V2Gの柔軟応答を考慮したアクティブ配電網の低炭素デイアヘッド運用戦略

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:V2Gと炭素取引を組み合わせた配電網運用の最適化手法に関心のある研究者に有用。

🏢実務担当者:配電事業者やEVアグリゲーターが、V2Gを活用した低炭素運用とコスト削減の可能性を評価する際の参考になる。

🏛政策担当者:炭素取引制度とV2G普及策を設計する際、配電網レベルでの効果と実装課題を理解するのに役立つ。

: The high penetration of distributed renewable energy and flexible loads brings prominent challenges to the low-carbon economic dispatch of active distribution networks (ADNs). Existing vehicle-to-grid (V2G)-aided dispatch studies often fail to precisely characterize the bidirectional charging-discharging feasible region of large-scale electric vehicle clusters and suffer from either over-conservatism or heavy computational burden when handling source-load uncertainties. To fill these research gaps and improve renewable energy accommodation while cutting system carbon emissions, this paper proposes a day-ahead low-carbon scheduling strategy for ADNs considering the flexible response capability of V2G. First, an energy-power feasible region is constructed to accurately describe the energy-storage flexible characteristics of aggregated V2G units, with constraints on battery discharge depth and cycle life incorporated for practicality. Second, a stepped carbon-trading model is introduced to build the low-carbon dispatch framework, which imposes differentiated economic penalties on high-carbon links including grid-purchased power and distributed gas turbines. Third, fuzzy chance constraints are employed to quantify the dual uncertainties of distributed generation and loads so as to mitigate the conservatism of scheduling decisions. An improved particle swarm optimization algorithm fused with teaching-learning-based optimization (TLBO-PSO) is further developed to tackle the complex optimization problem with numerous binary variables and multiple constraints. Finally, an improved IEEE 33-node test system is utilized for numerical validation. Simulation results demonstrate that compared with the baseline scheme without V2G participation, the proposed coordinated dispatch strategy reduces daily system carbon emissions by up to 37.1% and cuts total scheduling costs by 6.03%. Meanwhile, it achieves a renewable-energy accommodation rate of 97.3% with competitive computational efficiency. The results verify the effectiveness of the proposed framework and highlight the necessity of exploiting V2G flexibility for low-carbon operation of ADNs.

• semanticscholar https://www.techscience.com/energy/online/detail/28279/pdffirst seen 2026-09-16 04:56:04 · last seen 2026-09-21 04:57:40