電力・炭素取引とデマンドレスポンスを考慮した配電網における新規負荷接続点の最適化
Optimization of New Load Connection Points in Distribution Networks Considering Electricity–Carbon Trading and Demand Response (原題)
Shuiping Yi, Jianjian Jiang, Yuxue Wang, Jian Guan, Bo Li, Junyuan Qu, Qiaoxu Dai, Yuling He
🤖 gxceed AI 要約
日本語
配電網の新規負荷接続点選定に電力・炭素取引とデマンドレスポンスを組み込む最適化手法を提案。歴史データと確率モデリングで中長期シナリオを生成し、NSGA-IIと改良ニーポイント法で経済性と電圧分散のトレードオフを解く。IEEE 33バス系統の試算で年間運用収益5.21%増、電圧分散14.97%減を達成した。
English
Proposes an optimization method for selecting new load connection points in distribution networks that integrates electricity–carbon trading and demand response. Medium/long-term scenarios are generated probabilistically, and NSGA-II with an improved knee-point method balances economics and voltage dispersion. On the IEEE 33-bus system, annual operating revenue rises 5.21% and voltage magnitude dispersion falls 14.97% versus the no-DR/no-carbon-trading case.
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
中国の電力炭素市場を前提とした配電計画手法だが、炭素価格をネットワーク計画に内部化する考え方は、日本でもGX推進法下の系統増強・接続検討や炭素価格制度設計を議論する際の参考になる。
In the global GX context
Illustrates how internalizing carbon prices into distribution-network planning can improve both economics and voltage quality, offering a quantitative template relevant to grid operators and regulators designing carbon-pricing-linked network investment frameworks under ISSB/transition-finance disclosure.
👥 読者別の含意
🔬研究者:炭素取引とDRを配電網計画に統合する多目的最適化の定式化とシナリオ生成手法が参考になる。
🏢実務担当者:配電事業者は負荷接続点の選定時に炭素コストとDR効果を評価指標に加えることで収益改善と電圧品質維持を両立できる可能性がある。
🏛政策担当者:炭素価格を系統計画に反映させる制度設計が、配電網の経済性と運用品質の両立に寄与し得ることを示唆する。
📄 Abstract（原文）
With the increasing integration of wind and photovoltaic generation, demand response, and electricity–carbon trading, distribution network operation faces growing uncertainties, making it difficult for traditional power industry expansion practices to balance economic performance and operational requirements when selecting new load connection points. To address this issue, this study proposes an optimization method for new load connection point selection based on joint source–load scenario generation. The main contribution is the integration of electricity–carbon trading and demand response mechanisms into the load connection point selection process, moving beyond the traditional approach that primarily minimizes local network loss costs and providing a new perspective for the coordinated optimization of distribution network economics and voltage magnitude dispersion. First, medium- and long-term scenarios are generated using historical data and probabilistic modeling. A multidimensional evaluation framework is then established to assess the quality of the generated scenarios. Subsequently, a load connection point selection model incorporating electricity–carbon trading and demand response is developed and solved using a non-dominated sorting genetic algorithm. An improved knee-point method is then employed to select the optimal solution from the Pareto-optimal set, balancing economic performance and voltage magnitude dispersion. Finally, simulations are conducted on the IEEE 33-bus system. The results show that, compared with the scheme without demand response and carbon trading, the proposed method increases annual operating revenue by 5.21% and reduces nodal voltage magnitude dispersion by 14.97%.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/en19215237first seen 2026-11-05 05:05:46 · last seen 2026-11-06 04:46:53
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