Frilled Lizard Optimization Control Strategy of Dynamic Voltage Restorer-Based Power Quality Enhancement

C. Pearline Kamalini () and M. V. Suganyadevi
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C. Pearline Kamalini: Department of Electrical and Electronics Engineering, Saranathan College of Engineering, Tiruchirapalli 620012, India
M. V. Suganyadevi: Department of Electrical and Electronics Engineering, Saranathan College of Engineering, Tiruchirapalli 620012, India

Sustainability, 2025, vol. 17, issue 19, 1-13

Abstract: In the current energy landscape, power quality (PQ) emerges as a critical concern. Even when there is no fault on a line, PQ issues are common in all power networks since 90% of power systems’ loads are variable or inductive in nature. Variable loads cannot be avoided; hence, PQ concerns such as voltage swelling and sag will always arise. Voltage sag is one of the main issues within a distribution network, resulting in financial losses for the utility company and the customer. The Dynamic Voltage Restorer (DVR) effectively addresses voltage sags and minimizes total harmonic distortion (THD) in the distribution network. This paper proposed a novel control strategy to increase the PQ in a system. A Frilled Lizard Optimization-optimized fuzzy PI controller is proposed in this work to control the inverter. This proposed method improves the DVR’s ability to correct voltage sag and reduce total harmonic distortion as soon as possible. The PI control scheme is utilized initially to reduce the oscillations and remove the steady-state error. To increase the tendency rate of the error to zero, the PI method is applied to a fuzzy logic-based compensatory stage. The proposed approach is validated using pro-type models, as well as mathematical and Simulink modelling. In the Results Section, the performance of the proposed controllers with the DVR is tabulated and compared with other DVR controller schemes described in other research papers.

Keywords: VSI; voltage sag; DVR; PI controller; fuzzy; controller; THD (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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