August 19, 2025INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTOpen Access

Residential Community Load Management Based on Optimal Design of Standalone Hybrid Renewable Energy Systems with PV wind Battery by Implementing Model Predictive Control.

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Authors

DMDeepali Gangadhar Magirwad PKProf Mr.Jagdish kayasth

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Implication

Techno-economic analysis shows hybrid systems with solar and wind power improve energy access in remote communities, indicating significant cost reductions.

Key Points

HRES with PV-wind-battery achieved a reduction in costs by 81.65% while fulfilling 100% of energy demand, providing significant economic benefits.
Simulation indicated a cost of energy at $0.311/kWh and net present cost of $28,620 for the optimal design, highlighting affordability in rural electrification.
MATLAB modeling confirmed effective voltage control and active power balance, with total harmonic distortion of 0.30%, showing reliability over conventional systems.
This approach supports the transition to sustainable energy solutions, emphasizing reduced emissions and efficient energy management in distributed generation systems.

Cite This Study

Magirwad et al. (2025) studied this question.

synapsesocial.com/papers/68af35e3cf1dd9ea359ea029 https://doi.org/10.55041/ijsrem51871

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Implication

Techno-economic analysis shows hybrid systems with solar and wind power improve energy access in remote communities, indicating significant cost reductions.

Residential Community Load Management Based on Optimal Design of Standalone Hybrid Renewable Energy Systems with PV wind Battery by Implementing Model Predictive Control.

Discussion

Member takes

Implication

Key Points

Cite This Study

Residential Community Load Management Based on Optimal Design of Standalone Hybrid Renewable Energy Systems with PV wind Battery by Implementing Model Predictive Control.

Discussion

Member takes

Implication

Key Points

Cite This Study

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