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Future Trends of Sustainable Electricity Supply and Power System Decarbonization

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

Deadline for manuscript submissions: 26 October 2024 | Viewed by 3506

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Special Issue Editors

Dr. Xiaoyu Cao

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Guest Editor

School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Interests: planning and operation of sustainable power and energy systems
Special Issues, Collections and Topics in MDPI journals

Dr. Lun Yang

E-Mail Website
Guest Editor

School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Interests: low-carbon energy systems operations and renewable energy integration

Special Issue Information

Dear Colleagues,

Driven by concerns about energy sustainability and climate change, the electricity supply in worldwide power systems is transitioning in a low-carbon sustainable manner with the rapid integration of renewable energy sources (RES), e.g., wind and solar. Concurrently, several emerging technologies, e.g., multi-energy synergy (electricity, gas, heat, cooling, hydrogen, etc.), flexible transmission technology, demand response and energy storage would help improve RES generation and strongly support the transition toward a sustainable and low-carbon electrical supply. However, because of the inherent uncertainties associated with RES and the extensive applications of advanced power energy technologies, how to plan, operate, and manage renewable-based power systems, interacting with other energy systems (gas, heat, cooling, hydrogen, etc.), has become a great challenge to both academia and industry. It calls for significant research on data analytics, decision models, algorithm development and mechanism design in different power-related procedures, e.g., planning, operations, evaluation and marketing, via the use of multi-disciplinary methods in engineering, operations research, economics and policy analysis.

This Special Issue aims to cover technical and economic issues arising from the future trends of sustainable electricity supply and power system decarbonization. Furthermore, it aims to showcase the latest research achievement and development of modeling, algorithms, and mechanisms for the planning, operations, evaluation, and marketing of renewable-based and low-carbon power systems. In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

Evolution path analysis for sustainable electricity supply transition
Advanced transmission and storage technologies for sustainable electricity supply transition
Emerging decarbonization techniques for coal-fired power plants
Multi-energy synergy facilitating the sustainable electricity supply transition
Optimal operation and planning for renewable-based power systems
Reliability and resilience for renewable-based power systems
Demand response management for renewable-based power systems
Market design for renewable-based power systems
Data analytics and machine learning for renewable-based power systems
Modeling of carbon emission flow and carbon-power coordination
Low-carbon (zero-carbon) microgrids and distributed energy generation

We look forward to receiving your contributions.

Dr. Xiaoyu Cao
Dr. Lun Yang
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

sustainable electricity supply
carbon-power coordination
renewable energy sources
power system planning
power system operation
power system resilience
energy market
multi-energy synergy
data analytics and machine learning

Published Papers (3 papers)

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Research

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18 pages, 3251 KiB

Open AccessArticle

Edge–Cloud Collaborative Optimization Scheduling of an Industrial Park Integrated Energy System

by Gengshun Liu, Xinfu Song, Chaoshan Xin, Tianbao Liang, Yang Li and Kun Liu

Sustainability 2024, 16(5), 1908; https://doi.org/10.3390/su16051908 - 26 Feb 2024

Viewed by 584

Abstract

Due to the large proportion of China’s energy consumption used by industry, in response to the national strategic goal of “carbon peak and carbon neutrality” put forward by the Chinese government, it is urgent to improve energy efficiency in the industrial field. This paper focuses on the optimization of an integrated energy system with supply–demand coordination in an industrial park. This optimization is formulated as a “node-flow” model. Within the model, each node is designed according to the objective function of its own operation and the energy coupling relationship. The flow model is designed based on the energy flow interaction relationship between each node. Based on the “node-flow” model, an edge–cloud information interaction mechanism based on energy transfer balance between nodes is proposed to describe the way the system interacts with information, and a distributed iterative optimization algorithm based on edge–cloud collaboration is designed to realize the optimization decision of each node. The performance of the method proposed in this paper is demonstrated using a practical case study of an industrial park integrated energy system in Xinjiang. The results show that the proposed model can effectively improve the utilization efficiency of multi-energy synergy and complementation in the industrial park, and the proposed algorithm can shorten the solution time by more than 50% without significantly affecting the accuracy of the solution. Full article

(This article belongs to the Special Issue Future Trends of Sustainable Electricity Supply and Power System Decarbonization)

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21 pages, 4199 KiB

Open AccessArticle

Robust Optimization of Large-Scale Wind–Solar Storage Renewable Energy Systems Considering Hybrid Storage Multi-Energy Synergy

by Bin Xiao, Zhenxin Gao, Huaiwu Peng, Kang Chen, Yang Li and Kun Liu

Sustainability 2024, 16(1), 243; https://doi.org/10.3390/su16010243 - 27 Dec 2023

Cited by 1 | Viewed by 861

Abstract

With the rapid integration of renewable energy sources, such as wind and solar, multiple types of energy storage technologies have been widely used to improve renewable energy generation and promote the development of sustainable energy systems. Energy storage can provide fast response and regulation capabilities, but multiple types of energy storage involve different energy conversion relationships. How to fully utilize the advantages of multiple energy storage and coordinate the multi-energy complementarity of multiple energy storage is the key to maintaining a stable operation of the power system. To this end, this paper proposes a robust optimization method for large-scale wind–solar storage systems considering hybrid storage multi-energy synergy. Firstly, the robust operation model of large-scale wind–solar storage systems considering hybrid energy storage is built. Secondly, the column constraint generation (CCG) algorithm is adopted to transform the original problem into a two-stage master problem and sub-problem for solving to obtain the optimal strategy of system operation with robustness. Finally, the validity of the proposed method is verified through case tests. The results show that the proposed method can effectively coordinate the multi-energy complementary and coordinated operation of multiple hybrid energy storage, and the obtained operation strategy of large-scale wind–solar storage systems can well balance the economy and robustness of the system. Full article

(This article belongs to the Special Issue Future Trends of Sustainable Electricity Supply and Power System Decarbonization)

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Review

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33 pages, 3763 KiB

Open AccessReview

Sustainable Electrification—Advances and Challenges in Electrical-Distribution Networks: A Review

by Jimmy Gallegos, Paul Arévalo, Christian Montaleza and Francisco Jurado

Sustainability 2024, 16(2), 698; https://doi.org/10.3390/su16020698 - 12 Jan 2024

Cited by 3 | Viewed by 1439

Abstract

This paper provides a thorough exploration of the evolution and contemporary trends in electrical-distribution networks, with a focus on smart grids in the context of Industry 4.0. Beginning with the traditional components of electrical grids, the study highlights the transition towards sustainable energy sources and the integration of renewables. Key trends include economic operation, the application of distributed energy resources, and the significance of photovoltaic solar energy. The paper unfolds in seven sections, examining smart-electrical-network architecture, sustainable technology progression, energy efficiency, carbon-emission-reduction challenges, future perspectives, and concluding insights. Each section delves into specific layers and aspects, such as data management, electrical infrastructure, automation, and consumer interaction. The intricate role of smart meters and their impact on energy management is explored, providing a comprehensive overview of the current state and future directions of electrical-distribution networks. Full article

(This article belongs to the Special Issue Future Trends of Sustainable Electricity Supply and Power System Decarbonization)

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