Energy Management of Hybrid power generation with ANFIS Controller

The energy management of hybrid power generation with an intelligent Adaptive neuro-fuzzy inference system (ANFIS) is presented in this research article. To reach the power demand of the world, the integration of renewable energy sources (RES) is needed. For a few decades, the power-sharing of photo voltaic (PV) and the wind is growing high due to its inherent properties. The prime issue of the interconnection of these RES it needs PID controller-based power converters. Where the PID controller provides fixed performance and prohibited desired closed-loop response. To overcome this issue self-auto-tuning PID control techniques are adopted. This proposed ANFIS controller operates the voltage source converters (VSC) well and gives satisfactory performance. To extract more power from solar P&O maximum power point tracking (MPPT) approach is considered. The PMSG wind generator is employed to produce more power from wind energy.

• Publication year

  2022

• Venue

  2022 Sardar Patel International Conference on Industry 4.0 - Nascent Technologies and Sustainability for 'Make in India' Initiative

• Publication date

  2022-12-22

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1109/SPICON56577.2022.10180579
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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