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Optimal Energy Management of Hybrid Renewable Energy Systems

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

Deadline for manuscript submissions: closed (15 May 2022) | Viewed by 1762

Special Issue Editors


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Guest Editor
Research group in Sustainable and Renewable Electrical Technologies. Electrical Engineering Department, University of Cadiz, Cadiz, Spain
Interests: hybrid renewable energies; power electronics in renewable energy systems
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Research Group in Sustainable and Renewable Electrical Technologies, Department of Engineering in Automation, Electronics and Computer Architecture & Networks, University of Cadiz, Algeciras, Spain
Interests: renewable energies generation and control; energy storage; hybrid energy systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, hybrid renewable energy systems (HRES) have been emerging because they have made it possible to supply, either partially or totally, the electric power demanded by consumers, taking advantage of different renewable resources available at an installation site. At present, these systems are a crucial component of smart grids.

Therefore, HRES not only address the energy demand of residential and/or industrial consumers, but they do so in a sustainable manner. In general, the electrical energy generation and storage technologies present in HRES have already reached high maturity levels. This can be clearly seen when analyzing the research published on this subject worldwide. Aspects such as grid configuration, control strategies, generation and storage technologies, or energy conversion systems, among others, are the object of intensive research. It is also noticeable that improving the operation of these systems and their full integration in smart grids require an efficient energy management, that is, the optimization of energy management among the elements of the HRES.

It can be argued that, in order to achieve greater reliability, performance and sustainability in the integration of HRES in smart grids, it is necessary to provide new solutions in the study, modeling, design and implementation of optimization methods for the energy management in HRES. Therefore, this Special Issue aims at gathering the most recent and top level research on this topic and others closely related, such as, but not limited to, the following:

- Formulation and implementation of optimization algorithms applied to HRES.

- Novel optimization techniques.

- Optimal control of power converters.

- Maximum power tracking techniques for renewable power generators.

- Optimization algorithms based on artificial intelligence and machine learning.

- Practical implementation of optimization algorithms in renewable energy generation and energy storage.

- Optimal design, sizing and modeling of HRES.

This Special Issue is intended to present recent developments, challenges and opportunities related to optimal energy management of HRES. The works selected for this publication are expected to contribute significantly to other related fields, such as electric power systems, power conversion technology, advanced control strategies, smart grids, and renewable energy generation and storage, thus gaining a high visibility in some of the most active topics in sustainable energy research.

Prof. Dr. Higinio Sánchez-Sáinz
Dr. Raúl Sarrias-Mena
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

  • Optimization techniques
  • Energy management
  • Hybrid renewable energy systems
  • Operational optimization
  • Optimization algorithm and software tools

Published Papers (1 paper)

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Research

29 pages, 13902 KiB  
Article
Condition-Based Multi-State-System Maintenance Models for Smart Grid System with Stochastic Power Supply and Demand
by Chun-Ho Wang, Chao-Hui Huang and Deng-Guei You
Sustainability 2022, 14(13), 7848; https://0-doi-org.brum.beds.ac.uk/10.3390/su14137848 - 28 Jun 2022
Cited by 2 | Viewed by 1240
Abstract
This study established power-related efficiency measures from the perspective of reliability, namely, power system availability, expected power deficiency, accumulated power deficiency, instantaneous power capacity, and accumulated power capacity for a hybrid power system (HPS) in a generic smart grid. Methodologically, a power supply–demand [...] Read more.
This study established power-related efficiency measures from the perspective of reliability, namely, power system availability, expected power deficiency, accumulated power deficiency, instantaneous power capacity, and accumulated power capacity for a hybrid power system (HPS) in a generic smart grid. Methodologically, a power supply–demand stochastic model that simultaneously considers the inherently stochastic nature of power supply and demand was developed to quantify their interrelationship and characterize the dynamic behavior of an HPS in a continuous-time Markov chain. Preventive maintenance (PM) models were also constructed to determine the optimal PM strategy in alignment with specific scenarios that reflect the power performance requirements and resource limitations. A sensitivity analysis was conducted using the design of experiments (DOE) scheme that simulated climate change and revealed that extreme climate worsens power-related efficiency measures. This analysis provides further insight into the extent to which extreme climate conditions diminish the engineers and designers of smart grid systems’ power-related efficiency measures. The proposed approach will potentially contribute to sustainability and maintainability in the clean energy industry. Full article
(This article belongs to the Special Issue Optimal Energy Management of Hybrid Renewable Energy Systems)
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