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Applied Sciences
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Latest Advances in Modern Energy Systems Planning and Operation
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Latest Advances in Modern Energy Systems Planning and Operation

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".

Deadline for manuscript submissions: closed (20 April 2024) | Viewed by 2875

Special Issue Editors

Dr. Bo Zeng

E-Mail Website
Guest Editor
State Key Laboratory Of Alternate Electrical Power System With Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
Interests: integrated energy system planning and operation; physical-information-social system
Special Issues, Collections and Topics in MDPI journals
Dr. Lu Zhang

E-Mail Website
Guest Editor
College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
Interests: distributed generation systems; optimal operation of distribution networks
Dr. Peng Nan

E-Mail Website
Guest Editor
School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China
Interests: power system protection

Special Issue Information

Dear Colleagues,

This Special Issue aims to collect high-quality papers on energy and power systems. We encourage researchers and experts from various research fields to submit articles highlighting the latest developments in the following topics:

  • Smart grids;
  • The electricity market;
  • Integrated energy systems;
  • Integrated energy services;
  • Energy storage technology;
  • Power system planning and operation.

Dr. Bo Zeng
Dr. Lu Zhang
Dr. Peng Nan
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. Applied Sciences 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.

Published Papers (3 papers)

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Research

15 pages, 1252 KiB  
Article
Highway Microgrid Project Evaluation under Energy Transportation Integration
by Lei Yao, Hao Fu, Ming Shao and Zuyao Yu
Appl. Sci. 2024, 14(7), 2707; https://doi.org/10.3390/app14072707 - 23 Mar 2024
Viewed by 484
Abstract
The construction of highway microgrids is evolving into a new highway energy system that integrates “Source-Network-Load-Storage”. This paper provides a comprehensive evaluation of expressway microgrids from the perspective of transportation and energy integration. An index model is set up that considers the economy, [...] Read more.
The construction of highway microgrids is evolving into a new highway energy system that integrates “Source-Network-Load-Storage”. This paper provides a comprehensive evaluation of expressway microgrids from the perspective of transportation and energy integration. An index model is set up that considers the economy, technology, and environment. The grey evaluation method, on the strength of analytic hierarchy process–entropy weight method, shows that the integrated microgrid of “source-network-load-storage” promotes energy sustainability, supply reliability, and sustainable environmental development. When compared to different evaluation methods for microgrid planning schemes, our method yields the highest score of 0.9127, indicating superior results. This approach is suitable for the multicomponent evaluation system of expressway microgrids and allows for scientifically evaluating microgrid planning schemes. Full article
(This article belongs to the Special Issue Latest Advances in Modern Energy Systems Planning and Operation)
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29 pages, 4197 KiB  
Article
Heat Storage as a Way to Increase Energy Efficiency and Flexibility of NPP in Isolated Power System
by Vladimir Lebedev and Andrey Deev
Appl. Sci. 2023, 13(24), 13130; https://doi.org/10.3390/app132413130 - 09 Dec 2023
Cited by 1 | Viewed by 1057
Abstract
This paper considers a thermal accumulator using phase transition materials as a way to increase the energy efficiency and maneuverability of nuclear power plants. A low-power nuclear power plant is the object of this study. Such nuclear power plants have a great potential [...] Read more.
This paper considers a thermal accumulator using phase transition materials as a way to increase the energy efficiency and maneuverability of nuclear power plants. A low-power nuclear power plant is the object of this study. Such nuclear power plants have a great potential for widespread implementation as sources of thermal and electrical energy for facilities of mineral and raw material as well as fuel and energy complexes located in distant regions. The main principles of development of low-power nuclear power plants are revealed. So, in the development of low-power nuclear power plants, experience in the creation and operation of shipboard nuclear power installations is widely used. The problems of NPP operation in daily maneuvering modes within an isolated power system are revealed. A method for improving the energy efficiency and maneuverability of nuclear power plants is proposed, in particular, through the use of thermal accumulators with a phase change material directly in the NPP circuit. A method of assessment of the dimensions of the heat accumulator and the amount of heat accumulating material is presented. A method of assessment of the efficiency of the accumulator application scheme is presented. The thermal scheme of a promising low-power nuclear power plant with an RITM-200 reactor is compiled. A scheme for switching on a heat accumulator with a phase change material to a scheme for regenerative heating of a turbine is proposed. The heat storage material selection is made, the main elements and characteristics of such an accumulator are determined, and the parameters of the heat transfer fluid’s movement through the accumulator are determined. A mathematical model of the heat exchange in an accumulator based on the finite difference method is compiled, and the simulation results are presented. The results of the experimental verification of the model are presented. As a result of the calculation of NPPs’ thermal schemes in the standard version and the version with a heat accumulator, the power increase in the turbine plant due to the application of accumulated heat in the accumulator discharge mode is determined. Full article
(This article belongs to the Special Issue Latest Advances in Modern Energy Systems Planning and Operation)
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14 pages, 2832 KiB  
Article
Adaptive Leakage Protection for Low-Voltage Distribution Systems Based on SSA-BP Neural Network
by Zhenguo Liu, Hai Yu and Wei Jin
Appl. Sci. 2023, 13(16), 9273; https://doi.org/10.3390/app13169273 - 15 Aug 2023
Cited by 2 | Viewed by 844
Abstract
The fluctuation of normal leakage current has a great influence on the fixed-threshold leakage protector. To address this issue, this paper proposes an adaptive leakage protection method based on the sparrow search algorithm (SSA)-backpropagation (BP) neural network. Based on the analysis of the [...] Read more.
The fluctuation of normal leakage current has a great influence on the fixed-threshold leakage protector. To address this issue, this paper proposes an adaptive leakage protection method based on the sparrow search algorithm (SSA)-backpropagation (BP) neural network. Based on the analysis of the normal leakage current generation mechanism, this method uses the SSA optimized BP neural network to construct a prediction model of normal leakage current. By dividing the normal leakage range into several intervals and setting the corresponding action threshold, the action threshold of the interval is automatically selected in advance, based on the predicted value of the model, so as to realize the adaptive protection of the leakage current faults. Experiments have proved that the leakage protector can identify the leakage fault more sensitively and increase the ratio of the protector put into operation by predicting the development of normal leakage current and adjusting the protection action threshold in advance. Full article
(This article belongs to the Special Issue Latest Advances in Modern Energy Systems Planning and Operation)
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