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Intelligent Control Technologies for High Permeability Renewable Energies Featured Power Grid

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".

Deadline for manuscript submissions: 31 August 2024 | Viewed by 930

Special Issue Editors

Dr. Hongbo Li

E-Mail Website
Guest Editor
1. Department of Light Source and Lighting Engineering, School of Information Science and Technology, Fudan University, Shanghai 200433, China
2. Power Grid Technology Research Department, Center for Basic Research and Plaform, CRRC (China Railway Rolling Stock Coperation) Zhuzhou Institute Co., Ltd, Zhuzhou 412001, China
Interests: smart grids; energy management system and related intelligent algorithm; virtual power plant; active supporting technology for new type power grid with high renewable source generation ratio; PV grid-tied converters; power electronics transformers; carbon peaking and carbon neutrality related technology
Special Issues, Collections and Topics in MDPI journals
Dr. Hui Zhao

E-Mail Website
Guest Editor
Department of Light Source and Lighting Engineering, School of Information Science and Technology, Fudan University, Shanghai, China
Interests: EMI; DC/DC converter
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The  need for  low carbon emissions due to global climate change and the increasing energy consumed by social development promote the power grid transforming into a new stage by way of introducing extensive renewable energy and power electronic devices. However, with the influence of energy structure adjustment, the new power grid is facing some challenges. The randomness and intermittence of new energy sources lead to stability problems in the voltage and frequency of the power grid.  Meanwhile, the  inertia and damping of the power grid with massive power electronic equipment is reduced, leading to a vulnerable anti-disturbance capability of the grid.

To solve the above problems, the following solutions can be adopted.

  • Enhancing the intelligence level of the power grid on the basis of advanced information technology and artificial intelligence algorithms to conduct intelligent perception, data analysis, and optimal dispatching of the power grid to improve the stability and efficiency of the power system.
  • Establishing a sound energy management platform and early warning mechanism to monitor the operation status of the power system in real time, find problems in time, and take corresponding measures to improve the ability of power supply guarantee.

Technical papers are called for on any subject pertaining to the scope of  intelligent control technologies for high permeability renewable energies featured power grid ,  including, but not limited to, the following major topics:

  • Power flow optimization dispatching control for power grid;
  • Renewable energy grid-tied power quality management;
  • Grid-supporting and grid-forming technology, including virtual synchronous generator, synchronverter, rotating machine based equipment and control, etc.;
  • Power electronic converters and semiconductor device-related technologies in power grid application;
  • Multi-time-scale high precision prediction technology for electric loads and power generation;
  • Integrated energy planning and control considering carbon emission, economy, and stability;
  • Energy cyber-physical system;
  • Applications of block-chain and artificial intelligence technologies in smart grid;
  • Energy management platform.

Dr. Hongbo Li
Dr. Hui Zhao
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

  • smart grid
  • renewable energy
  • energy management
  • power flow optimization and dispatching
  • integrated energy planning
  • active supporting and stabilization for power grid
  • cyber-physical system
  • artificial intelligence
  • power electronics

Published Papers (1 paper)

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Research

19 pages, 5945 KiB  
Article
A Refined DER-Level Transient Stability Prediction Method Considering Time-Varying Spatial–Temporal Correlations in Microgrids
by Huimin Zhao, Lili He, Yelun Peng, Zhikang Shuai, Zhixue Zhang and Liang Hu
Energies 2024, 17(3), 636; https://doi.org/10.3390/en17030636 - 29 Jan 2024
Viewed by 656
Abstract
The transient responses of distributed energy resources (DERs) in a microgrid are dynamically correlated in spatial and temporal dimensions. Hence, the transient stability prediction in microgrids would require an effective modeling of time-varying correlations and the mining of spatial–temporal features of electrical data. [...] Read more.
The transient responses of distributed energy resources (DERs) in a microgrid are dynamically correlated in spatial and temporal dimensions. Hence, the transient stability prediction in microgrids would require an effective modeling of time-varying correlations and the mining of spatial–temporal features of electrical data. This paper proposes a refined DER-level transient stability prediction method for microgrids considering the time-varying spatial–temporal correlations of DERs. First, the spatial–temporal dynamic correlation of DERs was extracted and modeled by an attention-based mechanism. Then, a spatial–temporal graph convolution network was proposed to predict the dynamics of unstable DERs and the instability severity trend in a microgrid. The TSP model consisted of three parts: (1) several stacked spatial–temporal convolution modules to simultaneously mine the spatial–temporal dynamic features of microgrids, (2) an unstable DER identification module to predict the microgrid system stability and identify unstable DERs, and (3) an instability severity trend prediction module for DERs in a microgrid. The test results on a realistic 16-bus 10-DER microgrid demonstrated that the proposed prediction method possessed the desirable reliability and interpretability and outperformed the state-of-the-art baselines in unstable DER identifications and DER instability severity trend predictions. Full article
(This article belongs to the Special Issue Intelligent Control Technologies for High Permeability Renewable Energies Featured Power Grid)
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