Comprehensive Overview of Virtual Power Plants: Integration of Distributed Energy Resources into Power Systems in Terms of Aggregation, Application, and Innovation
バーチャルパワープラントの包括的概要:集約、応用、革新の観点からの分散型エネルギーリソースの電力システムへの統合 (AI 翻訳)
Cihan Ayhancı, Bedri Kekezoğlu, Ali Durusu
🤖 gxceed AI 要約
日本語
本レビューは、分散型エネルギーリソース(DER)を統合するバーチャルパワープラント(VPP)の技術的・商業的枠組みを包括的に分析。需要応答、市場構造、ゲーム理論、マルチキャリアエネルギーシステムなどの要素を評価し、炭素排出削減とコスト最適化の課題に取り組む。さらに、電力・熱・水素ベクトルを結合するセクターカップリングがグリッドバランスとカーボンフットプリント低減に有効であることを示す。
English
This comprehensive literature review dissects Virtual Power Plants (VPPs) as a key mechanism for integrating distributed energy resources into power systems. It evaluates technical and commercial frameworks, demand response, market structures, and game-theoretic behaviors, addressing challenges like carbon reduction and cost optimization. The study highlights sector coupling across electricity, thermal, and hydrogen vectors as a pathway to enhance grid balance and reduce carbon footprint.
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導入拡大に伴い、VPPは系統安定化と需要調整の有望な手段として注目されている。本レビューは、技術的・制度的課題を整理し、今後の実証実験や政策設計に示唆を与える。
In the global GX context
Globally, VPPs are increasingly recognized as essential for integrating high shares of renewables and enabling smart grids. This review provides a structured overview of technical and market mechanisms, offering a valuable reference for researchers and policymakers advancing decentralized energy systems.
👥 読者別の含意
🔬研究者:Provides a comprehensive taxonomy and analysis of VPP frameworks, serving as a foundation for further research in optimization and sector coupling.
🏢実務担当者:Offers insights into VPP architectures and market design that can inform pilot projects and operational strategies for DER aggregation.
🏛政策担当者:Highlights regulatory and market design considerations for enabling VPP participation and ensuring grid reliability.
📄 Abstract(原文)
As modern power systems undergo a paradigm shift toward decentralization, driven by substantial investments in Distributed Energy Resources (DERs), Virtual Power Plants (VPPs) have emerged as the primary mechanism for their effective technical and commercial integration. This paper provides a seminal and comprehensive literature review, dissecting the VPP ecosystem through operational, infrastructural, and coordination strategy perspectives. By categorizing VPPs into distinct technical and commercial frameworks, this study critically evaluates their role in optimizing smart grid components, including demand response, multifaceted market structures, cooperative game-theoretic behaviors, and multi-carrier energy systems. The analysis transcends basic infrastructure, focusing on the resolution of fundamental challenges: mitigating carbon emissions and energy costs, characterizing generation uncertainty and asynchrony, and maintaining the dynamic equilibrium between supply and demand. Furthermore, the review explores advanced strategies for incentivizing prosumer engagement, enhancing market pricing transparency, and ensuring transaction integrity within rigorous operational constraints. A significant methodological evolution is identified, highlighting the transition toward advanced mathematical frameworks and data-driven optimization techniques designed to enhance system resilience and operational stability under multifaceted uncertainties. The synthesis reveals that VPP-led sector coupling integrating electricity, thermal, and hydrogen vectors provides a robust pathway for minimizing grid imbalances and diminishing the overall carbon footprint. By evaluating the subject through a multidimensional lens (technical, economic, environmental, and regulatory) this study serves as a critical reference and strategic roadmap for researchers, planners, and policymakers aiming to navigate the complexities of future smart grids and build a sustainable energy ecosystem.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/en19102311first seen 2026-05-31 04:32:12 · last seen 2026-06-03 04:44:12
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