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Original scientific article

LEXICOGRAPHIC BI-OBJECTIVE OPTIMIZATION FOR FRACTIONAL ORDER CONTROLLER TUNING IN GRID-CONNECTED STATCOM APPLICATIONS

By
Rafid Ali Ridha Ibrahim Orcid logo ,
Rafid Ali Ridha Ibrahim
Contact Rafid Ali Ridha Ibrahim

Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, Malaysia; Department of Electrical, Faculty of Engineering, Kirkuk University, Kirkuk, Iraq.

Anuar Mikdad Muad Orcid logo ,
Anuar Mikdad Muad

Associate Professor, Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia Malaysia

Yushaizad Yusof Orcid logo
Yushaizad Yusof

Senior Lecturer, Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia Malaysia

Abstract

Static Synchronous Compensators (STATCOMs) require precise controller tuning to maintain voltage stability in modern power grids. Fractional Order Proportional-Integral (FOPI) controllers offer enhanced flexibility over integer-order designs, yet existing tuning methods rely on weighted-sum formulations that conflate conflicting objectives through arbitrary weight selection, overlooking the inherent priority structure of power system stability requirements. This paper proposes a lexicographic bi-objective optimization framework that enforces strict priority ordering without weight selection, implemented through two formulations: a Lexicographic ITAE approach evaluated across five meta-heuristic algorithms with hard penalty constraints, and a Lexicographic PSO approach employing a dual-criteria ranking mechanism with a normalized sacrifice metric. Both were verified using an 11 kV cascaded H-bridge STATCOM in Simulink. Observations showed that there was a ''performance inversion'' effect where algorithms that provided the least cost gave oscillating or shifted voltage profiles, whereas those that were penalized resulted in improved physical performance. Obsessive settling time priority attained 0.25 s; however, it resulted in the steady-state shift by 140 V for an 82 V target voltage. Random sampling showed that only 9% of solutions gave a stable response. Between the two algorithms, Lex-ITAE with HHO performed better as it gave a smooth voltage profile close to the target 82 V despite having higher costs numerically.

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Citation

This is an open access article distributed under the  Creative Commons Attribution Non-Commercial License (CC BY-NC) License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 

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