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Electronics
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Emerging Technologies and Applications in Low-Carbon Energy Systems
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Emerging Technologies and Applications in Low-Carbon Energy Systems

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".

Deadline for manuscript submissions: closed (15 August 2023) | Viewed by 5920

Special Issue Editors

Dr. Bonan Huang

E-Mail Website
Guest Editor
Department of Information Science and Engineering, Northeastern University, Shenyang 110819, China
Interests: multi-agent systems; cooperative control; distributed optimization; robotics control; machine learning
Special Issues, Collections and Topics in MDPI journals
Dr. Fei Teng

E-Mail Website
Guest Editor
Marine Electrical Engineering College, Dalian Maritime University, Dalian 116026, China
Interests: energy management of ship integrated energy system; energy management of port integrated energy system; distributed optimization theory; multi-agent collaborative control theory
Special Issues, Collections and Topics in MDPI journals
Dr. Yushuai Li

E-Mail Website
Guest Editor
Department of Computer Science, Aalborg University, 9220 Aalborg, Denmark
Interests: distributed optimization; machine learning; digital twin; energy internet; autonomous driving
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the increasing environmental pollution and energy crisis, low-carbon energy systems have become the only choice for the future. A low-carbon energy system is mainly characterized by multiple kinds of energy and a high ratio of renewable energy. It takes electrical energy as the core to integrate various energy forms in the scene, and uses integrated multi-energy conversion equipment as a means to achieve efficient conversion between various energy sources. To unleash the energy-saving and carbon-reduction potential of such a high-integrated energy system, the collaboration of the latest technologies in various disciplines is required, including materials science, automatic control, artificial intelligence, management, etc.

This Special Issue aims to provide timely solutions for emerging scientific and technical challenges in low-carbon energy systems. Original, high-quality technical papers, as well as state-of-the-art survey papers and tutorials, are invited for submission.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  1. Planning theory and configuration method of low-carbon energy systems;
  2. Control and optimal dispatch strategy of low-carbon energy systems;
  3. Efficient transformation topology and control technology supporting low-carbon energy systems;
  4. Market trading strategies for low-carbon energy systems;
  5. Efficiency evaluation and support service technology for low-carbon energy systems;
  6. Engineering practice of low-carbon energy systems.

Dr. Bonan Huang
Dr. Fei Teng
Dr. Yushuai Li
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. Electronics 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

  • low-carbon energy systems
  • systems modeling
  • energy management strategy
  • energy trading
  • machine learning
  • collaborative control and optimization

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (4 papers)

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Research

16 pages, 4705 KiB  
Article
Design of a Low Power Condenser for Underwater Ships
by Shijun Shen, Chang Liu, Jiaoyuan Chen and Dawei Gong
Electronics 2023, 12(17), 3681; https://doi.org/10.3390/electronics12173681 - 31 Aug 2023
Cited by 2 | Viewed by 1137
Abstract
The power unit generates heat during the operation of a ship, and excessive temperature may cause damage to equipment. Therefore, it is necessary to design a cooling system for the multi-working conditions and variable working conditions of a ship to reduce the adverse [...] Read more.
The power unit generates heat during the operation of a ship, and excessive temperature may cause damage to equipment. Therefore, it is necessary to design a cooling system for the multi-working conditions and variable working conditions of a ship to reduce the adverse effects of high temperatures. The traditional pipeline heat exchanger is inefficient, resulting in a serious waste of resources. In this work, under the background of energy conservation and emission reduction, a new type of cooling system is designed. Using a jet condenser with direct mixing of hot and cold fluids, the technology of frequency conversion regulation is used to optimize the energy conservation of the ship’s cooling system. By adjusting the frequency of the circulating water pump and using the PID algorithm to control the flow of cooling water, the temperature of the condensate outlet can be controlled under variable operating conditions, achieving the goal of maintaining the temperature within a certain range. Because of the complex structure and controlled process of the cooling water system, which has the characteristics of non-linearity and hysteresis, PID control has some limitations. Based on this, the BP neural network is used to adjust and tune the parameters of PID control, thus optimizing the control speed and achieving accuracy in the new cooling system. Full article
(This article belongs to the Special Issue Emerging Technologies and Applications in Low-Carbon Energy Systems)
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19 pages, 4033 KiB  
Article
Multi-Time Interval Dynamic Optimization Model of New Energy Output Based on Multi-Energy Storage Coordination
by Qiwei Wang, Songqing Cheng, Shaohua Ma and Zhe Chen
Electronics 2023, 12(14), 3056; https://doi.org/10.3390/electronics12143056 - 12 Jul 2023
Cited by 2 | Viewed by 1017
Abstract
In response to the problem of mismatch between new energy output and multi-energy load requirement in multi-energy power systems, this article proposes a dynamic optimization model for new energy output in multiple time intervals based on multi-energy storage coordination. First, considering the energy [...] Read more.
In response to the problem of mismatch between new energy output and multi-energy load requirement in multi-energy power systems, this article proposes a dynamic optimization model for new energy output in multiple time intervals based on multi-energy storage coordination. First, considering the energy conversion characteristics of multi-energy storage, the dynamic optimization method of new energy output based on the discrete division of subinterval of scheduling time is studied. Then, considering the cost of adjusting various resources comprehensively, the optimization objective of new energy output is studied, and a model-solving method based on a directed graph topology distributed algorithm is proposed. Finally, simulation verification was conducted, and the simulation results showed that the method proposed in this paper can effectively suppress the new energy fluctuation and reduce peak-shaving costs. Full article
(This article belongs to the Special Issue Emerging Technologies and Applications in Low-Carbon Energy Systems)
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18 pages, 3286 KiB  
Article
Control Strategy for Improving the Voltage Regulation Ability of Low-Carbon Energy Systems with High Proportion of Renewable Energy Integration
by Fei Liu, Yunfei Mu and Zhe Chen
Electronics 2023, 12(11), 2513; https://doi.org/10.3390/electronics12112513 - 2 Jun 2023
Cited by 2 | Viewed by 1453
Abstract
In low-carbon energy systems, due to the high proportion of renewable energy access, the voltage regulation capacity of the system will decrease. Therefore, in the event of voltage violation, it is easy to cause large-scale renewable energy off-grid and power outages. In order [...] Read more.
In low-carbon energy systems, due to the high proportion of renewable energy access, the voltage regulation capacity of the system will decrease. Therefore, in the event of voltage violation, it is easy to cause large-scale renewable energy off-grid and power outages. In order to improve the voltage regulation ability of low-carbon energy system, this paper proposes a two-stage overvoltage suppression strategy for sending-end power grid. Firstly, the principle of overvoltage phenomenon in the sending end power grid of low-carbon energy system with high proportion of renewable energy access is studied, and an overvoltage control strategy composed of two stages of centralized control of rectifier station and flexible resource control of distributed power grid is proposed. Then, the PSO algorithm and consensus algorithm are used to solve the established control model. Finally, a simulation system is established based on actual operating power grid data to verify the proposed control strategy through simulation. The results indicate that the control strategy proposed in this paper can effectively suppress transient overvoltage of AC buses and improve the operational stability of the high proportion of renewable energy sending-end power grid under various operating conditions. In addition, during the daytime overvoltage regulation process, the potential of flexible regulation equipment can be fully utilized. Shortening the duration of voltage exceeding the limit and reducing the peak voltage exceeding the limit can help reduce the renewable energy waste rate of the power grid. Full article
(This article belongs to the Special Issue Emerging Technologies and Applications in Low-Carbon Energy Systems)
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10 pages, 966 KiB  
Article
SOC Balanced Power Distribution Control Strategy of a DC–DC Converter with Virtual Synchronous Generator
by Haodong Zhao, Xiangyong Chen, Chunmei Wang, Xueqiang Liu and Jianlong Qiu
Electronics 2022, 11(23), 3978; https://doi.org/10.3390/electronics11233978 - 30 Nov 2022
Viewed by 1611
Abstract
The DC microgrid does not need to consider frequency when accessing distributed energy, but the distributed energy access port does not have inertia and damping characteristics, so there are problems of voltage instability and power fluctuation. In this paper, the bidirectional DC–DC converter [...] Read more.
The DC microgrid does not need to consider frequency when accessing distributed energy, but the distributed energy access port does not have inertia and damping characteristics, so there are problems of voltage instability and power fluctuation. In this paper, the bidirectional DC–DC converter is the main object; based on the virtual synchronous generator (VSG) control strategy, the inertia regulation is added to adjust the bus voltage dynamically. In addition, a balancing strategy is proposed to ensure the balanced distribution of the state of charge (SOC) and power for multiple batteries. Finally, a simulink is built to prove the viability and availability of the VSG control strategy. Full article
(This article belongs to the Special Issue Emerging Technologies and Applications in Low-Carbon Energy Systems)
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