Finite Control Set Model Predictive Control of Isolated DC/DC Modular Multilevel Converter
- Resource Type
- Conference
- Authors
- Akbar, Seema Mir; Hasan, Ammar; Watson, Alan; Wheeler, Pat; Odhano, Shafiq
- Source
- IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society Industrial Electronics Society (IECON), 2020 The 46th Annual Conference of the IEEE. :5282-5289 Oct, 2020
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Voltage control
HVDC transmission
Modulation
Capacitors
Bridge circuits
Mathematical model
Topology
Modular multilevel converter (MMC)
Finite control set model predictive control (FCS-MPC)
elevation factor
- Language
- ISSN
- 2577-1647
Isolated DC/DC modular multilevel converters (MMC) consisting of two MMCs isolated by a transformer are one of the converter topologies being considered used for DC/DC conversion in HVDC transmission. Two level modulation can be used to obtain different voltage levels by inserting/bypassing a specific number of sub-modules (SM) in the converter circuit. However, it does not take into account the SM’s voltage when elevation factors need to be readjusted, which results in either higher or lower output voltage than the reference. This paper proposes a finite control set model predictive control (FCS-MPC) for output voltage regulation to the reference value. A cost function comprising the output voltages is defined and a mathematical equation is formed to calculate the one step ahead value of output voltage. The number of SMs which minimize the cost function is applied to the converter circuit. Voltage balancing amongst the sub-module cells has been achieved by using a sorting algorithm. The performance of the proposed control strategy is evaluated and verified.