Optimal Design, Control, and Identification of Energy Conversion Systems
1Universidad Autónoma Metropolitana, Mexico City, Mexico
2Universidad Nacional Autonoma de Mexico, Mexico City, Mexico
3Universidad Panamericana, Zapopan, Mexico
4Western Michigan University, Kalamazoo, USA
Optimal Design, Control, and Identification of Energy Conversion Systems
Description
It is well known that high-efficiency robust control and optimal design for a wide range of applications of modern energy conversion systems represent open and challenging research issues. The synthesis of robust control schemes where high-performance indicators are demanded should consider the suppression of uncertainties. New online system identification methods can be designed to estimate unknown parameters. Another pertinent research subject is the development of effective online estimation techniques for a wide variety of disturbances for diverse complex energy conversion systems. Opportune information of disturbances and system parameters can be used for robust control, implementation, fault detection, and diagnosis. Additional topics of interest include the application of innovative power electronics technologies for the implementation of advanced controllers and identification techniques, as well as the development of multiple-pulse converters topologies to reduce undesirable harmonic distortion of voltage and current waveforms.
On the other hand, the exponential increase in the use of power electronic components in modern energy conversion systems has created several interrelated design challenges, such as dielectric, mechanical, and thermal stresses, harmonic content, and eddy current losses, due to the fast and repetitive pulses from modern high-power converters operating at very high switching frequencies. The use of design optimization tools can maximize efficiency while reducing the manufacturing and operating costs of such systems, resulting in highly efficient, lightweight, and cost-effective designs. However, this is a complex multiobjective and multiphysics problem that involves a large computational burden. Therefore, the development of computationally efficient mathematical and numerical tools for optimal design is still an open and challenging topic.
This Special Issue aims to introduce recent significant results on modelling, optimal design, system identification, estimation of parameters, harmonics and disturbances, robust control, and fault detection and diagnosis for diverse energy conversion systems as well as their integration with emerging energy technologies. In this context, novel studies related (but not limited) to wind energy, solar, chemical, electromechanical, electromagnetic energy conversion systems, including their components, and other control applications of electric power systems and industrial applications are welcome. Original research and review articles are welcome.
Potential topics include but are not limited to the following:
- Optimal electromagnetic design
- Transformers, including power, distribution and power electronic applications
- Novel materials (e.g., magnetic, conductive, or dielectric materials) for the design of modern energy conversion systems
- Innovative high-performance computing (HPC) tools for modeling, simulation, and design of conversion systems
- Renewable energy conversion systems
- Electric machinery
- Harmonic distortion
- Power converters
- PMU/WAMS for protection and control of modern power systems
- Battery energy storage systems for improving power system performance