Netload Range Cost Curves for Coordinated Transmission-Distribution Planning Under DER Growth Uncertainty
School authors:
author photo
Samuel Cordova
External authors:
  • Yujia Li ( Lawrence Berkeley National Laboratory )
  • Alexandre Moreira ( Lawrence Berkeley National Laboratory )
  • Miguel Heleno ( Lawrence Berkeley National Laboratory )
Abstract:

The increasing penetration of distributed energy resources (DERs) requires better coordination between transmission and distribution (T&D) planning to ensure system security and cost efficiency. However, misaligned planning horizons, computational burdens, and privacy concerns hinder effective coordination, leading to either underutilized resources caused by overinvestments or reliability risks due to underinvestment. To address this challenge, we introduce netload range cost curves (NRCCs), a novel approach for managing long-term DER growth uncertainty through T&D coordination, while preserving existing data-sharing and regulatory structures. NRCCs provide pairs of (i) peak substation netload guarantees and (ii) corresponding distribution upgrade options and costs, enabling their seamless integration into transmission planning workflows. To compute NRCCs efficiently, we develop a transmission-aware distribution network planning (TADNP), which is subsequently integrated to an iterative computation procedure. These NRCCs are then embedded into an NRCC-informed transmission planning model to enable resource-efficient coordination. We illustrate our proposed approach with a case study based on realistic distribution and transmission systems in the San Francisco Bay Area, California. Our results indicate the possibility of dramatic savings in transmission investments by incorporating the proposed NRCC-integrated T&D coordination framework.

UT WOS:001718555600009
Number of Citations 2
Type
Pages 25-39
ISSUE 1
Volume 4
Month of Publication MAR
Year of Publication 2026
DOI https://doi.org/10.1109/TEMPR.2025.3638837
ISSN
ISBN