Lorentzian adaptive filter for controlling shunt compensator to mitigate power quality problems of solar PV interconnected with grid. (26th August 2020)

• Record Type: Journal Article
• Authors: Pragathi, Bellamkonda; Nayak, Deepak Kumar; Poonia, Ramesh Chandra
• Is Part Of: International journal of intelligent information and database systems. Volume 13:Number 2/4(2020)
• Page Start: 491
• Page End: 506
• Publication Date: 2020-08-26
• Subjects: photovoltaic system -- DC-DC converter -- Lorentzian norm -- MPPT -- gain factor -- sliding window; Database management -- Computer programs -- Periodicals; Information retrieval -- Computer programs -- Periodicals; Information storage and retrieval systems -- Computer programs -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligent agents (Computer software) -- Periodicals; 006.33
• Languages: English
• ISSNs: 1751-5858

Abstract

The proposed system deals with Lorentzian norm-based Lorentzian adaptive control algorithm, grid interconnected photovoltaic (PV) system which consists of solar photovoltaic, boost converter, maximum power point tracking (MPPT) controlling PV system, ripple filter, voltage source converter (VSC), interfacing inductor and three phase nonlinear/linear loads. The reference grid current for voltage source converter section is estimated using Lorentzian adaptive control algorithm. The Lorentzian norm based on sliding window objective function with gain factor matrix to eliminate the impulsive effect. Neutral current compensation is achieved by three phase zig-zag transformer connected to PCC of solar grid. The proposed Lorentzian adaptive filter maintains unit power factor at grid, harmonic elimination, load balancing, reactive and neutral current power compensation for zero voltage regulation. In the proposed system maximum power point tracking technique using incremental conductance's algorithm is used for maintaining constant DC bus voltage. The Lorentzian adaptive filter algorithm is modelled in MATLAB along with Simulink.