Predictive optimal switching vector controller based microgrid enabling switching frequency constraint

Srinivas, Vedantham Lakshmi ORCID: https://orcid.org/0000-0002-6376-8602, Singh, Bhim and Mishra, Sukumar 2019. Predictive optimal switching vector controller based microgrid enabling switching frequency constraint. Presented at: 2018 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), Chennai, India, 18-21 December 2018. 2018 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES). IEEE, pp. 1-6. 10.1109/PEDES.2018.8707899

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Abstract

This study proposes predictive optimal switching vector controller to generate optimal switching sequences to voltage-controlled inverters in islanded microgrid systems. The conventional pulse width modulation controllers use output voltage and current with inner and outer current loops, thereby demanding the PI (Proportional Integral) regulators and PWM modulators. They are associated with finite dynamic response transient time by PI controllers and necessitate rigorous tuning for practical implementation purposes. To complement this problem, voltage and current predictive optimal switching vector control is proposed here, which completely eliminates the PID regulators, PWM modulators and synchronous co-ordinate transformations. It uses the model of the system to predict behavior of output voltages for each sampling instant. A minimization function is then used to select the switching state for the next inverter switching instant, while limiting the over-currents caused in the inverter. A switching frequency constraint is proposed to reduce the switching losses of the inverter. The proposed control strategy is verified through simulations and is experimentally validated on a prototype of microgrid system built in the laboratory.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Engineering
Publisher:	IEEE
ISBN:	9781538693162
Last Modified:	09 Nov 2022 10:39
URI:	https://orca.cardiff.ac.uk/id/eprint/140242

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