Low-Carbon Unit Commitment with Pumped Storage Hydropower under High Solar PV Penetration Using Mixed-Integer Nonlinear Programming
高太陽光発電導入下における揚水発電を用いた低炭素ユニットコミットメント：混合整数非線形計画法によるアプローチ (AI 翻訳)
Ramdhan Halid Siregar, Rakhmad Syafutra Lubis, Akhyar, Muhammad Nurul Hadi
🤖 gxceed AI 要約
日本語
本研究は、高太陽光発電(PV)導入時のダックカーブ問題に対応するため、揚水発電(PSH)を統合した低炭素ユニットコミットメント(UC)モデルを提案する。混合整数非線形計画法(MINLP)で定式化し、PythonとSCIPソルバーを用いて10台の火力、4つのPV、4つのPSHからなるシステムで24時間シミュレーションを実施。結果、PSHの導入はコスト削減に寄与するが排出量は微増し、炭素考慮最適化と組み合わせることで経済性と排出のバランスが取れることを示す。
English
This study proposes a low-carbon unit commitment model integrating pumped storage hydropower (PSH) to address the duck curve issue from high solar PV penetration. Formulated as mixed-integer nonlinear programming (MINLP) and solved with Python/SCIP for a 10-thermal, 4-PV, 4-PSH system over 24 hours. Results show PSH reduces cost but slightly increases emissions; carbon-aware optimization provides a balanced trade-off between cost and emissions.
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
日本でも太陽光発電の急増に伴い、揚水発電の役割が再評価されている。本論文は、コストと排出のトレードオフを定量的に示し、日本の電力系統運用における揚水活用の技術的示唆を提供する。
In the global GX context
This work contributes to the global discourse on integrating variable renewables and storage for low-carbon power systems. The model's trade-off analysis between cost and emissions is relevant for system operators and policymakers worldwide, especially in regions with high solar penetration.
👥 読者別の含意
🔬研究者:This paper presents a MINLP formulation for unit commitment with PSH and carbon costs, useful for energy system modelers.
🏢実務担当者:Offers insights for utility operators on balancing cost and emissions when integrating solar and pumped storage.
🏛政策担当者:Provides quantitative evidence on the benefits of pumped storage for enhancing flexibility in high-PV systems.
📄 Abstract（原文）
High Photovoltaic (PV) penetration introduces operational challenges in power systems, particularly the duck curve phenomenon, which increases ramping requirements for thermal generators. This study proposes a low-carbon Unit Commitment (UC) model formulated as a Mixed Integer Nonlinear Programming (MINLP) problem integrating Pumped Storage Hydropower (PSH). The objective function simultaneously considers fuel cost, startup cost, and carbon emission cost. The model is implemented in Python and solved using the SCIP solver over a 24-hour scheduling horizon for a system consisting of ten thermal units, four PV farms, and four PSH units. Simulation results show that the baseline scenario results in a total operating cost of $342,083.98 with carbon emissions of 172.02 t. The integration of PSH reduces the operating cost to $334,436.20 but slightly increases emissions to 176.09 t. When carbon-aware optimization is combined with PSH, the total cost becomes $336,102.74 with emissions of 173.60 t. Although the proposed approach does not significantly reduce total emissions compared to the baseline, it improves economic performance and smooths net-load fluctuations, thereby enhancing operational flexibility. These results indicate that integrating PSH within a carbon-aware UC framework provides a more balanced trade-off between cost and emission considerations in PV-dominated power systems.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.48084/etasr.18785first seen 2026-06-08 04:55:45
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