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Simulation and analysis of a grid integrated distribution system based on LMS algorithm for hybrid types of load

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Abstract

This paper analyzes an adaptive control based Least Mean Square (LMS) algorithm in three phase grid integrated distribution system. This LMS control technique is utilized to alleviate the problems related to power quality, generated by different non-linear types of load and also by solid state equipments. The analysis of distribution static compensator (DSTATCOM) based distribution system has been carried out for various types of load viz. linear and hybrid types of load so as to achieve the improved power quality. Initially the performance was analysed for hybrid load (a combination of linear and non-linear load), and discussed the variation of harmonic content in source current with load power factor, and found minimum at a particular value of load power factor. The source current THD has been observed as 8% at 0.6 power factor load, while it decreases to 5.7% at 0.95 power factor load, maintaining the better quality waveform. It can be suggested that the load having more and more power factor is preferred in distribution system so as to maintain the power quality at its standards level. Moreover, the active and reactive power flow from source/compensator towards load and filter has also been examined. For instance, at 0.95 power factor, grid supplies an active power of 15 kW, and the power consumed by the load and filter is 26.8 kW and 50 W respectively. Consequently, the extra required power has been supplied by the compensator itself. Later, the non-linear load has been removed and the performance was judged for only linear RL load so as to analyze the effects of non-linear load connected at PCC. The source current THD has further reduced to 7.1% at 0.6 power factor and 5.3% at 0.95 power factor, observing the less value than that of the obtained results in case of hybrid load. Hence, it is concluded that the obtained results of THD, from the simulation for linear and hybrid types of load, falls within the permissible limit and hence improves the power quality. A comparison has also been presented for both the cases. The analysis was done in Sim-power system toolbox of Matlab/Simulink software and the obtained results of THD, source and load powers have been represented in tabular form and elaborated graphically.

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Fig. 1
Fig. 2
Fig. 3
Fig. 4

source current’s phase ‘A’

Fig. 5
Fig. 6
Fig. 7

source and total load current

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Abbreviations

V sa, V sb, V sc :

Source voltages of all three phases

x pa, x pb, x pc :

In-phase or active unit templates

i sa, i sb, i sc :

Source current of all three phases

i sa *, i sb *, i sc * :

Reference source currents

i La, i Lb, i Lc :

Load currents

V t :

Amplitude of supply voltages

w a, w b, w c :

Active weight component

e a, e b, e c :

Error signal

y a, y b, y c :

Output signal

V dc :

DC input voltage

V dc * :

Reference dc voltage

w pA :

Average of all the three active weights

w cd :

DC loss weight component

w pt :

Total active weight component

k p :

Proportional gain

k i :

Integral gain

k :

Step size

v dd :

DC voltage error

References

  • Abas N, Dilshad S, Khalid A, Saleem MS, Khan N (2020) Power quality improvement using dynamic voltage restorer. IEEE Access 8:164325–164339

    Article  Google Scholar 

  • Ahmad M, Kirmani S (2019) Performance analysis of LMS based control algorithm for power quality improvement in three phase grid connected system for linear/non linear load. Int J Power Electron Drive Syst IJPEDS 10(4):1944–1950

    Google Scholar 

  • Akhtar I, Kirmani S, Ahmad M, Ahmad S (2021) Average monthly wind power forecasting using fuzzy approach. IEEE Access 9:30426–30440

    Article  Google Scholar 

  • Arya SR, Singh B, Niwas R, Chandra A, Al-Haddad K (2016) Power quality enhancement using DSTATCOM in distributed power generation system. IEEE Trans Ind Appl 52(6):5203–5212

    Article  Google Scholar 

  • Bag A, Subudhi B, Ray PK (2020) An adaptive variable leaky least mean square control scheme for grid integration of a PV system. IEEE Trans Sustain Energy 11(3):1508–1515

    Article  Google Scholar 

  • Banik R, Das P (2020) A review on architecture, performance and reliability of hybrid power system. J Inst Eng India Ser B 101:527–539

    Article  Google Scholar 

  • Chen CS, Lin CH, Hsieh WL, Hsu CT, Ku TT (2013) Enhancement of PV penetration with DSTATCOM in Tai power distribution system. IEEE Trans Power Syst 28(2):1560–1567

    Article  Google Scholar 

  • Chishti F, Murshid S, Singh B (2020) PCC voltage quality restoration strategy of an isolated microgrid based on adjustable step adaptive control. IEEE Trans Ind Appl 56(6):6206–6215

    Article  Google Scholar 

  • Ehtesham M, Ahmad M, Jamil M (2021a) Enhancing PV inverter performance while interfacing with distribution network. Int J Electr Eng Technol IJEET 12(8):50–59

    Google Scholar 

  • Ehtesham M, Ahmad M, Kirmani S (2021b) Analyzing performance of stand-alone and grid connected PV systems for different power factor loads. Int J Electr Eng Technol IJEET 12(8):94–105

    Google Scholar 

  • Ghosh A, Ledwich G (2009) Power quality enhancement using custom power devices. Springer, New York

    Google Scholar 

  • Gupta S, Garg R, Singh A (2020) ANFIS-Based control of multi-objective grid connected inverter and energy management. J Inst Eng India Ser B 104:1–14

    Article  Google Scholar 

  • Gupta N, Garg R, Kumar P (2021) Grid synchronization and islanding detection control algorithm for two-stage three-phase SPV system. IETE J Res. https://doi.org/10.1080/03772063.2021.1886606

    Article  Google Scholar 

  • Haykin SO (1996) Adaptive filter theory, 3rd edn. Prentice-Hall, Englewood Cliffs

    MATH  Google Scholar 

  • Hingorani NG, Gyugyi L (2000) Understanding FACTS: concepts and technology of flexible AC transmission systems. IEEE Press, New York

    Google Scholar 

  • Kumar C, Mishra MK (2014) A voltage-controlled DSTATCOM for power-quality improvement. IEEE Trans Power Deliv 29(3):1499–1507

    Article  Google Scholar 

  • Kumar C, Mishra MK, Mekhilef S (2020a) A new voltage control strategy to improve performance of DSTATCOM in electric grid. CES Trans Electr Mach Syst 4(4):295–302

    Article  Google Scholar 

  • Kumar A, Kewat S, Singh B, Jain R (2020b) An integration of solar photovoltaic generation to three-phase utility using adaptive control algorithm. J Inst Eng India Ser B 101:43–54

    Article  Google Scholar 

  • Latran MB, Teke A, Yoldas Y (2015) Mitigation of power quality problems using distribution static synchronous compensator: a comprehensive review. IET Power Electron 8(7):1312–1328

    Article  Google Scholar 

  • Majumder R (2013) Reactive power compensation in single-phase operation of microgrid. IEEE Trans Ind Electron 60(4):1403–1416

    Article  Google Scholar 

  • Matam MB, Venkata AKD, Mallapu VK (2018) Evaluation of impedance network based 7-level switched capacitor multi level inverter for single phase grid integrated system. J Inst Eng India Ser B 99:623–633

    Article  Google Scholar 

  • Menaga D, Premkumar M, Sowmya R, Narasimman S (2020) Design of nonlinear uncertainty controller for grid-tied solar photovoltaic system using sliding mode control. Energy Eng 117(6):481–495

    Article  Google Scholar 

  • Mohan N, Undeland TM, Robbins WP (2009) Power electronics: converters, applications and design, 3rd edn. Wiley, Hoboken

    Google Scholar 

  • Mosobi RW, Gao S (2019) Performance analysis of distributed energy resource-based LV distribution grid. J Inst Eng India Ser B 100:477–488

    Article  Google Scholar 

  • Muthu Selvan NB, Dheeban SS (2021) ANFIS-based power quality improvement by photovoltaic integrated UPQC at distribution system. IETE J Res. https://doi.org/10.1080/03772063.2021.1888325

    Article  Google Scholar 

  • Nanda SJ, Garg S (2018) Design of supervised and blind channel equalizer based on moth-flame optimization. J Inst Eng India Ser B 100:105–115

    Article  Google Scholar 

  • Nayar P, Singh B, Mishra S (2016) Neural network based control of SG based Standalone generating system with energy storage for power quality enhancement. J Inst Eng India Ser B 98:405–413

    Article  Google Scholar 

  • Parida A, Subudhi B (2020) Modified leaky LMS-based control strategy for reliable operation of single-stage three-phase grid-tied PV system. IET Renew Power Gener 14(9):1453–1462

    Article  Google Scholar 

  • Patel SK, Arya SR, Maurya R (2016) Harmonic mitigation technique for DSTATCOM using continuous time LMS adaptive filter. In: IEEE conference on UPCON, IITBHU Varanasi, India, December 9 to 11

  • Ranjan A, Kewat S, Singh B (2020) Reweighted L1 norm penalized LMS fourth algorithm of solar grid interfaced system for alleviating power quality problems. IEEE Trans Ind Appl 56(5):5352–5362

    Article  Google Scholar 

  • Sahoo SK, Kumar S, Singh B (2020) VSSMLMS-based control of multifunctional PV-DSTATCOM system in the distribution network. ET Gener Transm Distrib 14(11):2100–2110

    Article  Google Scholar 

  • Sarkar S, Chakrabarti U, Bhattacharyya S, Chakrabarti A (2020) A comprehensive assessment of the need and availability of smart grid technologies in an electricity distribution grid network. J Inst Eng India Ser B 101:753–761

    Article  Google Scholar 

  • Saxena NK, Kumar A, Gupta V (2021) Enhancement of system performance using STATCOM as dynamic compensator with squirrel cage induction generator (SCIG) based microgrid. Int J Emerg Electr Power Syst 22(2):177–189

    Google Scholar 

  • Singh B, Bhuvaneswari G, Arya SR (2012) Review on power quality solution technology. Asian Power Electron J 6(2):19–27

    Google Scholar 

  • Singh B, Jayaprakash P, Kothari DP, Chandra A, Al-Haddad K (2014a) Comprehensive study of DSTATCOM configurations. IEEE Trans Ind Inf 10(2):854–870

    Article  Google Scholar 

  • Singh B, Arya SR, Chandra A, Al-Haddad K (2014b) 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 (2015) Power quality: problems and mitigation techniques. Wiley, Hoboken

    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 

  • Srinivas VL, Kumar S, Singh B, Mishra S (2020) A normalized adaptive filter for enhanced optimal operation of grid-interfaced PV system. IEEE Trans Ind Appl 57(2):1715–1724

    Article  Google Scholar 

  • Zuhaib M, Khan HA, Rihan M (2020) Performance analysis of a utility-scale grid integrated solar farm considering physical and environmental factors. J Inst Eng India Ser B 102:363–375

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Electrical Engineering, Rajkiya Engineering College Bijnor, Chandpur, UP, India

    Mohmmad Ahmad

  2. Department of Electrical Engineering, Aligarh Muslim University Aligarh, Aligarh, UP, India

    Sheeraz Kirmani

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  1. Mohmmad Ahmad
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  2. Sheeraz Kirmani
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Correspondence to Mohmmad Ahmad.

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Ahmad, M., Kirmani, S. Simulation and analysis of a grid integrated distribution system based on LMS algorithm for hybrid types of load. Int J Syst Assur Eng Manag 13, 1082–1092 (2022). https://doi.org/10.1007/s13198-021-01392-5

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  • DOI: https://doi.org/10.1007/s13198-021-01392-5

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