Skip to main content

Advertisement

Log in

A modified FOGI-FLL feature-based control algorithm for single-stage grid-interfaced solar PV system

  • Original Research
  • Published:
International Journal of Energy and Environmental Engineering Aims and scope Submit manuscript

Abstract

This paper presents an overview of power quality improvement of the distributed network by using a novel robust control algorithm. The novel robust control algorithm is modified fourth-order generalized integral action with frequency-locked loop feature (Mod.FOGI-FLL) for a three-phase grid-interfaced single-stage solar photovoltaic (PV) system with distribution static compensator capabilities. The functions taken into features for robust control algorithm (Mod.FOGI-FLL) are load balancing, reactive power compensation, power factor correction with active power generation for proposed topology, and behavior of proposed control with different faults at point of common coupling (PCC). The perturb and observe (P&O) algorithm is used to extract maximum power from the PV array under variable atmospheric conditions. To adapt with variation in terminal voltage at the point of common contact (PCC), PV feed-forward term is also added in the control algorithm to make fewer oscillations in grid current. Test results demonstrate satisfactory response for steady-state and dynamic conditions at load unbalancing, variations in insolation level, and fault profile at VSC. The DC rejection capabilities of a proposed control methodology obtained are around 60 decibel which is 22 decibel more than FOGI-FLL techniques with the same gain parameters 38 decibel. The distortion in grid currents and voltages is obtained from MATLAB/SIMULINK within limits IEEE-519 standard.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Source power versus the time during insolation increase

Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

source power versus the time (load unbalancing of phase A)

Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21

Source voltage versus the time (load unbalancing of phase A)

Fig. 22
Fig. 23

Source power versus the time

Fig. 24
Fig. 25

Similar content being viewed by others

Abbreviations

Mod.FOGI-FLL:

Modified fourth-order generalized integral action with frequency-locked loop

PV:

Solar photovoltaic

D-STATCOM:

Distribution static compensator

PCC:

Point of common coupling

P COP & O algorithm:

Perturb and observe algorithm

COP:

Conference of parties

MSRF:

Modified synchronous reference frame theory

IRPT:

Instantaneous reactive power theory

EPLL:

Enhanced phase-locked loop

FLL:

Frequency-locked loop

SOGI:

Second-order generalized integral

FOGI:

Fourth-order generalized integral

CTF:

Character in triangle function

SOGI-D:

Damped second-order generalized integral

SOGI-Q:

Quadrature second-order generalized integral

V t :

Unit template, the terminal voltage

V sa, V sb, V sc :

Source voltage of a, b, c phases, respectively

u pa, u pb, u pc :

In phase unit template of phases a, b, c, respectively

V DC :

DC bus voltage

V dcref :

Reference DC bus voltage

I pvffd :

PV feed-forward current

I loss :

Converter loss component current

K p, K I :

Gain parameters of PI controller

i 1q :

Quadrature component of fundamental load current

i 1d :

Fundamental component of in-phase load current

i 1 :

Fundamental load current

ω :

Estimated system frequency

i m :

Intermediate signal of controller

ω cr :

Frequency tracking error

θ :

Angle associated with fundamental load current

θ gc :

Angle associated with fundamental quadrature component and error component

θ pc :

Angle associated with fundamental in phase component and error component

e :

Error between reference and actual current for fundamental in phase and fundamental quadrature component

I max :

Maximum fundamental load current

P pv :

PV power

I apeak, I bpeak, I cpeak :

Peak current of a, b, c phases, respectively

I net :

Total net current

I ref_a, I ref_b, I ref_c :

Reference current generation of a, b, c phases, respectively

a 1, a 2, a 3, a :

Constant used for simulation

References

  1. Agarwal, R.K., Hussain, I., Singh, B.: 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 (2018)

    Article  Google Scholar 

  2. Dave, M. K.: Modeling of PV arrays based on datasheet. In: 2016 IEEE 1st international conference on power electronics, intelligent control and energy systems (ICPEICES), pp. 1–4 (2016)

  3. Kumar, N., Hussain, I., Singh, B., Panigrahi, B.K.: MPPT in dynamic condition of partially shaded PV system by using WODE technique. IEEE Trans. Sust. Energy 8(3), 1204–1214 (2017)

    Article  Google Scholar 

  4. Liu, C., Wu, B., Cheung, R.: Advanced algorithm for MPPT controlofphotovoltaic systems. Proc. Canadian solar buildings conference montreal, August 20–24 (2004)

  5. Singh, B., Kumar, S., Jain, C.: Damped-SOGI-based control algorithm for solar pv power generating system. IEEE Trans. Ind. Appl. 53(3), 1780–1788 (2017)

    Article  Google Scholar 

  6. Arfeen, Z.A., Khairuddin, A.B., Larik, R.M., Saeed, M.S.: Control of distributed generation systems for microgrid applications: a technological review. Int. Trans. ElectrEnerg Syst. 29, e12072 (2019)

    Google Scholar 

  7. Singh, B., Ai-Haddad, K., Chandra, A.: Active power filter for harmonic and reactive power compensation in three-phase, four-wire systems supplying non-linear loads. Euro. Trans. Electr. Power 8, 139–145 (1998)

    Article  Google Scholar 

  8. Barik, P.K., Shankar, G., Sahoo, P.K.: Power quality assessment of microgrid using fuzzy controller aided modified SRF based designed SAPF. Int. Trans ElectrEnerg. Syst. 30, e12289 (2020)

    Google Scholar 

  9. Labeeb, M., Lathika, B.S.: Design and analysis of DSTATCOM using SRFT and ANN-fuzzy based control for power quality improvement. IEEE Recent Adv. Intell. Comput. Syst. 2011, 274–279 (2011)

    Google Scholar 

  10. Rezkallah, M., Sharma, S.K., Chandra, A., Singh, B., Rousse, D.R.: Lyapunov function and sliding mode control approach for the solar-PV grid interface system. IEEE Trans. Ind. Electron. 64(1), 785–795 (2017)

    Article  Google Scholar 

  11. Luo, S., Wu, F.: Improved two-phase stationary frame EPLL to eliminate the effect of input harmonics, unbalance and DC offsets. IEEE Trans. Industr. Inf. 13(6), 2855–2863 (2017)

    Article  Google Scholar 

  12. Reza, M.S., Ciobotaru, M., Agelidis, V.G.: Accurate estimation of single-phase grid voltage parameters under distorted conditions. IEEE Trans. Power Deliv. 29(3), 1138–1146 (2014)

    Article  Google Scholar 

  13. Kumar Agarwal, R., Hussain, I., Singh, B.: Three-phase single-stage grid tied solar PV ECS using PLL-less Fast CTF control technique. IET Power Electron. 10(2), 178–188 (2017)

    Article  Google Scholar 

  14. Barnes, A.K., Balda, J.C., Stewart, C.M.: Selection of converter topologies for distributed energy resources. Twenty-Seventh Ann. IEEE Appl. Power Electron. Conf. Expos. 2012, 1418–1423 (2012)

    Google Scholar 

  15. Subudhi, B., Pradhan, R.: A comparative study on maximum power point tracking techniques for photovoltaic power systems. IEEE Trans. Sustain. Energy 4(1), 89–98 (2013)

    Article  Google Scholar 

  16. Varma, R.K., Khadkikar, V., Seethapathy, R.: Nighttime application of PV solar farm as STATCOM to regulate grid voltage. IEEE Trans. Energy Convers. 24(4), 983–985 (2009)

    Article  Google Scholar 

  17. Matas, J., Castilla, M., Miret, J., García de Vicuña, L., Guzman, R.: An adaptive prefiltering method to improve the speed/accuracy tradeoff of voltage sequence detection methods under adverse grid conditions. IEEE Trans. Ind. Electron. 61(5), 2139–2151 (2014)

    Article  Google Scholar 

  18. Nicastri, A., Nagliero, A.: Comparison and evaluation of the PLL techniques for the design of the grid-connected inverter systems. IEEE Int. Symp. Ind. Electron. 2010, 3865–3870 (2010)

    Google Scholar 

  19. Singh, B., Arya, S.R.: Back-propagation control algorithm for power quality improvement using DSTATCOM. IEEE Trans. Ind. Electron. 61(3), 1204–1212 (2014)

    Article  Google Scholar 

  20. Shah, P., Hussain, I., Singh, B.: A novel fourth-order generalized integrator based control scheme for multifunctional SECS in the distribution system. IEEE Trans. Energy Convers. 33(3), 949–958 (2018)

    Article  Google Scholar 

  21. IEEE Recommended practice and requirements for harmonic control in electric power systems. in IEEE Std 519–1992 , vol., no., pp.1–29, 11 (2014)

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Renu Sharma.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Puhan, S.S., Sharma, R. A modified FOGI-FLL feature-based control algorithm for single-stage grid-interfaced solar PV system. Int J Energy Environ Eng 13, 1349–1365 (2022). https://doi.org/10.1007/s40095-022-00487-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40095-022-00487-4

Keyword

Navigation