Special Issue "Optimization Application to Power Systems with the High Penetration Rate of Renewable Energy"

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

Deadline for manuscript submissions: 30 March 2022.

Special Issue Editor

Prof. Dr. Hwachang Song
E-Mail Website
Guest Editor
Department of Electrical Engineering, Seoul National University of Science and Technology, Seoul 139-743, Korea
Interests: power system stability; optimization application; renewable energy; energy storage systems

Special Issue Information

Dear Colleagues, 

As climate change grows in importance and visibility around the world, reaching critical levels, one of the policies that different governments aim to adopt is the increased use of renewable energy (RE) for electric power generation, resulting in the reduction of fossil fuel use. However, as the penetration rate of renewable energy increases in power systems, it is also becoming more difficult to maintain adequate levels of system security. Thus, several countermeasures to guarantee security need to be employed in the stages of system operation, operational planning, and planning. To come up with those countermeasures, application of optimization techniques is desirable, as various types of control and operation means need to be well coordinated. 

This Special Issue will highlight new technical challenges and advancements in applying optimization methods for power system security in the high RE penetration circumstances. The issue shall cover:

  • Countermeasure establishment for future power system planning;
  • Design of operational planning strategies for power system security enhancement;
  • Establishment of operation strategies, guidelines, and criteria for power systems;
  • Operation and control coordination for operation scheduling and strategy designs of microgrids and virtual power plants using optimization techniques;
  • Design of operation and planning strategies for renewable energy and energy storage systems;
  • Optimization application to forecast and to analyze fluctuation and intermittence characteristics of renewable energy. 

Prof. Dr. Hwachang Song
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 papers will be 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 1900 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

  • Power system optimization
  • Renewable energy
  • High penetration
  • System security
  • Operation and planning

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Article
Optimal Design of an Isolated Hybrid Microgrid for Enhanced Deployment of Renewable Energy Sources in Saudi Arabia
Sustainability 2021, 13(9), 4708; https://doi.org/10.3390/su13094708 - 22 Apr 2021
Cited by 1 | Viewed by 545
Abstract
Hybrid microgrids are presented as a solution to many electrical energetic problems. These microgrids contain some renewable energy sources such as photovoltaic (PV), wind and biomass, or a hybrid of these sources, in addition to storage systems. Using these microgrids in electric power [...] Read more.
Hybrid microgrids are presented as a solution to many electrical energetic problems. These microgrids contain some renewable energy sources such as photovoltaic (PV), wind and biomass, or a hybrid of these sources, in addition to storage systems. Using these microgrids in electric power generation has many advantages such as clean energy, stability in supplying power, reduced grid congestion and a new investment field. Despite all these microgrids advantages, they are not widely used due to some economic aspects. These aspects are represented in the net present cost (NPC) and the levelized cost of energy (LCOE). To handle these economic aspects, the proper microgrids configuration according to the quantity, quality and availability of the sustainable source of energy in installing the microgrid as well as the optimal design of the microgrid components should be investigated. The objective of this paper is to design an economic microgrid system for the Yanbu region of Saudi Arabia. This design aims to select the best microgrid configuration while minimizing both NPC and LCOE considering some technical conditions, including loss of power supply probability and availability index. The optimization algorithm used is Giza Pyramids Construction (GPC). To prove the GPC algorithm’s effectiveness in solving the studied optimization problem, artificial electric field and grey wolf optimizer algorithms are used for comparison purposes. The obtained results demonstrate that the best configuration for the selected area is a PV/biomass hybrid microgrid with a minimum NPC and LCOE of $319,219 and $0.208/kWh, respectively. Full article
Show Figures

Figure 1

Back to TopTop