Research Frontier in Renewable Energy Systems

Topic Information

Dear Colleagues,

The burning of fossil fuels is responsible for the accumulation of CO2 emissions in the atmosphere. In addition, the rate of fossil fuel production is declining. The global scientific community has committed to exploring and developing technology related to the generation of renewable energy sources to address these challenges. In addition to experimental investigations, entropy and exergy analysis is a suitable approach to evaluate these technologies’ overall performance so long as the proper determination of the model delivers an accurate prediction of the process performance. Furthermore, the thermodynamic approach is economically attractive and time-effective. Novel renewable energy conversion technology shows promise in its ability to meet energy demands in an environmentally friendly manner. This Topic aims to facilitate the dissemination of advanced research related to the process of converting renewable sources into energy. Original research articles and review articles are welcome.

Prof. Dr. T M Indra Mahlia
Dr. Behzad Rismanchi
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Energies energies	3.2	5.5	2008	16.1 Days	CHF 2600
Entropy entropy	2.7	4.7	1999	20.8 Days	CHF 2600
Thermo thermo	-	-	2021	23.2 Days	CHF 1000

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Published Papers (1 paper)

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All Energies Entropy Thermo

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20 pages, 4203 KiB  

Open AccessArticle

Dynamic Risk Assessment of Voltage Violation in Distribution Networks with Distributed Generation

by Wei Hu, Fan Yang, Yu Shen, Zhichun Yang, Hechong Chen and Yang Lei

Entropy 2023, 25(12), 1662; https://doi.org/10.3390/e25121662 - 15 Dec 2023

Viewed by 710

Abstract

In response to the growing demand for economic and social development, there has been a significant increase in the integration of distributed generation (DG) into distribution networks. This paper proposes a dynamic risk assessment method for voltage violations in distribution networks with DG. [...] Read more.

In response to the growing demand for economic and social development, there has been a significant increase in the integration of distributed generation (DG) into distribution networks. This paper proposes a dynamic risk assessment method for voltage violations in distribution networks with DG. Firstly, considering the characteristics of random variables such as load and DG, a probability density function estimation method based on boundary kernel density estimation is proposed. This method accurately models the probability of random variables under different time and external environmental conditions, such as wind speed and global horizontal radiation. Secondly, to address the issue of correlated DG in the same region, an independent transformation method based on the Rosenblatt inverse transform is proposed, which enhances the accuracy of probabilistic load flow. Thirdly, a voltage violation severity index based on the utility function is proposed. This index, in combination with probabilistic load flow results, facilitates the quantitative assessment of voltage violation risks. Finally, the accuracy of the proposed method is verified on the IEEE-33 system. Full article

(This article belongs to the Topic Research Frontier in Renewable Energy Systems)

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