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Energy Storage-Driven Virtual Power Plants: Key Enablers, Operations, and Policy Landscapes in Future Power Systems
This special issue belongs to the section “Automation in Energy Systems“.
Special Issue Information
Dear Colleagues,
The massive uptake of renewable energy sources helps reduce carbon emissions. However, with the continuous increase in the penetration rate of new energy resources, conventional units, as the main flexibility regulation resources in power grids, are gradually being phased out, resulting in an inability to guarantee secure operations and market functionality in power systems. Flexible regulatory resources, including energy storage and virtual power plants, can play an important role in power grid operations, helping ensure secure, cost-effective, and sustainable power system operations. This Special Issue aims to attract original research for key technologies related to the participation of flexible resources, such as energy storage and virtual power plants, in the operations and regulation of power systems, as well as novel energy market policies and commercial mechanisms, to promote the full utilization of flexible regulation resources and solve theoretical and practical problems for flexible resources in power systems.
This Special Issue welcomes original research on the topics, which include but are not limited to the following areas:
- Planning, dispatch, and control for flexible resources participating in power system operations.
- Business models and trading mechanisms of flexible resources in power systems.
- Aggregation, trading, and control strategies for distributed flexible resources.
- Collaborative control of the main-distribution network to support the flexible role of distributed resources.
- Analysis and optimization of control mechanisms for frequency security and stability in power systems.
- Classification and design of load forecasting application scenarios under the influence of multiple factors.
- Coordination optimization and control of multiple resources, including conventional power sources, emerging renewable energy sources, and flexible resources.
Dr. Mingze Zhang
Prof. Dr. Yang Li
Dr. Samson Yu
Dr. Chao Long
Dr. Saman A. Gorji
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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Automation is an international peer-reviewed open access quarterly 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 1200 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
- planning, dispatch, and control for flexible resources participating in power system operations. business models and trading mechanisms of flexible resources in power systems
- aggregation, trading, and control strategies for distributed flexible resources. collaborative control of the main-distribution network to support the flexible role of distributed resources
- analysis and optimization of control mechanisms for frequency security and stability in power systems
- classification and design of load forecasting application scenarios under the influence of multiple factors
- coordination optimization and control of multiple resources, including conventional power sources, emerging renewable energy sources, and flexible resources
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