Agent-based modelling of electricity markets: Integrating actors' perspectives into energy systems analysis
エージェントベースモデリングによる電力市場分析：エネルギーシステム分析における主体の視点の統合 (AI 翻訳)
Felix Nitsch
🤖 gxceed AI 要約
日本語
本稿は、再生可能エネルギー比率の高い欧州の電力市場を対象に、エージェントベースモデリング（ABM）を用いた分析を紹介する。ABMは多様な主体の行動をモデル化し、蓄電などの柔軟性オプションの収益性や市場設計への示唆を提供する。オープンソースモデルAMIRISの開発・維持に関する知見も共有され、エネルギーシステム分析の透明性と再現性向上に貢献する。
English
This paper presents agent-based modelling (ABM) of European electricity markets with high renewable shares. It analyzes the profitability of flexibility options like storage and discusses market design implications. Insights from developing the open-source ABM AMIRIS are shared, aiming to improve transparency and reproducibility in energy systems analysis.
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
日本でも再生可能エネルギー導入拡大に伴い、電力市場の設計や蓄電池の収益性が重要な課題となっている。本稿のABM手法は、日本の市場設計議論や送配電網運用の検討に示唆を与える。
In the global GX context
With increasing variable renewable energy globally, understanding market dynamics and flexibility profitability is critical. This ABM approach offers a transparent, reproducible framework applicable to market design and renewable integration policies worldwide.
👥 読者別の含意
🔬研究者:Provides a robust ABM framework for analyzing electricity markets with high renewables, including open-source tools for reproducibility.
🏢実務担当者:Insights into profitable operation of storage and other flexibility options in volatile renewable-rich markets.
🏛政策担当者:Highlights the importance of market design and actor behavior for successful renewable integration and grid stability.
📄 Abstract（原文）
Electricity markets across Europe are undergoing rapid transformation. Growing shares of wind and solar generation are leading to more volatile prices, increasing curtailment, and rising pressure on electricity grids. These developments are also fuelling debates around negative prices, market design, and renewable expansion policy. Understanding this transition increasingly requires attention not only to technologies and infrastructure, but also to the behaviour of the actors operating within these systems. In this talk, I present selected insights from my research on agent-based modelling (ABM) of electricity markets. ABM represent markets as systems of heterogeneous, interacting actors. These include power plant operators, storage operators, utilities, prosumers, and regulators, each pursuing their own objectives under specific constraints and expectations. After a brief introduction to energy systems analysis, I focus on how storage and other flexibility options can operate profitably in electricity markets with high shares of renewable generation. I also discuss how coupling ABM with complementary modelling approaches can extend their analytical scope and generate richer insights into market dynamics. Alongside this research, I will share insights into the development and maintenance of an open-source modelling infrastructure, including AMIRIS, an electricity market ABM used by a growing international community. This work aims to make energy systems analysis more transparent, reproducible, and accessible beyond individual institutions and research groups. I conclude with an overview of current research directions and opportunities for future collaboration.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.20813770first seen 2026-07-14 04:38:10 · last seen 2026-07-14 04:38:59
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