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Energy Systems Planning and Operation under High Penetration of Renewable Energy Sources

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Special Issue Editors

Dr. Phillipe Vilaça Gomes

Department of Computer Science, Universidad Rey Juan Carlos, Móstoles, Spain
Interests: artificial intelligence; evolutionary computation; optimization; regulation of power sector; renewable energy sources integration, power systems planning

Prof. Dr. Bruno Henriques Dias

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Guest Editor

Department of Electrical Energy, Engineering Faculty, Federal University of Juiz de Fora, Juiz de Fora 36036-330, Brazil
Interests: distributed energy sources; plug-in vehicle charging; storage systems; smart grids; distribution system management; electricity markets; energy economics; power system planning; power system operation; applied optimization
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Dr. Basharat Jamil

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Guest Editor

Department of Computer Science and Statistics, Universidad Rey Juan Carlos, Mostoles, 28933 Madrid, Spain
Interests: artificial intelligence; metaheuristics; renewable energy sources; photovoltaics; solar thermal systems

Special Issue Information

Dear Colleagues,

In recent years, the massive penetration of renewable energy sources (RESs) has been deployed worldwide to provide an appropriate answer to urgent problems related to global warming and climate change. However, the intrinsic nature of RES, such as intermittency, low controllability, and hard predictability, brings new challenges for power systems, which were developed in the past to connect dispatchable and controllable power plants to supply a slowly growing and passive demand. To further increase the challenges, the load patterns have changed as well, becoming increasingly active towards distributed energy resources (DERs) such as distributed generation, electric vehicles, demand response, storage energy devices, etc.

As the energy mix in several countries is becoming more renewable and the active behavior in electricity demand has been introduced rapidly in the last few years through DER, electricity transmission systems are now connecting uncertain and intermittent generation patterns to flexible and autonomous or locally controlled demand movements, and the need for further planning and operation studies is eminently clear.

Therefore, this issue of Energies will draw on the findings of mathematical models and applied optimization for renewable penetration from across the world and discuss the use of energy planning and operation in the context of energy transition for the mitigation of global warming and climate change.

We highly encourage papers on cutting-edge industry practice exemplars that may be leveraged to promote the deployment of renewable energy resources across power systems throughout the world.

Dr. Phillipe Vilaça Gomes
Prof. Dr. Bruno Henriques Dias
Dr. Basharat Jamil
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

application of soft computing
application of artificial intelligence
coordinated operation and control of renewables
distributed generation
electricity markets
energy economics
planning and operation of transmission and distribution systems
renewable energy sources
systems decarbonization

Published Papers (2 papers)

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Research

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32 pages, 9011 KiB

Open AccessArticle

Performance of Two Variable Machine Learning Models to Forecast Monthly Mean Diffuse Solar Radiation across India under Various Climate Zones

by Jawed Mustafa, Shahid Husain, Saeed Alqaed, Uzair Ali Khan and Basharat Jamil

Energies 2022, 15(21), 7851; https://0-doi-org.brum.beds.ac.uk/10.3390/en15217851 - 23 Oct 2022

Cited by 5 | Viewed by 1466

Abstract

For the various climatic zones of India, machine learning (ML) models are created in the current work to forecast monthly-average diffuse solar radiation (DSR). The long-term solar radiation data are taken from Indian Meteorological Department (IMD), Pune, provided for 21 cities that span all of India’s climatic zones. The diffusion coefficient and diffuse fraction are the two groups of ML models with dual input parameters (sunshine ratio and clearness index) that are built and compared (each category has seven models). To create ML models, two well-known ML techniques, random forest (RF) and k-nearest neighbours (KNN), are used. The proposed ML models are compared with well-known models that are found in the literature. The ML models are ranked according to their overall and within predictive power using the Global Performance Indicator (GPI). It is discovered that KNN models generally outperform RF models. The results reveal that in diffusion coefficient models perform well than diffuse fraction models. Moreover, functional form 2 is the best followed by form 6. The ML models created here can be effectively used to accurately forecast DSR in various climates. Full article

(This article belongs to the Special Issue Energy Systems Planning and Operation under High Penetration of Renewable Energy Sources)

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Review

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43 pages, 3218 KiB

Open AccessReview

Electricity Markets in the Context of Distributed Energy Resources and Demand Response Programs: Main Developments and Challenges Based on a Systematic Literature Review

by Vinicius Braga Ferreira da Costa, Gabriel Nasser Doyle de Doile, Gustavo Troiano, Bruno Henriques Dias, Benedito Donizeti Bonatto, Tiago Soares and Walmir de Freitas Filho

Energies 2022, 15(20), 7784; https://0-doi-org.brum.beds.ac.uk/10.3390/en15207784 - 20 Oct 2022

Cited by 3 | Viewed by 1970

Abstract

Distributed energy resources have been increasingly integrated into electrical grids. Consequently, electricity markets are expected to undergo changes and become more complex. However, while there are many scientific publications on the topic, a broader discussion is still necessary. Therefore, a systematic literature review on electricity markets in the context of distributed energy resources integration was conducted in this paper to present in-depth discussions on the topic, along with shedding light on current perspectives, the most relevant sources, authors, papers, countries, metrics, and indexes. The software R and its open-source tool Bibliometrix were used to perform the systematic literature review based on the widely recognized databases Web of Science and Scopus, which led to a total of 1685 articles after removing duplicates. The results demonstrate that demand response, renewable energy, uncertainty, optimization, and smart grid are the most-used keywords. By assessing highly impactful articles on the theme, emphasis on energy storage systems becomes clear compared to distributed generation and electric vehicles. However, electric vehicles draw attention in terms of citations. Furthermore, multi-level stochastic programming is the most-applied methodology among highly impactful articles. Due to the relevance of the demand response keyword, this paper also conducts a specific review on the topic aligned with electricity markets and distributed energy resources (296 articles). The results demonstrate that virtually all high-impact publications on the topic address day-ahead or real-time pricing. Based on the literature found, this paper presents a discussion on the main challenges and future perspectives related to the field. The complexity of electrical power systems and electricity markets is increasing substantially according to what this study found. Distributed generation development is already advanced, while energy storage systems and electric vehicles are limited in many countries. Peer-to-peer electricity trading and virtual power plant are newer concepts that are currently incipient, and DR programs showcase an intermediate stage of evolution. A particular lack of research on social issues is verified, and also a lack of all-encompassing studies that address multiple interconnected topics, which should be better addressed in the future. The in-depth assessment carried out in this paper is expected to be of high value to researchers and policy-makers and facilitate future research on the topic. Full article

(This article belongs to the Special Issue Energy Systems Planning and Operation under High Penetration of Renewable Energy Sources)

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