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Processes
Special Issues
Sustainability in Electric and Power Systems
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Sustainability in Electric and Power Systems

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Sustainable Processes".

Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 3488

Special Issue Editor

Dr. Ting-Chia Ou

E-Mail Website
Guest Editor
Institute of Nuclear Energy Research, Taoyuan 32546, Taiwan
Interests: smart grid and microgrid; renewable energy; distribution systems and distributed generators; energy management systems and demand response

Special Issue Information

Dear Colleagues,

Renewable energy generation increase and carbon dioxide reduction targets have been included in global energy policies. However, the growth of renewable energy brings new technical challenges to electric power systems. Generated power depends on weather conditions, such as solar insolation and wind speed. The fluctuations in generated power influences power systems, causing the voltage and frequency of power systems to change suddenly. The power quality in power systems is thereby reduced. The control strategies and operation methods for power systems should be optimized in power systems with a high penetration of renewable energy applications. At the same time, climate change is accelerating and raw materials are being depleted. To meet the above challenges, the world is currently undergoing a radical transition towards sustainable energy.

This Special Issue of Processes, entitled Sustainability in Electric and Power Systems, will present novel challenges and the most advanced and latest research, particularly focussing on the development of and practical considerations for renewable and sustainable energy conversion and next-generation electric and power system techniques. The topics covered in this issue include, but are not limited to, ‎the following keywords.

Dr. Ting-Chia Ou
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. Processes is an international peer-reviewed open access monthly 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

  • sustainable electrical energy systems
  • renewable energy conversion
  • photovoltaic systems
  • wind energy conversion systems
  • energy management systems and demand response
  • smart grid and microgrid
  • distribution systems and distributed generators
  • voltage and frequency control in power systems
  • power system analysis, control, and optimization
  • high voltage direct current systems
  • hybrid energy technologies and electric vehicles
  • Power-to-X applications
  • energy storage technologies

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Published Papers (1 paper)

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Research

27 pages, 1095 KiB  
Article
Optimal Demand-Side Management Using Flat Pricing Scheme in Smart Grid
by Fahad R. Albogamy, Yasir Ashfaq, Ghulam Hafeez, Sadia Murawwat, Sheraz Khan, Faheem Ali, Farrukh Aslam Khan and Khalid Rehman
Processes 2022, 10(6), 1214; https://doi.org/10.3390/pr10061214 - 17 Jun 2022
Cited by 16 | Viewed by 2924
Abstract
This work proposes a framework to solve demand-side management (DSM) problem by systematically scheduling energy consumption using flat pricing scheme (FPS) in smart grid (SG). The framework includes microgrid with renewable energy sources (solar and wind), energy storage systems, electric vehicles (EVs), and [...] Read more.
This work proposes a framework to solve demand-side management (DSM) problem by systematically scheduling energy consumption using flat pricing scheme (FPS) in smart grid (SG). The framework includes microgrid with renewable energy sources (solar and wind), energy storage systems, electric vehicles (EVs), and building appliances like time flexible, power flexible, and base/critical appliances. For the proposed framework, we develop an ant colony optimization (ACO) algorithm, which efficiently schedules smart appliances, and EVs batteries charging/discharging with microgrid and without (W/O) microgrid under FPS to minimize energy cost, carbon emission, and peak to average ratio (PAR). An integrated technique of enhanced differential evolution (EDE) algorithm and artificial neural network (ANN) is devised to predict solar irradiance and wind speed for accurate microgrid energy estimation. To endorse the applicability of the proposed framework, simulations are conducted. Moreover, the proposed framework based on the ACO algorithm is compared to mixed-integer linear programming (MILP) and W/O scheduling energy management frameworks in terms of energy cost, carbon emission, and PAR. The developed ACO algorithm reduces energy cost, PAR, and carbon emission by 23.69%, 26.20%, and 15.35% in scenario I, and 25.09%, 31.45%, and 18.50% in scenario II, respectively, as compared to W/O scheduling case. The results affirm the applicability of the proposed framework in aspects of the desired objectives. Full article
(This article belongs to the Special Issue Sustainability in Electric and Power Systems)
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