Quantitative evaluation of power grid construction effectiveness and investment planning algorithm under carbon emission constraints
炭素排出制約下における送電網建設効果の定量的評価と投資計画アルゴリズム (AI 翻訳)
Gang Sun, Chun Han, Yan Qin, Fangfei Zhao
🤖 gxceed AI 要約
日本語
炭素排出制約下での電力網建設効果を評価し、投資計画を最適化する手法を提案。経済性・信頼性・低炭素の3次元モデルを用い、炭素市場価格を投資決定に内生化。実証分析により、高炭素価格下では蓄電投資が促進され、石炭転換が抑制されることを確認。電力企業の炭素移行リスク回避や政府の炭素割当政策策定に貢献。
English
This paper proposes a closed-loop decision support method for power grid construction investment planning under carbon emission constraints. It develops a three-dimensional quantitative model evaluating economy, reliability, and low-carbon performance, and integrates carbon price signals into a mixed integer dynamic programming algorithm. A case study of a provincial grid from 2023-2035 shows the method increases the comprehensive effectiveness index by 18% and improves clean energy consumption and reliability. The algorithm automatically advances energy storage investment and abandons thermal power conversion under high carbon prices, demonstrating sensitivity to carbon markets. The research provides an operational tool for utilities to avoid carbon transition risks and for governments to design differentiated carbon quota policies.
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
日本のGX文脈では、SSBJや有報でのカーボン排出開示が進む中、電力網投資の定量的評価と炭素価格の内生化は、日本の電力会社が直面する移行リスク管理に直接応用可能。特に、2035年までの計画期間設定は日本のエネルギー基本計画とも整合し、蓄電投資の前倒し示唆は日本のFIT終了後の再エネ拡大戦略に示唆を与える。
In the global GX context
In the global GX context, this paper addresses a critical need for investment planning tools that incorporate carbon pricing and constraints, aligning with TCFD, ISSB, and CSRD requirements for climate risk assessment. The integration of carbon flow tracking into grid investment optimization is novel and provides a quantitative basis for transition finance decisions. The methodology is transferable to any regulatory regime with carbon pricing and renewable targets.
👥 読者別の含意
🔬研究者:Provides a rigorous optimization framework integrating carbon pricing into grid investment planning, with empirical validation.
🏢実務担当者:Offers an operational tool for power utilities to quantitatively evaluate grid construction effectiveness under carbon constraints and adjust investment timing based on carbon price signals.
🏛政策担当者:Demonstrates how carbon pricing influences grid investment decisions, supporting the design of differentiated carbon quota policies.
📄 Abstract（原文）
Under the background of "double carbon" strategy, the multi-dimensional coordination of economy, reliability and low carbon is urgently needed in power grid construction. In this paper, a set of "evaluation-planning" closed-loop decision support method is proposed. Firstly, a three-dimensional quantitative model of power grid construction effectiveness is constructed, and key indicators are selected from three dimensions of economy, reliability and low carbon, which are normalized by extreme value method and weighted and aggregated into a comprehensive effectiveness index (CEI). Then, a mixed integer dynamic programming algorithm under the constraint of carbon emission is developed, and the carbon flow tracking technology and the carbon market price signal are endogenous to the investment optimization process to realize the flexible response of project optimization and timing decision. Taking the planning of a provincial power grid from 2023 to 2035 as an example, two scenarios of benchmark and high-intensity carbon price are set, and three schemes of traditional minimum cost, rigid carbon constraint and multi-objective coordination in this paper are compared. The results show that the CEI of this method is increased by 18%, and the clean energy consumption rate, N-1 pass rate and power outage time are significantly improved. At the high carbon price, the algorithm automatically advanced the energy storage investment and abandoned the thermal power transformation, which verified the sensitivity to the carbon market. The research provides an operational tool for power grid enterprises to quantitatively evaluate the construction effect, avoid the risk of carbon transition, and the government to formulate differentiated carbon quota policies.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1117/12.3112345first seen 2026-07-20 05:19:45
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