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Paper ID:IJSREM54157

Performance Evaluation of a Grid Connected Hybrid Microgrid Using ANN Based PWM Control

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM54157

Volume:

9 |

11 |

Nov 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM54157

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

KJR

Karanam Jagadeeswara Rao1

BVR

B Venkata Ramana2

PM

Potta Madhavi3

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Abstract

The proposed work presents a performance analysis of a grid-connected hybrid microgrid integrating wind and solar energy sources. The system enables optimal utilization of renewable resources through adaptive MPPT control combined with the conventional perturb and observe method. Depending on resource availability, the wind and solar units can supply the load individually or simultaneously. In the wind subsystem, turbine rotor speed governs mechanical power extraction, while in the solar subsystem, the operating voltage of the PV array determines output power. A Permanent Magnet Synchronous Generator (PMSG) is coupled with the wind turbine for efficient energy conversion. The inverter converts the DC outputs of both renewable sources into usable AC power for grid connection. To minimize harmonic distortion, an ANN-based PWM control strategy is employed. Simulation results validate the operational feasibility, effective power transfer, and reliability of the hybrid system under normal environmental conditions.

KEYWORDS

Hybrid Microgrid Adaptive MPPT PMSG Wind Energy System ANN-Based PWM Control Wind–Solar Integration.

Cite This Article

Karanam Jagadeeswara Rao1, B Venkata Ramana2, Potta Madhavi3, "Performance Evaluation of a Grid Connected Hybrid Microgrid Using ANN Based PWM Control," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 11, Nov 2025. https://doi.org/10.55041/IJSREM54157

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Publication Date

11/18/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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