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Modeling and Optimization of Renewable Energy Technologies in Sustainable Energy...
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Modeling and Optimization of Renewable Energy Technologies in Sustainable Energy Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".

Deadline for manuscript submissions: closed (26 March 2024) | Viewed by 3335

Special Issue Editors

Dr. Yue Xia

E-Mail Website
Guest Editor
College of Information and Electrical Engineering, China Agricultural University, Beijing, China
Interests: power electronic systems; electrical machines; wind power; power system transients modeling; reinforcement learning
Dr. Juan Su

E-Mail Website
Guest Editor
College of Information and Electrical Engineering, China Agricultural University, Beijing, China
Interests: power demand-side management; energy systems control and operation; power market
Prof. Dr. Shaahin Filizadeh

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada
Interests: power systems; power electronics; modeling and simulation of power-electronic intensive networks

Special Issue Information

Dear Colleagues,

In order to reduce carbon emissions, power system rely heavily on increasing amounts of renewable energy resources and energy storages. Renewable energy resources have significantly changed the operation and control practices. Modeling and optimization of renewable energy technologies play an important role in achieving their optimal operation and integration within sustainable energy systems. By accurately representing the complex behavior and interactions of various components (e.g., renewable energy resources, energy storage systems, power grid, and loads) researchers and practicing engineers can better understand the performance, operation, and control of sustainable energy systems.

The aim of this Special Issue is to investigate the modeling and optimization of renewable energy technologies in sustainable energy systems. We invite researchers and experts from academia and industry to contribute their original research work, innovative methodologies, and case studies in this field to this special issue.

Topics of interest for publication include, but are not limited to:

  • Modeling and simulation of sustainable energy systems including real-time models;
  • Energy storage technologies and control of sustainable energy systems;
  • Demand response and management strategies for sustainable energy systems;
  • Sustainable energy systems control and operation;
  • Photovoltaic power and wind power generation forecasting.

Dr. Yue Xia
Dr. Juan Su
Prof. Dr. Shaahin Filizadeh
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

  • renewable energy
  • sustainable energy systems
  • energy storage
  • modeling and simulation
 

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Published Papers (2 papers)

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Research

17 pages, 4364 KiB  
Article
Modular Dynamic Phasor Modeling and Simulation of Renewable Integrated Power Systems
by Shirosh Peiris, Shaahin Filizadeh and Dharshana Muthumuni
Energies 2024, 17(11), 2480; https://doi.org/10.3390/en17112480 - 22 May 2024
Viewed by 1617
Abstract
This paper presents a dynamic-phasor-based, average-value modeling method for power systems with extensive converter-tied subsystems. In the proposed approach, the overall system model is constructed using modular functions, interfacing both conventional and converter-tied resources. Model validation is performed against detailed Electro-Magnetic Transient (EMT) [...] Read more.
This paper presents a dynamic-phasor-based, average-value modeling method for power systems with extensive converter-tied subsystems. In the proposed approach, the overall system model is constructed using modular functions, interfacing both conventional and converter-tied resources. Model validation is performed against detailed Electro-Magnetic Transient (EMT) simulations. The analytical capabilities offered by the proposed modeling method are demonstrated on a modified IEEE 9-bus system. A Graphics Processing Unit (GPU)-based parallel computing approach for the solution of the resulting model is presented and exemplified on a modified IEEE 118-bus system, showing significant improvements in computing efficiency over EMT solvers. A co-simulation approach using a Central Processing Unit (CPU) and a GPU is also presented and exemplified using a modified version of the IEEE 118-bus system, demonstrating the model’s parallelization. Full article
(This article belongs to the Special Issue Modeling and Optimization of Renewable Energy Technologies in Sustainable Energy Systems)
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19 pages, 3034 KiB  
Article
Optimized Dispatch of Regional Integrated Energy System Considering Wind Power Consumption in Low-Temperature Environment
by Liangkai Li, Jingguang Huang, Zhenxing Li and Hao Qi
Energies 2023, 16(23), 7791; https://doi.org/10.3390/en16237791 - 27 Nov 2023
Cited by 2 | Viewed by 1161
Abstract
The wind abandonment phenomenon of cogeneration units in regional integrated energy systems (RIES) under the operation mode of “heat for electricity” and the improvement in the operation efficiency of the energy storage system under a low-temperature environment are problems that need to be [...] Read more.
The wind abandonment phenomenon of cogeneration units in regional integrated energy systems (RIES) under the operation mode of “heat for electricity” and the improvement in the operation efficiency of the energy storage system under a low-temperature environment are problems that need to be solved urgently. To this end, a regional integrated energy system optimization scheduling method based on fine energy storage and wind power consumption is proposed in the paper. First, a fine energy storage model more adapted to a low-temperature environment is established on the power side to accurately simulate the actual working state of the energy storage components and quantify the uncertainty of the wind power output using the conditional value-at-risk (CVaR) theory. Then, a combined heat and power demand response mechanism is introduced on the load side to reduce the peak-to-valley difference in the heat and power loads, it is realized to promote the system’s consumption of wind power without increasing the transmission power of the contact line. Finally, the example is solved on the MATLAB platform with the objective of minimizing the total cost of the RIES optimal dispatch. The simulation results show that the proposed model is not only more adaptable to a low-temperature environment compared with the traditional model but also reduces the overall cost of the system by 2.58% while realizing the complete consumption of wind power. This innovative study provides a feasible and efficient solution to improve the performance of integrated energy systems, especially the operation capability in extreme environments. Full article
(This article belongs to the Special Issue Modeling and Optimization of Renewable Energy Technologies in Sustainable Energy Systems)
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