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A heuristic approach for insertion of multiple-complex coefficient-filter based DSTATCOM to enhancement of power quality in distribution system

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Abstract

The advent of non-linear systems has resulted in several power quality challenges, including harmonics, power losses, and voltage swings. To solve these issues, flexible alternating current transmission system components are employed; a distribution static compensator is a key compensatory component of this system. However, under some circumstances, the conventional techniques for deploying distribution static compensators might not always work as well as they should. To address this, a multiple-complex coefficient filter-based optimal design and implementation of a distributed static compensator is suggested. For effective reduction of power losses and improvement of voltage profiles in the distribution system, the suggested solution seeks to position the distribution static compensator effectively. The distribution static compensator is positioned as efficiently as possible using the prairie dog optimization technique, guaranteeing higher power quality. The performance is tested and validated using the MATLAB platform with the IEEE 34 bus test system. With the IEEE 34 bus system under fault conditions with a distribution static compensator, the active power loss is measured at 111.25 kW. The reactive power loss during the distribution static compensator fault is recorded at 80.466 kVAR.

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Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.

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Authors and Affiliations

  1. Electrical Engineering Department, Jamia Millia Islamia, New Delhi, India

    Rajesh Kumar, Haroon Ashfaq, Rajveer Singh & Rajeev Kumar

  2. Electrical and Electronics Engineering Department, KIET Group of Institutions, Ghaziabad, India

    Rajeev Kumar

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Kumar, R., Ashfaq, H., Singh, R. et al. A heuristic approach for insertion of multiple-complex coefficient-filter based DSTATCOM to enhancement of power quality in distribution system. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-19778-5

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