電気自動車充電の影響 - エージェントベースアプローチ
Impact of electric vehicle charging - An agent-based approach (原題)
Plagowski, Patrick, Saprykin, Aleksandr, id_orcid:0 000-0002-7880-1807, Chokani, Ndaona, Shokrollah-Abhari, Reza
🤖 gxceed AI 要約
日本語
スイスのチューリッヒ州の実配電網（12,000バス、9,800電力線、398,000需要家）を対象に、エージェントベース交通シミュレーションと電力潮流計算を結合し、BEVシェア8.5%時の充電負荷が配電線に与える影響を定量評価。最悪シナリオではピーク負荷が定格の132%に達し、低圧配電網で過負荷リスクが高いことを示した。個別配電網ごとの評価の重要性を指摘。
English
This study couples agent-based traffic simulation with power flow analysis to quantify the impact of 8.5% BEV charging on a real distribution grid in Zurich, Switzerland. Results show peak line loads up to 132% of rated capacity in critical scenarios, highlighting overload risks in low-voltage grids. The authors emphasize the need for grid-specific assessments to manage energy transition risks.
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普及に伴う配電網への影響が課題となっており、系統増強計画や分散型電源導入の検討に示唆を与える。特に、低圧配電網のボトルネック評価は、日本の配電事業者や自治体の計画に参考となる。
In the global GX context
This research provides a methodological framework for assessing grid impacts of EV adoption, relevant to global energy transition discussions. It underscores the need for grid-specific planning to avoid overloads, aligning with international efforts to integrate EVs into distribution systems.
👥 読者別の含意
🔬研究者:Provides a coupled simulation approach for EV-grid interaction, useful for further studies on grid resilience.
🏢実務担当者:Highlights the importance of grid-specific impact assessments for EV charging infrastructure planning.
🏛政策担当者:Informs policies on EV adoption targets and grid investment needs.
📄 Abstract（原文）
Several European countries have launched programs to increase the market penetration of battery electric vehicles (BEV). Similarly, politicians in Switzerland have targeted a 15% BEV share of new car registrations by 2022. As each electric car increases the power demand, new challenges are posed to the operation of existing distribution grid infrastructure. Here, a new bottom-up physical approach is presented that couples agent-based traffic simulations through an unsteady vehicle power consumption model with distribution grid power flow simulations. The impacts on hourly powerline loads from charging a car fleet with an 8.5% BEV share are quantified in the real distribution grid for the canton of Zurich. The grid is composed of 12,000 buses and 9,800 powerlines, providing power to 398,000 individual customers. Results indicate that the risk of overloaded powerlines is highest in low-level distribution grids. In our most critical future scenario, with simultaneous 8.5% BEV charging at 8 pm with 11 kW, peak line loads reach up to 132% of rated capacity. Hence, in a potential energy transition towards a decarbonised future, each individual distribution grid could face critical loads at specific temporal and spatial bottlenecks. Thus, grids should be assessed individually to limit uncertainties and risks of critical power system situations. ; ISSN:1751-8695 ; ISSN:1751-8687 ; ISSN:1751-8687
🔗 Provenance — このレコードを発見したソース
- base https://hdl.handle.net/20.500.11850/494912first seen 2026-09-01 12:06:41
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。