Predictive Control: A Modernized Control Approach for High Performance Electrical Energy Systems (Theory and Practice)
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".
Deadline for manuscript submissions: closed (20 March 2024) | Viewed by 6846
Special Issue Editors
2. Department of Industrial Engineering, University of Padova, Via Gradenigo 6/a, 35131 Padova, Italy
Interests: control theory; model predictive control; adaptive control; elecrtric drives; power electronics; power management; integration of renewable energy sources; optimization
Interests: smart grids; energy management; power systems; demand response
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The need for new effective control approaches as alternatives to the classic control techniques is receiving a great deal of interest from the research community. One of the most promising control approaches is predictive control (PC), which has been extensively used in industrial applications (mainly chemical industries). The orientation of the PC approach towards electrical energy systems (i.e., power systems and machine drives) has seen a dramatic increase over the last two decades. The main features which distinguish PC from the traditional techniques are the simplicity of control configuration, the ability to handle system nonlinearity without incorporating modulators or linear controllers (i.e., PI controllers), and the ability to handle several control objectives at the same time. All of these merits motivate us as researchers to deepen the knowledge of this promising approach—analyzing its operation, modifying its configuration, and testing its performance for different applications. This Special Issue will publish original manuscripts presenting recent advances in the predictive control of electrical energy systems, with a special focus on topics including but not limited to the following:
- The application of predictive control to electrical power systems (i.e., frequency control, reliability, power quality).
- Utilization of predictive control to manage the operation of utility-scale converters (HVDC, solid-state transformers, FACTS, etc.).
- Utilization of predictive control in the integration process of renewable energy systems to utility grids.
- Application of predictive control in microgrids (AC, DC and hybrid).
- Predictive control for smart grids.
- Predictive control in autonomous systems.
- The application of predictive control to variable-speed electric machine drives and power electronic converters (e.g., DC/AC and multi-phase AC/AC converters).
- Novel formulations of predictive control for rotating machine drives (three-phase and multi-phase) and linear machine drives.
- Design of fault-tolerant predictive control algorithms for autonomous driving vehicles.
- Designing of predictive control algorithms for the post-fault operation of electric machine drives.
- Design and implementation challenges for predictive control: computation time, cost function formulation, weighting factor selection, parameter variation, delay compensation, variable switching frequency, etc.
- The application of predictive control in industrial applications such as electric vehicles, more electric aircrafts, naval ships, etc.
Dr. Mahmoud A. Mossa
Prof. Dr. Pierluigi Siano
Guest Editors
Manuscript Submission Information
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Keywords
- power system control
- predictive control algorithms
- autonomous systems
- smart grid control
- electric drives
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