Multiple AI based Controlling Techniques for Power Filter Output Quality Improvement
Keywords:Hybrid power filter, CSA, NN, RLS, THD%.
The excessive of power electronics devices in distribution system has evolved the problem of power quality. This work represents the effective solution of shunt active power filter for eliminating the harmonics to maintain the quality of utility power supply. In the proposed scheme shunt active filter acts as a voltage source and eliminates harmonics by injecting equal but opposite harmonics components at the point of common coupling. Simulation of shunt active filter based on instantaneous reactive has been achieved in the MATLAB/SIMULINK environment. The controllers are being designed with the objective of reducing the THD% in voltage and current available at the nonlinear load terminal of the system. The controller incorporated optimization algorithms based on the artificial intelligence techniques as well. The comparative analysis of the effectiveness and efficiency of the controllers in improving the quality factors has been carried out. The distortion level in the output voltage waveforms in both the cases being fed to the load when compared, it is found that proposed hybrid structure of control for the filter is more effective in reducing the distortion as compared to standard PQ theory based architecture. The study concluded that the total harmonic distortion in the voltage output waveform being fed to the load using only PQ theory based online learning algorithm is found to be 1.59 % while in case of the output voltage at the load terminal from the power filter using proposed hybrid algorithm comprising of NN learning with CSA optimizing control and PQ_RLS algorithm for THD reduction the THD% level is 0.43 %.
V Taraka Rama Reddy, T Siva Sai “Harmonic Mitigation and Power Quality Enhancement Using PV Fed Series Active Filter for Grid Systems” international journal of scientific & technology research volume 9, issue 01, January 2020.
Abdul Kahar, N, Zobaa, A (2019) Application of mixed integer distributed ant colony optimization to the design of undamped single-tuned passive filters based harmonics mitigation. Swarm and Evolutionary Computation 44:187–199.
Arunsankar, G, Srinath, S (2019) Optimal controller for mitigation of harmonics in hybrid shunt active power filter connected distribution system: An EGOANN technique. Journal of Renewable and Sustainable Energy 11(2): 1–16.
Buch, H, Trivedi, I (2019) An efficient adaptive moth flame optimization algorithm for solving large-scale optimal power flow problem with POZ, multifuel and valve-point loading effect. Iranian Journal of Science and Technology, Transactions of Electrical Engineering 43(4): 1031–1051.
Jiale Zhou, Yong Yang “Control Strategies of Mitigating Dead-time Effect on Power Converters: An Overview” Electronics 2019, 8(2), 196.
A.Sivakumar, N.B.Muthu Selvan Reduction of source current harmonics in ANN controlled induction motor, Alexandria Engineering Journal, Volume 57, Issue 3, September 2018, Pages 1489-1499
Biswas, P, Suganthan, P, Amaratunga, G (2017) Minimizing harmonic distortion in power system with optimal design of hybrid active power filter using differential evolution. Applied Soft Computing 61: 486–496.
Naresh Malla, Dipesh Shrestha “Online Learning Control for Harmonics Reduction Based on Current Controlled Voltage Source Power Inverters” IEEE/CAA Journal of Automatica Sinica, Vol. 4, No. 3, July 2017
Das, S, Ray, P, Mohanty, A (2017) Improvement in power quality using hybrid power filters based on RLS algorithm. Energy Procedia 138: 723–728.
Rangarajan, S, Collins, E, Fox, J (2019) Efficacy of a smart photovoltaic inverter as a virtual detuner for mitigating network harmonic resonance in distribution systems. Electric Power Systems Research 171: 175–184.
How to Cite
Copyright (c) 2021 Rajesh Raghuvanshi
This work is licensed under a Creative Commons Attribution 4.0 International License.
IJOSCIENCE follows an Open Journal Access policy. Authors retain the copyright of the original work and grant the rights of publication to the publisher with the work simultaneously licensed under a Creative Commons CC BY License that allows others to distribute, remix, adapt, and build upon your work, even commercially, as long as they credit you for the original creation. Authors are permitted to post their work in institutional repositories, social media or other platforms.
Under the following terms:
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.