Vehicle-to-Grid Systems for Renewable Energy Integration: Scheduling, Economics, and User Engagement
再生可能エネルギー統合のためのV2Gシステム：スケジューリング、経済性、ユーザー参加 (AI 翻訳)
Peiying Zhang, Xiangguo Zheng, Yujie Yuan, Xi Chen, Chun Sing Lai
🤖 gxceed AI 要約
日本語
本レビューは、V2G（Vehicle-to-Grid）システムの最新動向を系統的に整理。特に、協調スケジューリング、経済メカニズム、バッテリー劣化、ユーザー参加に焦点を当て、技術基盤、収益性、ビジネスモデル、普及障壁を分析。AIベースのスケジューリングやカーボンアウェアな電力市場など将来方向も提示。
English
This review systematically synthesizes recent advances in Vehicle-to-Grid (V2G) systems for renewable energy integration, focusing on coordinated scheduling, economic mechanisms, battery degradation, and user engagement. It covers technical foundations, revenue streams, business models, and barriers. Future directions include AI-based scheduling and carbon-aware electricity markets.
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
日本では再生可能エネルギーの拡大に伴い、V2Gの実証実験が進んでいる。本レビューは、スケジューリングや経済性、ユーザー受容性など日本事業者が直面する課題を包括的に整理しており、SSBJやグリーン投資の文脈でも有用。
In the global GX context
Globally, V2G is critical for integrating high shares of renewables and balancing grids. This review provides a comprehensive framework for policymakers and utilities to design effective scheduling, pricing, and engagement strategies, aligning with ISSB and transition finance principles.
👥 読者別の含意
🔬研究者:Provides a structured overview of V2G challenges and future research directions, especially in AI scheduling and degradation-aware optimization.
🏢実務担当者:Offers insights on revenue streams, battery degradation costs, and user engagement barriers relevant for V2G project planning.
🏛政策担当者:Summarizes key policy and market barriers for V2G deployment, useful for designing incentive and regulatory frameworks.
📄 Abstract（原文）
With the rapid growth of electric vehicles (EVs) and renewable energy generation, Vehicle-to-Grid (V2G) technology has emerged as a promising approach for transforming EVs from passive charging loads into flexible distributed energy storage resources. By enabling bidirectional power exchange between EV batteries and the power grid, V2G can support renewable energy accommodation, peak shaving, demand response, ancillary services, and local grid balancing. This review provides a systematic synthesis of recent advances in V2G systems for renewable energy integration, with particular emphasis on coordinated scheduling, economic mechanisms, battery degradation, and user engagement. First, the technical foundations of V2G are introduced, including Vehicle-to-Everything operating modes, bidirectional charging architecture, aggregation mechanisms, grid-support services, and renewable accommodation pathways. Second, major scheduling strategies are reviewed, including price-based, load-based, renewable-forecast-driven, centralized, distributed, and hybrid approaches. Third, the economic feasibility of V2G is examined from the perspectives of revenue streams, pricing mechanisms, business models, battery aging costs, and compensation schemes. In addition, user participation barriers, such as range anxiety, battery lifetime concerns, loss of control, uncertain financial returns, and data privacy, are discussed. Key challenges related to communication standards, interoperability, cybersecurity, market access, policy design, and pilot-scale validation are also summarized. Finally, future development directions are identified, including AI-based scheduling, aggregator platforms, fleet-scale V2G, degradation-aware optimization, carbon-aware electricity markets, and user-centered participation mechanisms. This review highlights that large-scale V2G deployment requires the integrated coordination of technical scheduling, economic incentives, battery health protection, and user acceptance in renewable-rich power systems.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/wevj17070349first seen 2026-07-08 05:24:35
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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。