Tree Structured Multi-Level Control System Design Based on MPC-EKF for Power Quality Enhancement with Selective Harmonic Elimination
N Narender Reddy1, Jarupula Somla2, A Srujana3
1N Narender Reddy, Research Scholar, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (A.P), India.
2Jarupula Somla, Professor, Department of EEE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (A.P), India.
3A Srujana, Professor, Department of EEE, Sri Venkateswara Engineering College, Suryapet (Telangana), India.
Manuscript received on 20 August 2019 | Revised Manuscript received on 11 September 2019 | Manuscript Published on 17 September 2019 | PP: 1158-1163 | Volume-8 Issue-2S8 August 2019 | Retrieval Number: B10300882S819/2019©BEIESP | DOI: 10.35940/ijrte.B1030.0882S819
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Distribution Grids, Tree structure Multilevel(TSML) Control System, Islanding Model Predictive Controller, Extended Kalman Filter (EKF), Particle Swarm Optimization (PSO), Selective Harmonic Elimination (SHE).
Scope of the Article: Low-power design