Robust Low-Carbon Optimal Economic Dispatch for Microgrids with Participation of Industrial Loads and Automatic Generation Control Units
産業負荷と自動発電制御ユニットが参画するマイクログリッドのロバスト低炭素最適経済給電 (AI 翻訳)
Liu H, Shangguan X, Zhang X, Xu D
🤖 gxceed AI 要約
日本語
本論文は、産業負荷と自動発電制御(AGC)ユニットを活用し、風力・太陽光・負荷の不確実性に対処する二段階ロバスト最適化により、マイクログリッドの低炭素経済運用を実現する枠組みを提案する。IEEE-24 RTS系統での検証により、経済コストと炭素コストを削減し、最悪シナリオ下でもシステム運用をバランスできることを示した。
English
This paper proposes a robust low-carbon optimal economic dispatch framework for microgrids that integrates industrial loads and automatic generation control units to enhance flexibility. A two-stage robust optimization addresses uncertainties in renewable generation and load. Case studies on the IEEE-24 RTS system show reduced economic and carbon costs and improved robustness over deterministic methods.
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大量導入に伴い、マイクログリッドの低炭素運用が重要となっている。本論文のロバスト最適化手法は、産業負荷とAGCを活用することで、電力系統の安定性と経済性を両立する実践的な知見を提供する。
In the global GX context
As microgrids proliferate with high renewable penetration, robust dispatch methods that account for uncertainties and include demand-side flexibility are critical for cost-effective decarbonization. This paper provides a rigorous optimization framework that balances economic and carbon costs, relevant for global grid modernization.
👥 読者別の含意
🔬研究者:This paper presents a two-stage robust optimization approach for microgrid dispatch that explicitly models both supply and demand flexibility, offering a methodological contribution for uncertainty handling in low-carbon power systems.
🏢実務担当者:The framework can be adapted by microgrid operators to optimize day-ahead scheduling while hedging against worst-case renewable and load deviations, reducing both operational costs and carbon emissions.
🏛政策担当者:The results highlight the value of integrating industrial load flexibility and AGC units in microgrids, supporting policies that incentivize demand-side participation and automated generation control for renewable integration.
📄 Abstract（原文）
With the increasing penetration of renewable energy sources (RESs), the uncertainty and variability of power generation have posed significant challenges to the economic and stable operation of microgrids. This paper proposes a robust low-carbon optimal economic dispatch framework for microgrids integrating industrial loads and automatic generation control (AGC) units. The framework incorporates AGC units on the supply side and adjustable industrial loads on the demand side to enhance flexibility, while a two-stage robust optimization approach addresses uncertainties in wind, photovoltaic, and load power. Case studies on the IEEE-24 RTS node system demonstrate that the proposed method effectively reduces economic and carbon-related costs, balances system operation under worst-case scenarios, and outperforms deterministic and single-resource optimization schemes.
🔗 Provenance — このレコードを発見したソース
- Research Square https://doi.org/10.22541/authorea.15003235/v1first seen 2026-05-14 21:21:32
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