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分散最適化フレームワークに基づく多地域電力系統の送電・蓄電協調計画

Multi regional power system transmission storage collaborative planning based on distributed optimization framework (原題)

Song L, He J, Bian X, Li D, Zhang J

Research Squareプレプリント2026-09-04#エネルギー転換Origin: CN経営インパクト: コスト削減対象セクター: power
DOI: 10.21203/rs.3.rs-10703657/v1
原典: https://doi.org/10.21203/rs.3.rs-10703657/v1

🤖 gxceed AI 要約

日本語

本論文は、再生可能エネルギーの受け入れ、地域間送電制約、蓄電配置の不調和に対処するため、分散最適化フレームワークに基づく送電・蓄電協調計画モデルを提案する。ADMM分解戦略を用いて地域部分問題を並列解決し、4地域システムで検証した結果、総コストを最大82.8百万人民元/年削減し、再生可能エネルギー受入率を最大8.78ポイント向上させた。

English

This paper proposes a transmission-storage coordinated planning model based on a distributed optimization framework to address renewable accommodation, inter-regional transmission constraints, and uncoordinated storage allocation. Using ADMM decomposition, the model optimizes transmission expansion and storage siting/sizing, validated on a four-area system, achieving cost reductions up to 82.8 million CNY/year and improving renewable accommodation by up to 8.78 percentage points.

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

日本の電力系統では、再生可能エネルギーの大量導入に伴い、地域間連系線の増強と蓄電池の最適配置が重要課題となっている。本提案の分散最適化アプローチは、複数の電力会社が存在する日本において、系統運用の協調計画に示唆を与える。

In the global GX context

Globally, this research contributes to the growing literature on integrated transmission and storage planning for renewable integration, offering a scalable distributed optimization method that can inform grid planning in regions with high renewable penetration and cross-border interconnections.

👥 読者別の含意

🔬研究者:Provides a novel distributed optimization framework for coordinated transmission-storage planning, with quantitative evidence of cost and renewable accommodation improvements.

🏢実務担当者:Offers a methodology for grid operators and utilities to optimize transmission and storage investments, potentially reducing costs and improving renewable integration.

🏛政策担当者:Highlights the economic benefits of coordinated planning, supporting policies that encourage joint transmission-storage development for renewable integration.

📄 Abstract（原文）

<title>Abstract</title> <p>To address renewable-energy accommodation, inter-regional transmission constraints, and uncoordinated storage allocation in multi-area power systems, this paper proposes a transmission-storage coordinated planning model based on a distributed optimization framework. The model jointly optimizes transmission expansion, energy storage siting and sizing, system operation cost, renewable curtailment penalty, and load-shedding penalty. An ADMM-based decomposition strategy is adopted to solve regional subproblems in parallel while maintaining boundary consistency among interconnected areas. A four-area power system with a total peak load of 6400 MW and annual electricity demand of 35480 GWh is used for case validation. The proposed scheme configures 800 MW/3200 MWh of energy storage and achieves a total annual cost of approximately 275.1 million CNY/year. Compared with transmission-only, storage-only, and independent planning schemes, the total cost is reduced by 36.5, 44.7, and 82.8 million CNY/year, respectively. The average renewable accommodation rate is improved by 4.60, 3.55, and 8.78 percentage points, demonstrating the economic and operational effectiveness of the proposed method.</p>

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