InECCE2019 pp 655-668 | Cite as

Improvement of Performance and Response Time of Cascaded Five-Level VSC STATCOM Using ANN Controller and SVPWM During Period of Voltage Sag

  • Mohamad M. Almelian
  • Izzeldin I. MohdEmail author
  • Abu Zaharin Ahmad
  • Mohamed A. Omran
  • Muhamad Z. Sujod
  • N. M. Elasager
  • Mohamed Salem
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 632)


Power system is an extremely nonlinear system with a number of interconnected loads. When the system is subjected to the faults, the stability of the system will be disturbed. The major problem dealt here is voltage sag. A static synchronous compensator (STATCOM) is one of the FACTS devices which can inject proper reactive current at the point of common coupling (PCC) to compensate voltage sag. A non-linear controller like artificial neural network (ANN) is used with the FACTS devices for better performance. This paper introduces the design of a cascaded 5-level voltage source converter (VSC) STATCOM based on the ANN controller and space vector PWM (SVPWM) technique to nullify the impacts of voltage sag. ANN and SVPWM were employed to enhance the performance and response time (RT) of STATCOM with regard to correction of voltage magnitude and power factor (PF) amplitude during voltage sag period. The performance of STATCOM was analyzed using MATLAB in IEEE 3-bus system with two different types of faults, which are single line to ground (SLG) fault and line to line (LL) fault (both creates voltage sag). The simulation result showed that the ANN-based STATCOM control circuit performed efficiently compared to the PI controller. The ANN controller was able to recover voltage magnitude very quickly (during 0.02 s) with unity.


Cascaded H-bridge five-level VSC STATCOM Artificial neural network SVPWM Voltage sag 



This research is funded by Universiti Malaysia Pahang (UMP) Research Grant Scheme (RDU 1803165). This acknowledgment also goes to the Faculty of Electrical and Electronics Engineering for providing us with facilities to conduct this research.


  1. 1.
    Ghosh A, Ledwich G (2012) Power quality enhancement using custom power devices. Springer Science & Business MediaGoogle Scholar
  2. 2.
    Almelian MM et al (2018) Performance of unified power quality conditioner (UPQC) based on fuzzy controller for attenuating of voltage and current harmonics. In: IOP conference series: materials science and engineering, vol 342, no 1. IOP PublishingGoogle Scholar
  3. 3.
    Ibe OG, Onyema AI (2016) Concepts of reactive power control and voltage stability methods in power system network. IOSR J Comput Eng 11(2):15–25. In: Conference 2016, LNCS, vol 9999. Springer, Heidelberg, pp 1–13Google Scholar
  4. 4.
    Soomro DM, Almelian M (2015) Optimal design of a single tuned passive filter to mitigate harmonics in power frequency. ARPN J Eng Appl Sci 10(19):9009–9014Google Scholar
  5. 5.
    Biabani MAKA, Ali SM, Jawed A (2016) Enhancement of power quality in distribution system using D-Statcom. In:  2016 international conference on signal processing, communication, power and embedded system (SCOPES), IEEEGoogle Scholar
  6. 6.
    Hashempour MM, Lee T-L (2017) Integrated power factor correction and voltage fluctuation mitigation of microgrid using STATCOM. In: 2017 IEEE 3rd international future energy electronics conference and ECCE Asia (IFEEC 2017-ECCE Asia), IEEEGoogle Scholar
  7. 7.
    Kasari PR et al (2017) Analysis of D-STATCOM for power quality enhancement in distribution network. In: TENCON 2017–2017 IEEE region 10 conference, IEEEGoogle Scholar
  8. 8.
    Kumar TA, Rao LS (2017) Improvement of power quality of distribution system using ANN-LMBNN based D-STATCOM. In: 2017 innovations in power and advanced computing technologies (i-PACT), IEEEGoogle Scholar
  9. 9.
    Jayachandran J, Sachithanandam RM (2015) Neural network-based control algorithm for DSTATCOM under nonideal source voltage and varying load conditions. Can J Electr Comput Eng 38(4):307–317Google Scholar
  10. 10.
    Ahmad MT, Kumar N, Singh B (2017) Generalised neural network-based control algorithm for DSTATCOM in distribution systems. IET Power Electron 10(12):1529–1538Google Scholar
  11. 11.
    Tiwa S (2017) Space vector pulse width modulation based two level inverter. Res J Eng Sci 6(8):8–12Google Scholar
  12. 12.
    Dixon J et al (2005) Reactive power compensation technologies: state-of-the-art review. In: Proceedings of the IEEE 93(12):2144–2164Google Scholar
  13. 13.
    Majed A, Salam Z (2015) Multilevel D-STATCOM for sag and swell mitigation using modulation index control. In: 2015 IEEE conference on energy conversion (CENCON), IEEEGoogle Scholar
  14. 14.
    Gaballah M et al (2011) Implementation of space vector-PWM for driving two level voltage source inverters. J Eng Sci Assiut Univ 39(4):871–884Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Mohamad M. Almelian
    • 1
  • Izzeldin I. Mohd
    • 1
    Email author
  • Abu Zaharin Ahmad
    • 1
  • Mohamed A. Omran
    • 1
  • Muhamad Z. Sujod
    • 1
  • N. M. Elasager
    • 2
  • Mohamed Salem
    • 3
  1. 1.Faculty of Electrical and Electronics EngineeringUniversiti Malaysia Pahang (UMP)PekanMalaysia
  2. 2.College of Technical SciencesBani-WalidLibya
  3. 3.School of Electrical and Electronic Engineering, Engineering CampusUniversiti Sains Malaysia (USM)Nibong TebalMalaysia

Personalised recommendations