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Sustainable Study and Application of Large-Scale Renewable Energy System

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: 1 October 2024 | Viewed by 596

Special Issue Editors


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Guest Editor
Guangxi Key Laboratory of Power System Optimization and Energy Technology, Guangxi University, Nanning 530004, China
Interests: intelligent diagnosis for transformers
School of Electrical Engineering, Guangxi University, Nanning 530004, China
Interests: long-term planning for new power systems; electric vehicle charging load forecasting and control; power system optimization operation; electricity market; artificial intelligence
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Special Issue Information

Dear Colleagues,

Decarbonization of power systems highly depends on variable renewable energy (VRE), such as wind, solar PV, hydropower, etc. VRE is becoming the most important power source in power systems. However, the integration of large-scale VRE into power systems has introduced many challenges for the planning and operation of power systems due to the nature of intermittency, uncertainty, and spatial heterogeneity of VRE. For example, solar power significantly reduces the load on conventional generators during the day but not during the night, resulting in the frequent start or stop of conventional generators to match unbalanced load demand. The curtailment of wind and solar power will occur when flexible sources are not enough. Increasing accommodation for renewable energy becomes a key issue. To address the issue, the energy storage system, demand response, market mechanisms, optimal dispatching strategies, and multi-energy coupling are promising technologies that can alleviate the impact of the application of VRE.

This Special Issue aims to present the latest advances related to integration and application in the use of VRE considering the planning, operation, and market aspects. It also focuses on technologies addressing the uncertainties of VRE to improve accommodation for renewable energy. Thus, scholars and researchers are kindly invited to consider submitting their original articles for consideration in this Special Issue. Topics of interest for publication include, but are not limited to, the following:

  • Renewable energy sources;
  • Smart grid;
  • Demand response;
  • Market mechanisms;
  • Environmental impact;
  • Power system dynamics and control;
  • Power system planning;
  • Hydrogen production;
  • Vehicle to grid;
  • Energy storage system.

Dr. Yiyi Zhang
Dr. Bo Li
Dr. Sen Guo
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. Sustainability 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

  • renewable energy sources
  • smart grid
  • demand response
  • market mechanisms
  • environmental impact
  • power system dynamics and control
  • power system planning
  • hydrogen production
  • vehicle to grid
  • energy storage system

Published Papers (1 paper)

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Research

19 pages, 2748 KiB  
Article
Correction Control Model of L-Index Based on VSC-OPF and BLS Method
by Yude Yang, Jingru Long, Lizhen Yang, Shuqin Mo and Xuesong Wu
Sustainability 2024, 16(9), 3621; https://doi.org/10.3390/su16093621 - 26 Apr 2024
Viewed by 356
Abstract
With the advancement of artificial intelligence (AI) technology, the real-time measurement and control technology of power systems has also progressed. This paper proposes a correction control model for L-indexes based on voltage stability constrained optimal power flow (VSC-OPF) and a broad learning system [...] Read more.
With the advancement of artificial intelligence (AI) technology, the real-time measurement and control technology of power systems has also progressed. This paper proposes a correction control model for L-indexes based on voltage stability constrained optimal power flow (VSC-OPF) and a broad learning system (BLS) (BLS-VSC-OPF). This model aims to quickly assess the system’s voltage stability and accurately correct the operation mode when the voltage stability indexes are out of the security range. Firstly, the BLS is used to predict the L-index and to analyze the voltage stability of the power system. Secondly, the approximate first-order sensitivity of the L-index is calculated by the combination of the BLS and the perturbation method. This method solves the problem of the complex sensitivity derivation process in the modeling process of the VSC-OPF model. Meanwhile, when the L-index exceeds the threshold, the BLS and VSC-OPF models are combined to correct this operation mode. The feasibility of the proposed method is verified by the simulation of IEEE-30, IEEE-118, and 1047 bus systems. Finally, the BLS-VSC-OPF model is compared with the linear programming correction model based on BLS (BLS-LPC). The results show that the BLS-VSC-OPF model provides a better correction and control performance. Full article
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