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ARPN Journal of Engineering and Applied Sciences

Integration of DSTATCOM and high gain two stage boost converter with energy management for PQ improvement

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Author P. K. Dhal, Bhavitabya Dhal, S. Hussain Vali, S. Radha Krishna, A. Naresh and Vempalle Rafi
e-ISSN 1819-6608
On Pages 741-750
Volume No. 21
Issue No. 11
Issue Date August 10, 2026
DOI https://doi.org/10.59018/062679
Keywords DSTATCOM, power quality, POA, ANN, supercapacitor, hysteresis PWM control.


Abstract

Ensuring power quality in modern electrical networks is crucial for maintaining stability and efficiency, especially when dealing with voltage fluctuations, harmonics, and reactive power imbalances. Traditional methods often fall short under dynamic and non-linear load conditions, prompting the need for an advanced solution. This research presents an integrated Distribution Static Compensator (DSTATCOM) based system for Power Quality (PQ) enhancement, supported by a Photovoltaic (PV) system connected through High Gain Two Stage Boost (HGTSB) Converter to increase DC-link voltage. The PV system utilizes a Parrot Optimization Algorithm (POA) based Artificial Neural Network (ANN) MPPT for optimal energy harvesting. A hysteresis current-controlled PWM generator manages DSTATCOM switching, while dq0-abc transformation with PI controllers ensures accurate reactive power compensation and load balancing. A supercapacitor further enhances reliability by storing excess PV energy and maintaining voltage during low generation periods. The proposed system is developed and evaluated with MATLAB/Simulink, achieving 97% efficiency, unity power factor, and reduced harmonics in grid connected environments.

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