IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i6p5164-d1097285.html
   My bibliography  Save this article

Editorial for the Special Issue on Sustainable Power Systems and Optimization

Author

Listed:
  • Xiaoqing Bai

    (Key Laboratory of Power System Optimization and Energy Technology, Guangxi University, Nanning 530004, China)

  • Chun Wei

    (College of Information Engineering, Zhejiang University of Technology, Hangzhou 310014, China)

  • Peijie Li

    (Key Laboratory of Power System Optimization and Energy Technology, Guangxi University, Nanning 530004, China)

  • Dongliang Xiao

    (School of Electric Power, South China University of Technology, Guangzhou 510641, China)

Abstract

In recent years, the installed capacity of renewable energy in power systems has increased rapidly to resolve global climate warming issues and promote sustainable development [...]

Suggested Citation

  • Xiaoqing Bai & Chun Wei & Peijie Li & Dongliang Xiao, 2023. "Editorial for the Special Issue on Sustainable Power Systems and Optimization," Sustainability, MDPI, vol. 15(6), pages 1-3, March.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:5164-:d:1097285
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/6/5164/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/6/5164/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Biyun Chen & Yanni Chen & Bin Li & Yun Zhu & Chi Zhang, 2022. "An Optimal Dispatching Model for Integrated Energy Microgrid Considering the Reliability Principal–Agent Contract," Sustainability, MDPI, vol. 14(13), pages 1-16, June.
    2. Yuxin Wen & Peixiao Fan & Jia Hu & Song Ke & Fuzhang Wu & Xu Zhu, 2022. "An Optimal Scheduling Strategy of a Microgrid with V2G Based on Deep Q-Learning," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    3. Dan Zhou & Xiaodie Niu & Yuzhe Xie & Peng Li & Jiandi Fang & Fanghong Guo, 2022. "An Economic Dispatch Method of Microgrid Based on Fully Distributed ADMM Considering Demand Response," Sustainability, MDPI, vol. 14(7), pages 1-17, March.
    4. Biyun Chen & Qi Xu & Zhuoli Zhao & Xiaoxuan Guo & Yongjun Zhang & Jingmin Chi & Canbing Li, 2023. "A Prosumer Power Prediction Method Based on Dynamic Segmented Curve Matching and Trend Feature Perception," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    5. Huihui Shi & Qiang Chen, 2022. "Error-Tracking Iterative Learning Control for the Constrained Flexible-Joint Manipulator with Initial Errors," Sustainability, MDPI, vol. 14(19), pages 1-21, September.
    6. Muhammad Faizan & Jinshun Bi & Mengxin Liu & Lixin Wang & Viktor Stempitsky & Muhammad Zain Yousaf, 2023. "Long Life Power Factor Corrected LED Driver with Capacitive Energy Mechanism for Street Light Applications," Sustainability, MDPI, vol. 15(5), pages 1-15, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kuo-Ing Hwu & Jenn-Jong Shieh & Chien-Ting Lin, 2023. "Universal Input Single-Stage High-Power-Factor LED Driver with Active Low-Frequency Current Ripple Suppressed," Energies, MDPI, vol. 17(1), pages 1-23, December.
    2. Bożena Gajdzik & Magdalena Jaciow & Radosław Wolniak & Robert Wolny & Wieslaw Wes Grebski, 2023. "Energy Behaviors of Prosumers in Example of Polish Households," Energies, MDPI, vol. 16(7), pages 1-26, March.
    3. Jianhong Hao & Ting Huang & Qiuming Xu & Yi Sun, 2023. "Robust Optimal Scheduling of Microgrid with Electric Vehicles Based on Stackelberg Game," Sustainability, MDPI, vol. 15(24), pages 1-15, December.
    4. Dongdong Zhang & Cunhao Rong & Hui Hwang Goh & Hui Liu & Xiang Li & Hongyu Zhu & Thomas Wu, 2023. "Reform of Electrical Engineering Undergraduate Teaching and the Curriculum System in the Context of the Energy Internet," Sustainability, MDPI, vol. 15(6), pages 1-37, March.
    5. Zhang, Shulei & Jia, Runda & Pan, Hengxin & Cao, Yankai, 2023. "A safe reinforcement learning-based charging strategy for electric vehicles in residential microgrid," Applied Energy, Elsevier, vol. 348(C).
    6. Jiashun Li & Aixing Li, 2024. "Optimizing Electric Vehicle Integration with Vehicle-to-Grid Technology: The Influence of Price Difference and Battery Costs on Adoption, Profits, and Green Energy Utilization," Sustainability, MDPI, vol. 16(3), pages 1-19, January.

    More about this item

    Keywords

    n/a;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:5164-:d:1097285. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.