An intelligent incentive-based demand response program for exhaustive environment constrained techno-economic analysis of microgrid system
2025

Incentive-Based Demand Response for Microgrid Systems

publication Evidence: high

Author Information

Author(s): Dey Bishwajit, Sharma Gulshan, Bokoro Pitshou N., Dutta Soham

Primary Institution: Manipal Academy of Higher Education, Manipal

Hypothesis

Can an incentive-based demand response program effectively reduce emissions and generation costs in microgrid systems?

Conclusion

The implementation of an incentive-based demand response program can significantly lower generation costs and emissions in microgrid systems.

Supporting Evidence

  • The generating cost decreased by 10-13% with the inclusion of the incentive-based demand response program.
  • A 6-8% reduction in peak demand and a 4-5% improvement in load factor were observed.
  • The study analyzed six different scenarios to evaluate the impact of various grid participation and market pricing approaches.

Takeaway

This study shows that giving rewards to people for using less energy during busy times can help save money and reduce pollution.

Methodology

The study used a differential evolution algorithm to optimize the scheduling of distributed energy resources in a microgrid under various scenarios.

Limitations

The study does not include the impact of battery energy storage systems or plug-in hybrid electric vehicles, which could affect the optimization results.

Participant Demographics

30-40% of microgrid customers were willing to participate in the demand response program.

Digital Object Identifier (DOI)

10.1038/s41598-025-85175-z

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