A Robust Optimization Method for Dynamic Operating Envelope Coordination in Distribution Networks

In this paper, we propose a Dynamic Operating Envelope (DOE) coordination method for aggregators in distribution networks (DNs). While the DOE acts as a time-varying power export limit to ensure the DN’s integrity, existing aggregator-agnostic allocation overlooks the surplus of aggregators. To address this limitation, our approach allows aggregators to cooperatively adjust DOEs by solving a two-stage robust optimization and settling payments between themselves. The coordination problem is solved by the column-and-constraint generation (C&CG) algorithm, ensuring that any power injection within the adjusted DOE maintains the network integrity. Consequently, the aggregators’ total surplus increases. A 4-bus system case study demonstrates the effectiveness of the proposed method.

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Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10991869
Primary Topic
Optimal Power Flow Distribution
Type
article
Field-Weighted Citation Impact
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article

A Robust Optimization Method for Dynamic Operating Envelope Coordination in Distribution Networks

Ye Guo, Zhisen Jiang, Jianxiao Wang
Optimal Power Flow Distribution
article

A Robust Optimization Method for Dynamic Operating Envelope Coordination in Distribution Networks

Ye Guo, Zhisen Jiang, Jianxiao Wang
article en

Abstract

In this paper, we propose a Dynamic Operating Envelope (DOE) coordination method for aggregators in distribution networks (DNs). While the DOE acts as a time-varying power export limit to ensure the DN’s integrity, existing aggregator-agnostic allocation overlooks the surplus of aggregators. To address this limitation, our approach allows aggregators to cooperatively adjust DOEs by solving a two-stage robust optimization and settling payments between themselves. The coordination problem is solved by the column-and-constraint generation (C&CG) algorithm, ensuring that any power injection within the adjusted DOE maintains the network integrity. Consequently, the aggregators’ total surplus increases. A 4-bus system case study demonstrates the effectiveness of the proposed method.

Peking University (CN), Tsinghua–Berkeley Shenzhen Institute (CN), Tsinghua University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 72%
Optimal Power Flow Distribution
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