Structural Evolution and Key Supporting Technologies of Power Systems with an Ultra-High Proportion of Renewable Energy Integration
This special issue belongs to the section "F: Engineering and Materials".
Special Issue Information
Dear Colleagues,
In response to global challenges such as climate change, the Paris Agreement has established the target of limiting the global average temperature rise to within 2 °C by the end of the 21st century. To achieve this goal, the integration of renewable energy has been significantly accelerated, and some regions have already developed power systems with an extremely high, or even 100%, proportion of renewable energy integration. This transformation has led to profound changes in the composition, operational characteristics, and stability mechanisms of power systems. Ensuring power symmetry and balance in these new-type power systems poses substantial challenges, demanding enhanced capabilities in perception, cognition, and decision-making. Therefore, it is necessary to explore the structural evolution and key supporting technologies of power systems with an ultra-high proportion of renewable energy integration, aiming for security and stability as the foundation, and targeting economy and low-carbon performance, so as to achieve a symmetry among security, economy, and low-carbon performance.
This Special Issue invites researchers to submit original research articles and comprehensive reviews on topics related to structural evolution and key supporting technologies of power systems with an ultra-high proportion of renewable energy integration. Applied case studies are particularly encouraged. Areas of interest include, but are not limited to, the following:
- Symmetry and balance of active power in new-type power systems;
- Symmetry and balance of reactive power in new-type power systems;
- Symmetry in power electronic devices;
- Analysis of symmetrical and asymmetrical disturbances;
- Control strategies for symmetrical and asymmetrical disturbances;
- Symmetry in power system planning;
- Symmetry in power system operation;
- Symmetry in electricity markets;
- Symmetry among security, economy, and low-carbon performance in power systems;
- Evolution of symmetry in power systems;
- Analysis and processing methods for symmetrical and asymmetrical signals.
Dr. Yongji Cao
Dr. Runjia Sun
Dr. Yichen Shen
Dr. Xiaoning Zhang
Dr. Pengda Wang
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 250 words) can be sent to the Editorial Office for assessment.
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly 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
- power systems
- power electronics
- symmetry
- smart grid
- renewable energies
- energy storage
- carbon emission
- artificial intelligence technology
- power system stability
- power system planning
- signal processing
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