Open AccessTree Structured Multi-Level Control System Design Based on MPC-EKF for Power Quality Enhancement with Selective Harmonic Elimination
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1030.0882s819
Subject(s) - control theory (sociology) , model predictive control , extended kalman filter , harmonics , islanding , computer science , kalman filter , matlab , harmonic , electric power system , power (physics) , control (management) , engineering , voltage , artificial intelligence , physics , quantum mechanics , electrical engineering , operating system
In this paper we propose to design a Tree Structured Multi Level Control System based on Model Predictive Control Algorithm with Extended Kalman Filter (MPC-EKF) to enhance the quality of power. The proposed MPC-EKF predicts the non-linear/unbalanced loads by the use of MPC and along with the prediction there is the need to detect the mode of the grid either grid connected or islanding mode which can be done with the help of EKF and further Improved Particle Swarm Optimized Selective harmonic Elimination (IPSO-SHE) is used to minimise the harmonics. Our proposed TSML control system has been developed in the MATLAB and tested with different load conditions. The simulation results of the proposed TSMLC system when compared with the existing control systems shows the impact of the proposed work.