Advanced Control in Microgrid Systems II
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".
Deadline for manuscript submissions: closed (20 June 2024) | Viewed by 12115
Special Issue Editor
Interests: robot navigation; deployment of drones; unmanned aerial vehicles; control of wireless communication networks; control of power systems; robust control and filtering; hybrid dynamical systems; control engineering; biomedical engineering
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Special Issue Information
Dear Colleagues,
We are inviting submissions to a Special Issue of Energies on the subject area of “Advanced Control in Microgrid Systems II”. With the increasing integration of renewable energy and the development of a smart grid, the topic of microgrids has attracted a lot of attention in recent years.
Microgrids are distributed electric power systems that autonomously coordinate power generations and demands. Modern microgrids often include renewable energy generations, such as wind and solar, supported by distributed energy storage systems. The distributed nature of microgrids and the uncertain, intermittent nature of power demands and renewable energy generations pose significant challenges in the operation of microgrids. Advanced methods of modern control play an important role in achieving a reliable, robust, secure, and cost-effective functioning of microgrid systems. Researchers and engineers worldwide are working together to develop novel and efficient tools of control in microgrids. This Special Issue is focused on new developments in the field of advanced control in microgrid systems.
Potential topics include but are not limited to the following:
- Model predictive control of microgrid systems;
- Robust control of microgrid systems;
- Optimization of microgrids;
- Control of battery energy storage systems;
- Sliding mode control of microgrid systems;
- Multiagent systems approach to control of microgrids;
- Advanced control systems for market-oriented energy storage dispatch;
- Control of microgrid systems with high penetrations of wind power;
- Control of microgrid systems with high penetrations of solar power;
- Optimization and control of microgrid systems with thermostatically controlled loads;
- Minimizing the energy cost for microgrid systems;
- Control of microgrid systems with communication delays.
Prof. Dr. Andrey V. Savkin
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. 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
- microgrids
- energy storage systems
- modern control
- robust control
- sliding mode control
- optimization of microgrids
- renewable generation
- wind energy
- solar energy
- nonlinear control
- optimal control
- smart grid
- microgrids with thermostatically controlled loads
- market-oriented energy storage dispatch
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