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Experimental implementation of optimally tuned multifunctional RLMLS driven VSC tied to single phase voltage weak distribution grid

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Abstract

This work presents a nature-based optimization technique for optimal control and performance enhancement of a single-phase robust least mean logarithmic square driven (RLMLS) grid connected voltage source converter (VSC) in a distribution system with the aim of feeding continuous power to the grid. Water cycle algorithm (WCA) is employed to tune the proportional-integral (PI) controller parameters of VSC to regulate DC link voltage fluctuations owing to dynamic load conditions. This results in generation of accurate loss component of current (\(I_{loss}\)) to improve the performance of VSC. The VSC acts as an active power filter and counters various power quality (PQ) problems viz; poor power factor, grid-side harmonics and reactive power burden. The pulses for the VSC are acquired by employing RLMLS control, which ensures relatively superior convergence performance and reduced computational complexity owing to its simple architecture. The proposed control demonstrates the unique property of adaptability during disconnection and reconnection of load from the system. Significantly, this work depicts the system operation under abnormal conditions of the distribution network like load decrement and increment, load disconnection and reconnection, voltage sag and swell. The suggested system is corroborated with the help of a grid integrated laboratory prototype with a maximum operating rating of 2 kW at 230 V, 20A. The operating power level is 200W, 4A at 50 V (rms) with the transformer connected to the grid. Extensive simulation and experimental results obtained on a DSP dSPACE 1104 controller verify the effectiveness of the proposed control.

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References

  • Agarwal RK, Hussain I, Singh B (2016) Lmf-based control algorithm for single stage three-phase grid integrated solar pv system. IEEE Trans Sustain Energy 7(4):1379–1387

    Article  Google Scholar 

  • Aggarwal RK, Hussain I, Singh B (2017) Application of lms-based nn structure for power quality enhancement in a distribution network under abnormal conditions. IEEE Trans Neural Netw Learn Syst 29(5):1598–1607

    Article  Google Scholar 

  • Aijaz M, Hussain I, Lone SA (2022) Golden eagle optimized control for a dual stage photovoltaic residential system with electric vehicle charging capability. Energy Sources Part A 44(2):4525–4545

    Article  Google Scholar 

  • Beniwal N, Hussain I, Singh B (2016) PNLMS based adaptive control algorithm for solar pv grid tied system. In: 2016 11th International Conference on Industrial and Information Systems (ICIIS), IEEE, pp 661–665

  • Chittora P, Singh A, Singh M (2018) Simple and efficient control of dstatcom in three-phase four-wire polluted grid system using mccf-sogi based controller. IET Gener Transm Distrib 12(5):1213–1222

    Article  Google Scholar 

  • Deo S, Jain C, Singh B (2015) A pll-less scheme for single-phase grid interfaced load compensating solar pv generation system. IEEE Trans Ind Inf 11(3):692–699

    Article  Google Scholar 

  • Eskandar H, Sadollah A, Bahreininejad A, Hamdi M (2012) Water cycle algorithm-a novel metaheuristic optimization method for solving constrained engineering optimization problems. Comput Struct 110:151–166

    Article  Google Scholar 

  • Gupta TN, Murshid S, Singh B (2019) Power quality improvement of single phase weak grid interfaced hybrid solar pv and wind system using double fundamental signal extracter-based control. IET Gener Transm Distrib 13(17):3988–3998

    Article  Google Scholar 

  • Hussain I, Agarwal R K, Singh B (2021) Delayed lms based adaptive control of pv-dstatcom system. In: 2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies, IEEE, pp 1–6

  • Kumar P, Mahajan A (2008) Soft computing techniques for the control of an active power filter. IEEE Trans Power Deliv 24(1):452–461

    Article  Google Scholar 

  • Kumar C, Mishra MK (2015) Operation and control of an improved performance interactive dstatcom. IEEE Trans Ind Electron 62(10):6024–6034

    Article  Google Scholar 

  • Nazir M, Hussain I, Ahmad A (2021a) Multilayer adaptive neural network for dc link voltage regulation in grid connected hybrid systems. Int J Power Energy Syst 41:03

    Google Scholar 

  • Nazir MI, Ahmad A, Hussain I (2021b) Improved higher order adaptive sliding mode control for increased efficiency of grid connected hybrid systems. Int J Emerg Electr Power Syst 22(5):583–594

    Article  Google Scholar 

  • Pandey SK, Kumar S, Singh B (2018) Lco-fll control for single-phase utility integrated single-stage solar pv system. IET Renew Power Gener 12(16):1941–1948

    Article  Google Scholar 

  • Sharma S, Ghosh S (2020) Fis and hybrid abc-pso based optimal capacitor placement and sizing for radial distribution networks. J Ambient Intell Humaniz Comput 11(2):901–916

    Article  Google Scholar 

  • Singh B, Arya SR, Chandra A, Al-Haddad K (2014a) Implementation of adaptive filter in distribution static compensator. IEEE Trans Ind Appl 50(5):3026–3036

    Article  Google Scholar 

  • Singh B, Chandra A, Al-Haddad K (2014b) Power quality: problems and mitigation techniques. John Wiley & Sons, New Jersey

    Google Scholar 

  • Srinivas M, Hussain I, Singh B (2016) Combined lms-lmf-based control algorithm of dstatcom for power quality enhancement in distribution system. IEEE Trans Ind Electron 63(7):4160–4168

    Article  Google Scholar 

  • Subramanian A, Raman J (2021) Grasshopper optimization algorithm tuned maximum power point tracking for solar photovoltaic systems. J Ambient Intell Humaniz Comput 12(9):8637–8645

    Article  Google Scholar 

  • Suja K (2021) Mitigation of power quality issues in smart grid using levy flight based moth flame optimization algorithm. J Ambient Intell Humaniz Comput 12:9209–9228

    Article  Google Scholar 

  • Tarisciotti L, Formentini A, Gaeta A, Degano M, Zanchetta P, Rabbeni R, Pucci M (2016) Model predictive control for shunt active filters with fixed switching frequency. IEEE Trans Ind Appl 53(1):296–304

    Article  Google Scholar 

  • Téllez AÁ, López G, Isaac I, González J (2018) Optimal reactive power compensation in electrical distribution systems with distributed resources review. Heliyon 4(8):e00746

    Article  Google Scholar 

  • Vedam RS, Sarma MS (2017) Power quality: VAR compensation in power systems. CRC Press, London

    Book  Google Scholar 

  • Xiong K, Wang S (2019) Robust least mean logarithmic square adaptive filtering algorithms. J Franklin Inst 356(1):654–674

    Article  MathSciNet  MATH  Google Scholar 

  • Yada H K, Murthy M (2014) A new topology and control strategy for extraction of reference current using single phase sogi-pll for three-phase four-wire shunt active power filter. In; 2014 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), IEEE, pp 1–6

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Correspondence to Masood Ibni Nazir.

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Appendices

Appendix A: Simulation parameters

Ripple filter: \(R_{f}\) = 5 \(\Omega\), \(C_{f}\) = 15 \(\mu\)F; Interfacing inductor, \(L_{f}\): 3 mH, DC link capacitor, \(C_{dc}\) = 3000 \(\mu\)F, DC link voltage, \(V_{dc}\) = 360 V, AC-grid voltage, \(v_{s}\): 220 V.

Appendix B: Experimental parameters

\(R_{f}\) = 5 \(\Omega\), \(C_{f}\) = 15 \(\mu\)F; \(L_{f}\) = 4 mH, \(C_{dc}\) = 2200 \(\mu\)F, \(V_{dc}\) = 90 V, \(v_{s}\) = 50 V.

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Nazir, M.I., Irshad, Y., Hussain, I. et al. Experimental implementation of optimally tuned multifunctional RLMLS driven VSC tied to single phase voltage weak distribution grid. J Ambient Intell Human Comput 14, 4561–4572 (2023). https://doi.org/10.1007/s12652-023-04578-w

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