart grids;
  • Smart grids: Technologies, management, big data analytics, communications, security and privacy;
  • Artificial intelligence and machine learning;
  • Reliability analysis of smart grids;
  • Economics of smart energy systems and technologies;
  • EVs and transportation electrification.

Dr. Mahmoud Ghofrani
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

  • Novel optimization algorithms for operating and planning smart electric grids;
  • Micro-grids and state-of-the-art methods for their optimization and control;
  • Innovative energy management strategies and practices for efficient use of distributed energy sources in smart grids;
  • Smart grids: Technologies, management, big data analytics, communications, security and privacy;
  • Artificial intelligence and machine learning;
  • Reliability analysis of smart grids;
  • Economics of smart energy systems and technologies;
  • EVs and transportation electrification.

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Published Papers (1 paper)

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Research

20 pages, 7324 KiB  
Article
Fuzzy Logic-Based Load Frequency Control in an Island Hybrid Power System Model Using Artificial Bee Colony Optimization
by Neelamsetti Kirn Kumar, Rahul Sanmugam Gopi, Ramya Kuppusamy, Srete Nikolovski, Yuvaraja Teekaraman, Indragandhi Vairavasundaram and Siripireddy Venkateswarulu
Energies 2022, 15(6), 2199; https://doi.org/10.3390/en15062199 - 17 Mar 2022
Cited by 25 | Viewed by 2552
Abstract
This study presents the implementation of Artificial Bee Colony (ABC) optimization in an island hybrid power system model using fuzzy logic-based load frequency control. The Island Hybrid Power System considered in this study consisted of various generation units and an energy storage system. [...] Read more.
This study presents the implementation of Artificial Bee Colony (ABC) optimization in an island hybrid power system model using fuzzy logic-based load frequency control. The Island Hybrid Power System considered in this study consisted of various generation units and an energy storage system. The optimized control parameters of PID using ABC were used in an intelligent fuzzy logic controller. The profiles (power & Frequency) of isolated hybrid power system were improved using a Super Conducting Magnetic Energy Storage (SMES) System. Individual controllers were used for wind turbine and diesel generators to control the power output for balancing the demand (frequency change control). Comparative analysis of power and frequency with the help of various classical and intelligent control configurations is presented. The outcome of the study shows that a minimum deviation in frequency and power is obtained through the proposed Intelligent Fuzzy Control approach for the considered isolated power system model. Full article
(This article belongs to the Special Issue Smart Grids: Operation, Planning, and Management)
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