Does Central Planning Fail Locally? Evaluating EV Charging Flexibility Optimization Across Grid Levels
中央計画は局所的に失敗するか？系統レベルを横断したEV充電柔軟性最適化の評価 (AI 翻訳)
Ambra Van Liedekerke, Lorenzo Zapparoli, María Parajeles Herrera, Blazhe Gjorgiev, Gabriela Hug, Giovanni Sansavini
🤖 gxceed AI 要約
日本語
本論文は、EV充電の柔軟性最適化において、送電系統（全国規模）と配電系統（地域規模）の両レベルを考慮した評価を行った。トップダウン方式では、中央計画者の最適解を配電系統の制約と個別運転要件に適合させた。ボトムアップ方式では、配電制約下で電力価格信号を用いた局所最適化を実施。両方式とも無制御充電よりも系統違反を低減し、価格信号が有効な調整メカニズムであることを示した。
English
This paper evaluates EV charging flexibility optimization across transmission and distribution grid levels. It compares a top-down approach that disaggregates centrally optimized charging to distribution grids with a bottom-up approach using price signals. Both approaches reduce grid violations compared to uncontrolled charging, and price signals are shown to be an effective coordination mechanism, suggesting centralized optimization remains viable when implemented locally.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本ではEV普及と再生可能エネルギー導入が進む中、配電系統での電圧・過負荷問題が顕在化している。本論文の成果は、全国単位の充電計画と地域の系統制約を調和させる手法を提供し、日本の配電系統運用者や充電インフラ計画にとって実践的な示唆を与える。
In the global GX context
Globally, with rising EV adoption and renewable energy integration, coordinating charging across grid levels is critical. This paper demonstrates that price signals can effectively align local and system-wide optimization, offering a scalable coordination mechanism for power systems with high DER penetration.
👥 読者別の含意
🔬研究者:Provides a methodological framework for integrating transmission and distribution-level optimization of EV charging, with empirical comparison of control approaches.
🏢実務担当者:Offers insights for grid operators and charging infrastructure planners on using price signals to manage EV charging without causing local grid issues.
🏛政策担当者:Relevant for designing EV charging policies and market mechanisms that ensure grid reliability while enabling high renewable energy shares.
📄 Abstract（原文）
Electric vehicles (EVs) are a key enabler of global decarbonization, and their charging flexibility is crucial for integrating high shares of renewable energy into future power systems. Research on EV charging flexibility in future power systems has largely focused on either the transmission or the distribution level, with limited integration between the two. However, these two scales cannot be separated: EV charging optimized at the national transmission level for system-wide planning is ultimately activated in local distribution grids, where it may cause voltage and loading issues. This study bridges that gap by evaluating EV charging flexibility across both grid levels, using two different control approaches. First, a top-down approach disaggregates the optimal charging demand obtained from a centralized planner at the transmission grid down to the distribution grid, explicitly accounting for grid constraints and individual driving requirements. Second, a bottom-up approach optimizes EV charging locally under distribution-grid constraints using electricity price signals from the centralized planning model. Controlled charging from the top-down and bottom-up approaches is then compared with uncontrolled charging. Results show that the top-down approach produces EV charging schedules that are compatible with individual driving behavior and reduce grid violations compared to uncontrolled charging. The bottom-up approach identifies an optimal profile similar to the centrally optimized profile, showing that electricity price signals are a suitable coordination mechanism. These findings suggest that centrally optimized EV charging remains effective when implemented at the distribution level, in systems with high DER penetration.
🔗 Provenance — このレコードを発見したソース
- arXiv https://arxiv.org/abs/2607.24423first seen 2026-07-28 04:12:08
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