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Power Generation Systems for Green Sustainable Energy
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Power Generation Systems for Green Sustainable Energy

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 1984

Special Issue Editors

Prof. Dr. Yanghong Xia

E-Mail Website
Guest Editor
College of Electrical Engineering, Zhejiang University, Hnagzhou, China
Interests: distributed power generation; hydrogen production by electrolysis of renewable energy; intelligent distribution power system; power electronic control
Special Issues, Collections and Topics in MDPI journals
Dr. Yaolong Bo

E-Mail Website
Guest Editor
College of Electrical Engineering, Zhejiang University, Hnagzhou, China
Interests: integrated energy system; optimization in smart grid

Special Issue Information

Dear Colleagues,

As concerns about climate change, resource depletion, and environmental degradation continue to grow, the need for green sustainable energy becomes more urgent than ever. Green energy refers to the production of energy using environmentally friendly methods that minimize negative impacts on the planet. Power generation systems play a crucial role in transitioning to a greener future as they harness renewable energy sources, reduce greenhouse gas emissions, and foster sustainable development. Hence, power generation systems have been studied in depth for green sustainable energy, such as: solar energy systems, wind energy systems, hydropower systems, biomass energy systems, geothermal energy systems, and tidal and wave energy systems. Each of these power generation systems offers unique advantages in the pursuit of green sustainable energy. By diversifying our energy portfolio, investing in research and development, and embracing innovative technologies, we can work towards a more sustainable future where our energy needs are met without compromising the health of our planet. Through this Special Issue, we hope to summarize the current research on power generation systems for green sustainable energy and explore the application of advanced materials, information technology, etc., in the systems.

This Special Issue will focus on novel power generation systems, advanced materials, optimization techniques, and emerging trends in renewable energy technologies, as well as policy implications and challenges associated with the transition to a green energy future.

Prof. Dr. Yanghong Xia
Dr. Yaolong Bo
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

  • low-carbon development
  • sustainable development
  • power system planning
  • integrated energy system

Published Papers (2 papers)

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Research

22 pages, 5240 KiB  
Article
A Non-Intrusive Identification Approach for Residential Photovoltaic Systems Using Transient Features and TCN with Attention Mechanisms
by Yini Ni, Yanghong Xia, Zichen Li and Qifan Feng
Sustainability 2023, 15(20), 14865; https://doi.org/10.3390/su152014865 - 13 Oct 2023
Viewed by 728
Abstract
In order to reduce the negative impact of the large-scale grid connection of residential photovoltaic (PV) equipment on the distribution network, it is of great significance to realize the real-time accurate identification of the grid connection state and its switching of residential PV [...] Read more.
In order to reduce the negative impact of the large-scale grid connection of residential photovoltaic (PV) equipment on the distribution network, it is of great significance to realize the real-time accurate identification of the grid connection state and its switching of residential PV equipment from the distribution network side. This paper introduces a non-intrusive method for identifying residential PV systems using transient features, leveraging the temporal convolutional network (TCN) model with attention mechanisms. Firstly, the discrimination and redundancy of transient features for residential PV devices are measured using a feature selection method based on the semi-Fisher score and maximal information coefficient (MIC). This enables the construction of a subset of identification features that best characterize the PV devices. Subsequently, a sliding window two-sided cumulative sum (CUSUM) event detection algorithm, incorporating a time threshold, is proposed for the real-time capturing of PV state switching and grid connection behavioral events. This algorithm effectively filters out disturbances caused by the on/off cycles of low-power residential devices and captures the transient time windows of PV behaviors accurately. On this basis, a TCN model with attention mechanisms is proposed to match the discerned event features by assigning varying weights to different types of characteristics, thereby facilitating the precise recognition of a PV grid connection and state-switching events. Finally, the proposed method is validated on a custom-designed non-intrusive experimental platform, demonstrating its precision and real-time efficiency in practical applications. Full article
(This article belongs to the Special Issue Power Generation Systems for Green Sustainable Energy)
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21 pages, 14582 KiB  
Article
Transient Stability Analysis for Grid-Forming VSCs Based on Nonlinear Decoupling Method
by Yue Li, Yanghong Xia, Yini Ni, Yonggang Peng and Qifan Feng
Sustainability 2023, 15(15), 11981; https://doi.org/10.3390/su151511981 - 3 Aug 2023
Cited by 1 | Viewed by 835
Abstract
With the increasing integration of renewable energy into the power grid, there is a growing demand for converters that not only provide stable power, but also support auxiliary functions such as grid-voltage regulation. Consequently, grid-forming strategies have attracted significant attention. However, due to [...] Read more.
With the increasing integration of renewable energy into the power grid, there is a growing demand for converters that not only provide stable power, but also support auxiliary functions such as grid-voltage regulation. Consequently, grid-forming strategies have attracted significant attention. However, due to the complexities of analyzing nonlinear coupling systems, a comprehensive transient stability analysis of grid-forming converters is still being explored. Conventional analysis methods rely on a simplified quasi-steady-state model for grid-forming voltage source converters (VSCs) and focus on analyzing the transient instability phenomenon caused by the outer power loop. However, this oversimplified model may yield incorrect conclusions. To address this limitation, this paper develops a full-order model that includes quadratic nonlinear terms to accurately represent the system’s nonlinear characteristics. The developed model is then decoupled into multiple low-order modes using a nonlinear decoupling method. These low-order modes can be analyzed using the mature inversing trajectory method, indirectly reflecting the transient stability of grid-forming VSCs under large disturbances. Through varying the inner and outer parameters, the transient stability of grid-forming VSCs is analyzed in detail. Furthermore, the analysis results are verified through hardware-in-loop (HIL) experiments. Full article
(This article belongs to the Special Issue Power Generation Systems for Green Sustainable Energy)
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