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Updated: May 16, 2025

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Risk-aware electricity dispatch with large-scale distributed renewable integration under climate extremes.

Luo Xu1,2, Hongtai Zeng3, Ning Lin1,2

  • 1Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544.

Proceedings of the National Academy of Sciences of the United States of America
|May 14, 2025
PubMed
Summary
This summary is machine-generated.

A new model, REDUCER, manages risks in power distribution networks with renewable energy during extreme weather. It cuts operational costs by 30% and improves grid resilience against climate challenges.

Keywords:
climate extremesdistribution networkselectricity dispatchpower systemsrenewable energy

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Area of Science:

  • Electrical Engineering
  • Climate Science
  • Operations Research

Background:

  • Distribution networks are vulnerable to climate extremes like hurricanes, especially with high renewable energy integration.
  • Current dispatch methods neglect spatiotemporal risks in distribution networks, leading to power imbalances.
  • Increasing climate extremes and distributed renewables necessitate advanced risk management strategies.

Purpose of the Study:

  • To develop a risk-aware electricity dispatch model for distribution networks facing climate extremes and renewable integration.
  • To enhance the management of spatiotemporal risks in day-ahead electricity dispatch.
  • To reduce operational costs and improve grid resilience.

Main Methods:

  • Introduced the Risk-aware Electricity Dispatch under Climate Extremes with Renewable integration (REDUCER) model.
  • Incorporated high-resolution spatiotemporal risk analysis for distribution networks.
  • Utilized an Entropic Value-at-Risk-constrained mixed-integer convex optimization framework.

Main Results:

  • Applied to the 2022 Puerto Rico grid during Hurricane Fiona, REDUCER effectively managed risks.
  • Reduced reliance on additional flexibility resources for power imbalance management.
  • Decreased operational costs by approximately 30% compared to standard strategies in extreme scenarios.
  • Effectively managed net demand variability from distributed solar integration while maintaining low operational costs.

Conclusions:

  • REDUCER offers a practical solution for cost-effective and resilient electricity dispatch.
  • The model addresses critical gaps in managing distribution network risks under climate extremes and renewable integration.
  • It provides a robust framework for modern power systems facing evolving challenges.