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Renewable Energy Systems and Sustainable Power Systems
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Renewable Energy Systems and Sustainable Power Systems

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

Deadline for manuscript submissions: closed (12 August 2023) | Viewed by 8106

Special Issue Editor

Dr. Xichen Jiang

E-Mail Website
Guest Editor
Engineering and Design Department, Western Washington University, Bellingham, WA 98225, USA
Interests: power system reliability; fault detection; event detection; real-time power system health monitoring; renewable energy integration
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

It is our pleasure to announce a new Special Issue of the journal Sustainability titled “Renewable Energy Systems and Sustainable Power Systems”.

In face of the global electricity consumption projected to increase by 50% between now and 2050, many countries have pledged carbon neutrality by the same time. In order to achieve such ambitious goals, the power system must undergo sweeping technological advancements. Many of these advances in technology, operation, and control have already been or are being implemented. The integration of renewable energy resources along with advancements in communication and control algorithms have made the grid more efficient and sustainable. More recently, the rapid deployment of distributed energy resources at both the distribution and transmission is transforming the grid from a centralized system to one that is decentralized and operated closer to its margins. At the same time, these changes bring about new sets of challenges in security, reliability, sustainability, and scalability for the power system.

This Special Issue aims to present current research and innovations in dealing with the challenges of renewable energy integration into the existing power grid that will transform the current grid towards greater efficiency and resiliency. Focus will be placed on novel strategies for maintaining power system reliability, flexibility, and security, including data-driven algorithms and emerging technologies. Both theoretical and practical research papers on these topics are welcome.

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

  • Renewable energy integration;
  • Power system monitoring and control;
  • Power system reliability;
  • Smart grid technologies;
  • Data-driven approaches for power system operation.

Dr. Xichen Jiang
Guest Editor

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

  • distributed energy resources
  • power system operation
  • reliability
  • integration
  • optimization
  • sustainable energy

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

Published Papers (3 papers)

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Research

13 pages, 3772 KiB  
Article
A Short-Term Wind Power Forecasting Model Based on 3D Convolutional Neural Network–Gated Recurrent Unit
by Xiaoshuang Huang, Yinbao Zhang, Jianzhong Liu, Xinjia Zhang and Sicong Liu
Sustainability 2023, 15(19), 14171; https://doi.org/10.3390/su151914171 - 25 Sep 2023
Cited by 7 | Viewed by 2129
Abstract
Enhancing the accuracy of short-term wind power forecasting can be effectively achieved by considering the spatial–temporal correlation among neighboring wind turbines. In this study, we propose a short-term wind power forecasting model based on 3D CNN-GRU. First, the wind power data and meteorological [...] Read more.
Enhancing the accuracy of short-term wind power forecasting can be effectively achieved by considering the spatial–temporal correlation among neighboring wind turbines. In this study, we propose a short-term wind power forecasting model based on 3D CNN-GRU. First, the wind power data and meteorological data of 24 surrounding turbines around the target turbine are reconstructed into a three-dimensional matrix and inputted into the 3D CNN and GRU encoders to extract their spatial–temporal features. Then, the power predictions for different forecasting horizons are outputted through the GRU decoder and fully connected layers. Finally, experimental results on the SDWPT datasets show that our proposed model significantly improves the prediction accuracy compared to BPNN, GRU, and 1D CNN-GRU models. The results show that the 3D CNN-GRU model performs optimally. For a forecasting horizon of 10 min, the average reductions in RMSE and MAE on the validation set are about 10% and 11%, respectively, with an average improvement of about 1% in R. For a forecasting horizon of 120 min, the average reductions in RMSE and MAE on the validation set are about 6% and 8%, respectively, with an average improvement of about 14% in R. Full article
(This article belongs to the Special Issue Renewable Energy Systems and Sustainable Power Systems)
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18 pages, 700 KiB  
Article
Grid-Following Inverter-Based Resource: Numerical State–Space Modeling
by Abdullah Alassaf, Ibrahim Alsaleh, Ayoob Alateeq and Hamoud Alafnan
Sustainability 2023, 15(10), 8400; https://doi.org/10.3390/su15108400 - 22 May 2023
Cited by 3 | Viewed by 3269
Abstract
In the pursuit of a sustainable electric power system, the integration of renewable energy sources and distributed energy resources is gradually replacing traditional power generation. These new resources are integrated into the grid via inverters, which, despite their efficient performance, present dynamic challenges [...] Read more.
In the pursuit of a sustainable electric power system, the integration of renewable energy sources and distributed energy resources is gradually replacing traditional power generation. These new resources are integrated into the grid via inverters, which, despite their efficient performance, present dynamic challenges to the power grid when implemented on a large scale. To maintain grid stability and ensure effective regulation during abnormal operations, various modeling techniques are necessary; while the dynamics of inverter-based resources (IBRs) are traditionally modeled by transfer functions, this paper sheds light on differential-algebraic equations (DAEs) modeling and numerical integration methods. The inherent limitations of transfer function modeling stem from its restricted applicability, as it is exclusively suitable for linear and time-invariant systems. In contrast, the nonlinear DAEs of the IBR system can be converted into a state–space form, which offers a versatile framework for modeling, evaluating, and designing a diverse array of systems. In addition to being compatible with time-varying systems and multiple-input multiple-output systems, the state–space technique may incorporate saturation and dead zone characteristics into the dynamic model. Our research focuses on IBR modeling in a grid-following scheme, which is current-controlled and synchronized to the grid by a phase-locked loop (PLL). The presented state–space model consists of the inverter, grid, control, and designed PLL. Beyond the discussion of its application to IBRs, the presented method holds the potential to solve a wide range of DAEs. The proposed model is compared with a benchmarked system. Full article
(This article belongs to the Special Issue Renewable Energy Systems and Sustainable Power Systems)
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13 pages, 3262 KiB  
Article
A Local Control Strategy for Voltage Fluctuation Suppression in a Flexible Interconnected Distribution Station Area Based on Soft Open Point
by Zhichun Yang, Fan Yang, Huaidong Min, Yu Shen, Xu Tang, Yun Hong and Liang Qin
Sustainability 2023, 15(5), 4424; https://doi.org/10.3390/su15054424 - 1 Mar 2023
Cited by 8 | Viewed by 1806
Abstract
Fluctuations in the output power of a high penetration distributed generation (DG) will result in severe voltage fluctuations/violations in the power distribution station area (DSA). This paper proposes the use of Soft Open Point (SOP) for DSA interconnection to alleviate voltage violations and [...] Read more.
Fluctuations in the output power of a high penetration distributed generation (DG) will result in severe voltage fluctuations/violations in the power distribution station area (DSA). This paper proposes the use of Soft Open Point (SOP) for DSA interconnection to alleviate voltage violations and frequent fluctuations. Firstly, the typical topology of a flexible interconnected DSA is introduced, and then the correlation between active/reactive power fluctuations and voltage fluctuations in DSA is analyzed, according to which a local control strategy is proposed to achieve voltage control by relying only on the local electrical information of the nodes connected to the SOP. Finally, the effectiveness of the proposed control strategy is verified by simulation case. The simulation results show that the voltage fluctuation caused by the DG output power fluctuation can be suppressed within tens of milliseconds through the control strategy. This strategy greatly reduces the communication burden and has good real-time performance. It can be used as an SOP control strategy under conditions of communication failure or to realize a plug-and-play SOP, which has significant engineering importance for solving the voltage violations and frequent fluctuations in DSA and improving the consumption capacity of DGs. Full article
(This article belongs to the Special Issue Renewable Energy Systems and Sustainable Power Systems)
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