Optimization scheduling of shared energy storage for industrial customers in the electricity-green certificate coupled market
産業顧客向け共有エネルギー貯蔵の電力・グリーン証書連動市場における最適運用スケジューリング (AI 翻訳)
Chen Zhao, Zhentao Jiao, Xiaopeng Wu, Zhenxiang Wen, Furui Li
🤖 gxceed AI 要約
日本語
本研究は、電力・グリーン証書連動市場において産業顧客の共有エネルギー貯蔵を最適にスケジューリングする戦略を提案する。Stackelbergゲームに基づく枠組みで、小売業者と顧客の相互作用をモデル化し、上限では小売業者の価格・販売戦略を、下限ではグリーン証書取引を導入して顧客コストを最小化する。GA-CPLEXハイブリッドアルゴリズムで解き、実事例で有効性を確認した。
English
This study proposes a strategy for optimal scheduling of industrial customers' shared energy storage in a coupled electricity-green certificate market. A Stackelberg game models retailer-customer interaction: upper level optimizes retailer pricing/sales, lower level introduces green certificate trading to minimize customer costs and promote storage engagement. Solved by GA-CPLEX hybrid algorithm, a real-world case demonstrates effectiveness in mitigating renewable fluctuations and economic benefits.
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FIP制度やグリーン証書市場が拡大しており、産業需要家の蓄電シェアリングは需要の柔軟性を高める。本論文のStackelbergゲームモデルは、小売・需要家間の価格設計と証書取引を統合した点で、日本の次世代市場設計に示唆を与える。
In the global GX context
Globally, renewable portfolio standards and green certificate markets are common. This paper offers a market design integrating storage scheduling with green certificates using a Stackelberg game, which is applicable to many countries' energy transition challenges. It provides a quantitative framework for policymakers and retailers to enhance renewable integration and storage profitability.
👥 読者別の含意
🔬研究者:Game-theoretic optimization for coupled energy and green certificate markets; hybrid GA-CPLEX solver.
🏢実務担当者:Industrial customers and energy retailers can apply the scheduling model for cost savings and storage monetization.
🏛政策担当者:Insights on market design for integrating shared storage with green certificate trading to support renewables.
📄 Abstract（原文）
To support carbon peak and neutrality goals, renewable energy deployment has been rapidly expanded. However, the intermittency and volatility of wind and solar power challenge grid stability. This study proposes a novel strategy for optimal scheduling of industrial customers’ shared energy storage in a coupled electricity-green certificate market to improve renewable energy integration. A Stackelberg game-based framework models the retailer-customers interaction. The upper level optimizes the retailer’s pricing and sales strategy to maximize profit, while the lower level introduces green certificate trading to minimize customers’ costs and promote storage engagement. The model is solved using a GA-CPLEX hybrid algorithm, and a real-world case demonstrates its effectiveness in mitigating renewable fluctuations and delivering economic benefits.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1088/1742-6596/3192/1/012028first seen 2026-05-15 19:48:31
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