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A Price-Priority EV Charging Scheduling and Settlement Framework

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2025, 30(11), pp.249~257
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : October 1, 2025
  • Accepted : October 24, 2025
  • Published : November 28, 2025

Seunghyun Kim 1 Yeong-Jun Choi 1

1제주대학교

Accredited

ABSTRACT

This study presents a supply-side Virtual Power Plant (VPP) operation strategy integrating wind generation, electric-vehicle (EV) charging, and Power Purchase Agreements (PPA) based on measured data from Jeju Island. A session-based price-priority scheduling model was combined with a settlement and profit-allocation framework that includes the System Marginal Price (SMP), Renewable Energy Certificates (REC), Time-of-Use (TOU) tariffs, PPA prices, network charges, and transmission losses. By prioritizing charging during low or negative SMP periods, procurement costs were reduced. The Fixed charging energy scenario exhibited monthly profit stability, while the Seasonal charging energy scenario achieved higher absolute profits due to increased charging energy and REC revenues during peak months. The Integrated Operation Model improved overall profit stability, whereas the Individual Operation Model favored generators’ direct gains from PPA and REC. Profit sensitivity analysis revealed stabilization near 130 KRW/kWh, confirming that contract structure is a key determinant of profitability and risk allocation among VPP participants.

Citation status

* References for papers published after 2024 are currently being built.