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Comparative analysis of controllers for stability enhancement for wind energy system with STATCOM in the grid connected environment

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  • Mohamed Faroug, M. Alfaki
  • Rao, Dasari Narasimha
  • Samikannu, Ravi
  • Venkatachary, Sampath Kumar
  • Senthilnathan, Karthikrajan

Abstract

The growing energy demand places its focus on renewable energy resources as a sustainable energy resource. Wind Power is one of the important sources of renewable energy. However, it exhibits challenges in the form of stability and control when integrating with the conventional grid. Though the connection of wind power plants does not require any major redesign, it is, however, necessary to ensure that issues are taken care of through control and compensative devices, to enable the grid to recover from grid faults and system disturbances. One such proposal is discussed here. This paper analyses the design and implementation of Proportional-Integral (PI) controlled Static Synchronous Compensator (STATCOM) controllers and is compared with Fuzzy Logic Controlled(FLC) STATCOM controllers. These controllers are primarily used to stabilize the voltage in wind power plants by preventing tripping of Wind Generators (WG) in the event of a grid side disturbance or fault and can recover from the fault by injecting reactive power in the grid. This paper applies STATCOM for restoring the voltage levels at the terminals of the wind power plants and simulated using MATLAB Simulink. It is observed from the simulation results, that STATCOM with fuzzy logic controls tends to reduce the voltage fluctuation and ensure the stability of the system as compared to STATCOM with PI.

Suggested Citation

  • Mohamed Faroug, M. Alfaki & Rao, Dasari Narasimha & Samikannu, Ravi & Venkatachary, Sampath Kumar & Senthilnathan, Karthikrajan, 2020. "Comparative analysis of controllers for stability enhancement for wind energy system with STATCOM in the grid connected environment," Renewable Energy, Elsevier, vol. 162(C), pages 2408-2442.
    • Handle: RePEc:eee:renene:v:162:y:2020:i:c:p:2408-2442
    DOI: 10.1016/j.renene.2020.06.044
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    References listed on IDEAS

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    1. Sampath Kumar Venkatachary & Jagdish Prasad & Ravi Samikannu, 2017. "Cost Optimization of Micro grids Using Homer: A Case Study in Botswana," International Journal of Energy Economics and Policy, Econjournals, vol. 7(5), pages 323-339.
    2. Fathima, A. Hina & Palanisamy, K., 2015. "Optimization in microgrids with hybrid energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 431-446.
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    1. Musawenkosi Lethumcebo Thanduxolo Zulu & Rudiren Pillay Carpanen & Remy Tiako, 2023. "A Comprehensive Review: Study of Artificial Intelligence Optimization Technique Applications in a Hybrid Microgrid at Times of Fault Outbreaks," Energies, MDPI, vol. 16(4), pages 1-32, February.
    2. Vargas, Uriel & Lazaroiu, George Cristian & Ramirez, Abner, 2021. "Stability assessment of a stand-alone wind-photovoltaic-battery system via Floquet Theory," Renewable Energy, Elsevier, vol. 171(C), pages 149-158.

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