z-logo
open-access-imgOpen Access
Minimum EVCS Aggregation Requirements for Reliable Customer Baseline Load in Electricity Markets
Author(s) -
Yongwoo Jee,
Jinho Kim
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3596545
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
The electrification of the transportation sector, driven by decarbonization policies, can significantly impact power demand patterns. Strategically integrated electric vehicles (EVs) can serve as flexible grid resources by enabling load shifting, voltage regulation, and frequency stabilization. In particular, to evaluate their potential participation in the wholesale electricity market, it is essential to assess whether aggregated electric vehicle charging stations (EVCSs) meet the eligibility and reliability criteria required for existing demand response (DR) programs. This study analyzes the reliability of aggregated EVCSs based on their aggregation level using an average-based Customer Baseline Load (CBL) method, performance metrics such as RRMSE and RMAE, and a two-stage random sampling approach. The analysis utilizes load data from 873 EVCSs located in Jeju, Korea, as of 2023. The results show that as the level of aggregation increases, both RRMSE and RMAE decrease, significantly reducing CBL estimation errors. Furthermore, it was confirmed that aggregating EVCSs beyond 10 MW of capacity or 500kWh of average hourly load achieves reliability levels comparable to those of traditional DR resources. These findings provide a practical foundation for the integration of EV-based loads into wholesale market participation and grid control strategies, while contributing to the development of CBL methods and evaluation metrics for small-scale resources.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom