Distributionally Robust Optimal Dispatch of Seaport Microgrids with Tiered Carbon Trading and Renewable Energy Uncertainty

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

🔬研究者:DROとTCTの統合による運用最適化の新手法として参考になる。

🏢実務担当者:港湾や産業団地のエネルギー管理部門でコスト削減と炭素排出削減の両立に活用できる。

🏛政策担当者:港湾の脱炭素政策やカーボンプライシング設計に示唆を与える。

As seaports transition toward low-carbon operations, high-penetration renewable energy integration introduces significant uncertainty while stringent carbon emission constraints impose additional operational challenges for microgrid dispatch. To address the curse of dimensionality induced by the extensive binary variables in conventional two-stage distributionally robust optimization (DRO) models with tiered carbon trading (TCT), this paper proposes a two-stage DRO dispatch framework for seaport microgrids, integrating a linear programming (LP) reformulation of TCT with linear decision rules (LDR) for intra-day recourse. First, by exploiting the convex piecewise structure of the tiered marginal carbon price, the TCT cost is reformulated as a continuous-variable LP, entirely eliminating binary variables. Second, a Wasserstein-ball ambiguity set is constructed to capture distributional uncertainty; LDR is applied to affinely parameterize intraday recourse decisions, and strong duality converts the semi-infinite program into a tractable single-level LP. Case studies demonstrate that the hybrid energy storage achieves stable daily charge–discharge cycling, the system effectively suppresses renewable power fluctuations, and the proposed method intelligently avoids high-tier carbon penalty costs, reducing total operating cost by 3.7% and 6.2% relative to conventional SO and RO benchmarks, while decreasing carbon trading expenditure by 18.5%.

• semanticscholar https://doi.org/10.1109/ccssta69471.2026.11635772first seen 2026-08-14 05:24:55