TOPSIS-optimized leg-by-leg model predictive control for four-leg DSTATCOM

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Abstract
This paper discusses leg-by-leg-based model predictive control (MPC) for a four-leg distribution static compensator (FL-DSTATCOM), to address current-related power quality issues. In conventional MPC, increasing the number of phases significantly raises computational complexity, as the number of switching states grows exponentially. The proposed method applies MPC independently to each leg, reducing complexity while improving steady-state performance. An LC filter is incorporated to reduce switching stress and DC-link voltage requirements, resulting in a reduction of DC-link voltage from 1,000 V to 700 V. The switching frequency is included in the cost function, and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is employed to simplify the selection of weighting factors. As a result, the switching frequency is decreased to 14 kHz while maintaining the total harmonic distortion (THD) at 3.4 %. The effectiveness and improved performance of the proposed control strategy are validated through both simulation and experimental investigations.
Funding Information
  • Science and Engineering Research Board (SERB), Department of Science and Technology, India (CRG/2023/003280)

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