炭素排出制約下における電力系統の低炭素運用のためのマルチタイムスケール最適化制御手法

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:炭素制約を組み込んだ多時間スケール系統最適化のモデル設計と制約体系の参考になる。

🏢実務担当者:再エネ統合率向上と排出上限管理を両立する運用制御の設計指針として活用可能。

🏛政策担当者:電力部門の脱炭素政策において、系統運用レベルでの炭素制約導入の実効性を示す。

Abstract Relying on fixed scheduling rules to allocate power plant output can only barely maintain a basic balance between electricity supply and demand, resulting in inefficient grid control. Therefore, this study investigates multi-timescale optimization control methods for low-carbon grid operation under carbon emission constraints. A multi-scale optimization model was constructed, incorporating a multi-objective function that balances economic, low-carbon, and safety objectives, along with a four-category constraint system that includes carbon emissions. A three-tiered collaborative control strategy—comprising day-ahead, day-ahead-to-intraday, and real-time control—was adopted. Day-ahead scheduling provides baseline instructions; day-ahead-to-intraday rolling adjustments correct prediction errors; and real-time control smooths out second-level fluctuations while ensuring that instantaneous carbon emissions do not exceed limits. This multi-scale, bidirectional collaborative mechanism achieves optimized control. Experiments demonstrate that this method reduces total carbon emissions to as low as approximately 0.18 million tons per hour during peak renewable energy generation periods. Under load conditions of 5,000 MW and 7,000 MW, the renewable energy integration rates reach 98% and 99%, respectively, with an average control response time of 2.5 seconds, effectively enhancing the efficiency of power grid control.

• openalex https://doi.org/10.1088/1742-6596/3316/1/012005first seen 2026-09-17 04:48:52