Analysis, Dimensioning and Robust Control of Shunt Active Filter for Harmonic Currents Compensation in Electrical Mains
Andrea Tilli, Lorenzo Marconi, Christian Conficoni

TL;DR
This paper discusses the analysis, dimensioning, and robust control strategies for Shunt Active Filters used in harmonic current compensation, emphasizing system theory, control algorithms, and stability considerations.
Contribution
It introduces a control design approach using system theory, singular perturbation, and Internal Model Principle for effective and robust harmonic compensation in SAFs.
Findings
Effective control algorithms for SAFs are developed.
System theory aids in understanding SAF dynamics and stability.
Robust output tracking is achieved through advanced control techniques.
Abstract
In this chapter some results related to Shunt Active Filters (SAFs) and obtained by the authors and some coauthors are reported. SAFs are complex power electronics equipments adopted to compensate for cur-rent harmonic pollution in electric mains, due to nonlinear loads. By using a proper "floating" capacitor as energy reservoir, the SAF purpose is to inject in the line grid currents canceling the polluting har-monics. Control algorithms play a key role for such devices and, in general, in many power electronics applications. Moreover, systems theory is crucial, since it is the mathematical tool that enables a deep understanding of the involved dynamics of such systems, allowing a correct dimensioning, beside an effective control. As a matter of facts, current injection objective can be straightforwardly formulated as an output tracking control problem. In this fashion, the structural…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMicrogrid Control and Optimization · Power System Optimization and Stability · Wind Turbine Control Systems
