Generation Capacity Interval Planning Considering Security, Economy, and Environmental Sustainability
安全性、経済性、環境持続可能性を考慮した発電容量区間計画 (AI 翻訳)
Xinyu Ren, Mingqiang Wang, Jingwen Wang, Jialiang Wang, Chang Xu, Zihan Wang
🤖 gxceed AI 要約
日本語
本論文は、風力発電の出力不確実性に対応するため、区間線形計画法を用いた発電容量計画モデルを提案。楽観的・悲観的シナリオの下で風力と火力の最適容量区間を決定し、数値実験によりシステムの安全性と経済性・環境持続可能性のバランスを実証した。
English
This paper develops an interval-parameter generation capacity planning model to handle uncertainties from high renewable penetration. Using interval linear programming, it determines optimal capacity intervals for wind and thermal power under optimistic and pessimistic scenarios. Numerical results show the model maintains system security while balancing economic and environmental objectives.
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拡大に伴い系統安定性が課題となっている。本手法は、供給信頼性と脱炭素化のトレードオフを定量的に評価する枠組みを提供し、電源構成の最適化に貢献する。
In the global GX context
Globally, this work addresses generation expansion planning under deep uncertainty from renewables. It provides a decision-making framework that helps system operators balance security, economy, and sustainability, relevant for regions with high renewable targets.
👥 読者別の含意
🔬研究者:Researchers in power system planning can adopt the interval optimization approach to handle renewable uncertainty in capacity expansion models.
🏢実務担当者:Utility planners can use the proposed intervals to evaluate trade-offs between security and decarbonization investments.
🏛政策担当者:Energy regulators can reference this method to design reliability frameworks that accommodate high renewable shares.
📄 Abstract（原文）
Traditional generation expansion planning, which relies on deterministic forecasts, is increasingly challenged by the severe uncertainties introduced by high penetrations of renewable energy. As the fluctuation amplitude of wind power intensifies, forecasting errors have increased significantly. Consequently, conventional methodologies struggle to maintain a balance between the security baseline under extreme operating conditions and the pursuit of low-carbon objectives. In this study, an interval-parameter generation capacity planning model is developed, accounting for security, economy, and environmental sustainability. To address the interval uncertainty of wind power output, a solution framework based on interval linear programming (ILP) is proposed. By constructing optimistic and pessimistic scenarios, the optimal construction capacity intervals for both wind and thermal power units are determined. Through the application of novel affine arithmetic strategy and robust dual transformation, the proposed model is reformulated into a mixed-integer linear programming (MILP) problem, which can be efficiently solved using commercial optimization solvers. Numerical results demonstrate that the proposed model effectively establishes physical boundaries to ensure system security under worst-case conditions, thereby providing decision-makers with versatile strategies that balance economic efficiency, operational security, and environmental sustainability across varying risk preferences.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1109/aeees69423.2026.11556873first seen 2026-07-02 06:24:18
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