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Special Issue "Optimal Control of Fuel Cells and Wind Turbines"
Deadline for manuscript submissions: 30 November 2019.
Fuel cells and wind turbines, as clean electric energy generators that do not pollute the environment, are used in industrial and domestic applications. Numerous dynamic processes in fuel cells and wind turbines create many challenging opportunities for control engineers, including the design of optimal controllers. Proton exchange membrane fuel cells (PEMFC) are the best understood and most developed fuel cells. Some modern electric cars are powered by PEMFC. Optimal control can be used for PEMFC to kept the pressures of hydrogen and oxygen pressures as close as possible in order to protect membrane degradation. Optimal controllers can be found in electric vehicles powered by PEMFC. Optimal controllers can be designed for PEMFF for optimal trajectory tracking, and optimal robust (H-infinity) control. In the case of solid-oxide fuel cells (SOFC), which in addition to electric energy provide a lot of heat and are also utilized for heating, optimal controllers can be designed for load tracking of grid-connected SOFC, optimal robust control to maintain safe operations with maximum efficiency under load and uncertainty variations, optimal fault-tolerant control, and optimal temperature control. In general, optimal controllers are needed for power management and power flow control in hybrid fuel cell/solar/wind/battery/ultra-capacitor systems. Optimal controllers can be also designed for other types of fuel cells, for example, optimal control for load changes in molten carbonate fuel cells and optimal control for methanol fuel cells to maintain optimal methanol concentration.
Optimal controllers for wind turbines can be designed for rotor control, pitch control, vibration control, optimal transient response, torque control, optimal power extraction, optimal energy management, fault-tolerant control, variable speed control, optimal power sharing control, robust (H-infinity) control, maximum power tracking, and other aspects of wind turbine dynamics and operations. These controllers can be designed either for individual wind turbines or for wind farms. Optimal controllers can be also used for hybrid wind/solar/battery/fuel cell systems. Since wind turbines have mechanical, electrical, and electronic components, their dynamics evolve in several time scales. The design of optimal multi-time scale controllers for wind turbines is a research area that has not been fully explored yet. Both deterministic and stochastic controllers are suitable for optimal control of wind turbine dynamics and operations.
Prof. Dr. Zoran Gajic
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 papers will be 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 1800 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.
- fuel cells
- wind turbines
- electric power management
- deterministic and stochastic optimal controllers
- optimal robust and fault-tolerant controllers
- optimal multi-time scale controllers