Electricity Price-Driven Optimization of Pumped-Storage Hydropower Plant Performance
電力価格駆動型揚水発電所の性能最適化 (AI 翻訳)
Andraž Roger, Matej Fike
🤖 gxceed AI 要約
日本語
スロベニアの実市場データを用いて、揚水発電所の短期的経済最適化をMILPモデルで分析。価格変動や負の価格イベントに応答することで市場ベースの収益が可能であることを示し、特に夏季の太陽光過剰生産時に高い収益を確認。再生可能エネルギー統合と系統柔軟性の向上に寄与。
English
This paper optimizes short-term dispatch of a pumped-storage hydropower plant using MILP with actual 2024 day-ahead prices from Slovenia. Results show positive operating results by responding to price volatility and negative prices, with higher revenues in summer due to solar overproduction. The study supports grid flexibility and renewable integration.
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拡大に伴う調整力確保が重要課題。揚水発電は既存の大規模貯蔵技術として評価され、本論文の市場連動型最適化手法は日本の電力市場（JEPX）にも応用可能。特にFIT制度からの移行期に、蓄電設備の収益性評価に示唆を与える。
In the global GX context
As renewables increase, grid-scale storage like pumped hydro becomes critical for balancing. This paper's market-based optimization framework is relevant globally for integrating storage into electricity markets. The methodology can inform storage dispatch strategies in regions with high solar penetration and negative pricing events, such as California or Germany.
👥 読者別の含意
🔬研究者:The MILP model with technical constraints offers a replicable approach for short-term storage optimization in any liberalized market.
🏢実務担当者:Provides a framework for pumped hydro operators to maximize revenue from day-ahead markets, especially in volatile price environments.
🏛政策担当者:Demonstrates the economic viability of pumped hydro as a flexibility resource, supporting policies for energy storage deployment.
📄 Abstract（原文）
Pumped hydro storage remains one of the most established technologies for balancing supply and demand in electricity markets with high shares of renewable energy. This paper investigates the short-term economic optimization of a pumped hydro storage plant operating under real day-ahead market conditions. A Mixed-Integer Linear Programming model is used to optimize hourly dispatch decisions based on actual day-ahead electricity prices in Slovenia for the year 2024. The model accounts for technical constraints, including turbine and pump capacities, round-trip efficiency, energy storage limits, and restricted startup frequencies. The simulation results show that pumped hydro storage can achieve a positive market-based operating result by responding effectively to price volatility and frequent negative pricing events. Seasonal variations reveal higher revenues during summer months due to solar overproduction. The findings confirm the potential of pumped hydro storage to enhance grid flexibility and support the implementation of national energy transition objectives. By linking large-scale energy storage operations with renewable energy integration, grid flexibility, and market-based dispatch, the study also contributes to the technical and economic dimensions of sustainable energy system development.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su18136805first seen 2026-07-28 04:57:37
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