Optimal Hybrid Filtering Strategy Using Adaptive Genetic-Fuzzy Logic Control for Harmonics Reduction in a Standalone Micro Hydroelectric Power Plant Coordinated with a PV System



Abstract Views
362

Downloads
277

Citations

Share

##plugins.themes.bootstrap3.article.sidebar##

Submitted Jul 19, 2021
Published Aug 9, 2021
10.24018/ejece.2021.5.4.348

Abstract viewed = 362 times

Table of Contents

##plugins.themes.bootstrap3.article.main##

Micro Hydro Power Plants are a type of power production that uses the force of river flows or waterfalls to generate electricity. The generator generates current waves and harmonic voltage, which are distorted wave disturbances that cause fundamental frequency multiplication. The major goal of this work is to design a reliable, efficient, and innovative harmonic mitigation approach for a stand-alone micro hydroelectric system that is coordinated with a photovoltaic renewable energy system utilising an active power filter. We may pick the active filter highest harmonic to be suppressed using the magnitude information supplied for each harmonic component. A hybrid filtering approach to remove harmonics and a novel MOGA optimization technique are part of the suggested harmonics reduction solution. The goal of this article is to determine the optimum filter for decreasing harmonics in an induction generator. As the harmonic damper, two filters were chosen: a passive filter and an active power filter. The suggested MOGA control method is compared to GA and evaluated on simulated data. In tracking harmonic components and fundamental frequency, the suggested MOGA control system provides high convergence speed and accuracy. It's extremely adaptable, and it can predict changes in the phase angle, amplitude, and fundamental frequency of harmonic components. When compared to the Genetic Algorithm method, it performs better. Simulation results using the SIMULINK/MATLAB simulation tool are delivered to evaluate the efficacy of the suggested active filter system. The impact of harmonic currents on the magnetic flux density is investigated using the rated condition as a reference. It has been established that the time harmonic is a significant element influencing generator performance. At the same time, the impacts of harmonic currents on the generator's eddy current loss, average torque, and torque ripple are investigated, as well as the mechanism of eddy current loss fluctuation.

Keywords: Active Filter, Harmonics Reduction, Micro Hydropower Plant, Passive Filter, Synchronous Generator, Total Harmonic Distortion

Downloads

Download data is not yet available.

References

  1. GM Shafiullah, Tjedza Masola, Remember Samu, Rajvikram Madurai Elavarasan, Sharmina Begum, Umashankar Subramaniam, Mohd Fakhizan Romlie, Mohammad Chowdhury, M. T. Arif, ?Prospects of Hybrid Renewable Energy-Based Power System: A Case Study, Post Analysis of Chipendeke Micro-Hydro, Zimbabwe?, IEEE Access, 2021, Vol. 9.
     Google Scholar
  2. Jamiu O. Oladigbolu, Makbul A. M. Ramli, Yusuf A. Al-Turki, ?Feasibility Study and Comparative Analysis of Hybrid Renewable Power System for off-Grid Rural Electrification in a Typical Remote Village Located in Nigeria?, IEEE Access, 2020, Vol. 8.
     Google Scholar
  3. Irfan Sami, Nasim Ullah, S. M. Muyeen, Kuaanan Techato, Md. Shahariar Chowdhury, Jong-Suk Ro, ?Control Methods for Standalone and Grid Connected Micro-Hydro Power Plants with Synthetic Inertia Frequency Support: A Comprehensive Review?, IEEE Access, 2020, Vol. 8.
     Google Scholar
  4. Shivangni Sharma, Vimlesh Verma, ?Modified Control Strategy for Shunt Active Power Filter With MRAS-Based DC Voltage Estimation and Load Current Sensor Reduction?, IEEE Transactions on Industry Applications, 2021, Vol. 57, Issue 2.
     Google Scholar
  5. Cheng Gong, Wai-Kit Sou, Chi-Seng Lam, ?Design and Analysis of Vector Proportional?Integral Current Controller for LC-Coupling Hybrid Active Power Filter With Minimum DC-Link Voltage?, IEEE Transactions on Power Electronics, 2021, Vol. 36, Issue 8.
     Google Scholar
  6. Siqi Wu, Zhigang Liu, ?Low-Frequency Stability Analysis of Vehicle-Grid System with Active Power Filter Based on dq-Frame Impedance?, IEEE Transactions on Power Electronics, 2021, Vol. 36, Issue 8.
     Google Scholar
  7. Man-Chung Wong, Ying Pang, Zeng Xiang, Lei Wang, Chi-Seng Lam, ?Assessment of Active and Hybrid Power Filters Under Space Vector Modulation?, IEEE Transactions on Power Electronics, 2021, Vol. 36, Issue 3.
     Google Scholar
  8. Osman Kukrer, Hasan Komurcugil, Ramon Guzman, Luis Garcia de Vicuna, ?A New Control Strategy for Three-Phase Shunt Active Power Filters Based on FIR Prediction?, IEEE Transactions on Industrial Electronics, 2021, Vol. 68, Issue 9.
     Google Scholar
  9. Sabir Ouchen, Mohamed Benbouzid, Frede Blaabjerg, Achour Betka, Heinrich Steinhart, ?Direct Power Control of Shunt Active Power Filter Using Space Vector Modulation Based on Supertwisting Sliding Mode Control,? IEEE Journal of Emerging and Selected Topics in Power Electronics, 2021, Vol. 9, Issue 3.
     Google Scholar
  10. Shixi Hou, Yundi Chu, Juntao Fei, ?Intelligent Global Sliding Mode Control Using Recurrent Feature Selection Neural Network for Active Power Filter?, IEEE Transactions on Industrial Electronics, 2021, Vol. 68, Issue 8.
     Google Scholar
  11. Gaoxiang Li, An Luo, Zhixing He, Fujun Ma, Yandong Chen, Wenhua Wu, Zhen Zhu, Josep M. Guerrero, ?A DC Hybrid Active Power Filter and Its Nonlinear Unified Controller Using Feedback Linearization?, IEEE Transactions on Industrial Electronics, 2021, Vol. 68, Issue 7.
     Google Scholar
  12. Narendra Babu P, Josep M. Guerrero, Pierluigi Siano, Rangababu Peesapati, Gayadhar Panda, ?An improved adaptive control strategy in grid-tied PV system with active power filter for power quality enhancement?, IEEE Systems Journal, 2021, Vol. 15, Issue 2.
     Google Scholar
  13. Krama A, Zellouma L, Benaissa A, Rabhi B, Bouzidi M, Benkhoris MF, ?Design and experimental investigation of predictive direct power control of threephase shunt active filter with space vector modulation using anti-windup PI controller optimized by PSO,? Arabian J Sci Eng, 2019;44:6741?55.
     Google Scholar
  14. Ouchen S, Betka A, Gaubert J-P, Abdeddaim S., ?Simulation and real time implementation of predictive direct power control for three phase shunt active power filter using robust phase-locked loop,? Simul Model Pract Theory, 2017;78:1?17.
     Google Scholar
  15. Aissa O, Moulahoum S, Colak I, Babes B, Kabache N., ?Analysis and experimental evaluation of shunt active power filter for power quality improvement based on predictive direct power control,? Environ Sci Pollut Res, 2018;25:24548?60.
     Google Scholar
  16. Mahaboob S, Ajithan SK, Jayaraman S., ?Optimal design of shunt active power filter for power quality enhancement using predator-prey based firefly optimization,? Swarm Evol Comput, 2019;44:522?33.
     Google Scholar
  17. Costa BLG, Graciola CL, Ang?lico BA, Goedtel A, Castoldi MF. ?Metaheuristics optimization applied to PI controllers tuning of a DTC-SVM drive for threephase induction motors,? Appl Soft Comput, 2018;62:776?88.
     Google Scholar
  18. Rameshkumar K, Indragandhi V., ?Real time implementation and analysis of enhanced artificial bee colony algorithm optimized PI control algorithm for single phase shunt active power filter,? J Electric Eng Technol, 2020.
     Google Scholar
  19. Long Q., ?A constraint handling technique for constrained multi-objective genetic algorithm,? Swarm Evol Comput, 2014;15:66?79.
     Google Scholar
  20. Tian D, Shi Z., ?MPSO: Modified particle swarm optimization and its applications,? Swarm Evol Comput, 2018;41:49?68.
     Google Scholar
  21. Ismkhan H., ?Effective heuristics for ant colony optimization to handle largescale problems,? Swarm Evol Comput, 2017;32:140?9.
     Google Scholar
  22. Akbari R, Hedayatzadeh R, Ziarati K, Hassanizadeh B., ?A multi-objective artificial bee colony algorithm,? Swarm Evol Comput, 2012;2:39?52.
     Google Scholar
  23. Babu TS, Priya K, Maheswaran D, Kumar KS, Rajasekar N., ?Selective voltage harmonic elimination in PWM inverter using bacterial foraging algorithm,? Swarm Evol Comput, 2015;20:74?81.
     Google Scholar
  24. Parandhaman B, Nataraj SK, Baladhandautham CB., ?Optimization of DC-link voltage regulator using Bat algorithm for proportional resonant controllerbased current control of shunt active power filter in distribution network,? Int Trans Electrical Energy Syst, 2020;30:e12369.
     Google Scholar
  25. Awasthi A, Chandra D, Rajasekar S, Singh AK, Karuppanan P., ?An Improved PSO approach for optimal tuning of PI controller for shunt active power filter using FPGA with hardware co-simulation?, In: 2016 IEEE international conference on power electronics, drives and energy systems (PEDES); 2016, pp. 1?6.
     Google Scholar
  26. Bharathi SLK, Selvaperumal S., ?MGWO-PI controller for enhanced power flow compensation using unified power quality conditioner in wind turbine squirrel cage induction generator,? Microprocess Microsyst, 2020:103080.
     Google Scholar
  27. Mishra AK, Das SR, Ray PK, Mallick RK, Mohanty A, Mishra DK., ?PSO-GWO optimized fractional order PID based hybrid shunt active power filter for power quality improvements,? IEEE Access, 2020;8:74497?512.
     Google Scholar
  28. Gali V, Gupta N, Gupta R., ?Improved dynamic performance of shunt active power filter using particle swarm optimization,? In: 2017 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS); 2017, p. 1?7.
     Google Scholar
  29. Bengourina MR, Rahli M, Slami S, Hassaine L., ?Optimization of direct power control of three-phase shunt active power filter by using PSO algorithm,? Synthesis, 2017;101:100.
     Google Scholar
  30. Sakthivel A, Vijayakumar P, Senthilkumar A, Lakshminarasimman L, Paramasivam S., ?Experimental investigations on ant colony optimized PI control algorithm for shunt active power filter to improve power quality control,? Eng Pract, 2015;42:153?69.
     Google Scholar
  31. Thanh HP, Van HD, Duy AN, Duy CN., ?Optimizing parameters of the shunt active power filter using Genetic algorithm,? In: 2017 9th International Conference on Knowledge and Systems Engineering (KSE). p. 233?8.
     Google Scholar