4.5 Article

Control of Parallel AC Voltage Source Converter High-Voltage DC System Using an Adaptive PI Evolutionary-Based Controller

Journal

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
Volume 46, Issue 2, Pages 931-945

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s13369-020-04764-4

Keywords

HVDC transmission control; Adaptive PI (API) controller; Voltage source converter (VSC); Teaching learning-based optimization (TLBO); Converter control

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This paper proposes an adaptive PI controller based on evolutionary optimization for a parallel AC voltage source converter HVDC system, which aims to achieve better control performance. Through studying different test cases involving faults, parameter variation, load & reference power variation, the proposed controller demonstrates a substantial improvement in damping system oscillations, indicating better controllability and stability compared to conventional controllers.
High-voltage direct current (HVDC) transmission system based on voltage source converter technology gains attraction in recent years for the grid integration due to many advantages like connecting wind farms to power grids, underground power links, connecting asynchronous grids, and providing efficient long-distance power transmission, etc. To acquire the best output from the above topologies, it is crucial to design a better controller strategy for the converter control. With this objective, this paper presents an adaptive PI controller based on evolutionary optimization for a parallel AC voltage source converter HVDC system. Looking at the extensive application of constant gain PI controller type, an adaptively changing gain parameter PI controller based ontan hyperbolic(tanh) function is proposed in this study. To enhance further its performance, a Modified Teaching Learning-Based Optimization (MTLBO) is used to find optimally the parameters of the proposed control strategy. To justify the effectiveness of the proposed controller, different test cases in terms of faults, parameter variation, and load & reference power variation are studied and analyzed. Comparative analysis with a conventional tuned PI controller, PI-MTLBO controller, and proposed API-MTLBO controller is demonstrated for indicating a substantial improvement in the damping system oscillations with better controllability and stability of the proposed approach.

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