Distributed collaborative optimal operation for electricity-hydrogen coupled active distribution networks based on federated ADMM for data privacy protection

GU Liting; CUI Mingjian; TIAN Yunpeng; DENG Fangming; KANG Bing; LU Ming; HUANG Xiaoqing; CHEN Kena

doi:10.19783/j.cnki.pspc.260160

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Distributed collaborative optimal operation for electricity-hydrogen coupled active distribution networks based on federated ADMM for data privacy protection

更新时间：2026-09-23

- Distributed collaborative optimal operation for electricity-hydrogen coupled active distribution networks based on federated ADMM for data privacy protection
- Power System Protection and Control Vol. 54, Issue 18, (2026)
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- DOI：10.19783/j.cnki.pspc.260160
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- Published：2026
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GU Liting, CUI Mingjian, TIAN Yunpeng, et al. Distributed collaborative optimal operation for electricity-hydrogen coupled active distribution networks based on federated ADMM for data privacy protection[J]. Power System Protection and Control, 2026, 54(18).
DOI：

GU Liting, CUI Mingjian, TIAN Yunpeng, et al. Distributed collaborative optimal operation for electricity-hydrogen coupled active distribution networks based on federated ADMM for data privacy protection[J]. Power System Protection and Control, 2026, 54(18). DOI： 10.19783/j.cnki.pspc.260160.

摘要

针对高比例分布式电源接入下主动配电网新能源消纳不足、电压频繁越限、数据隐私风险高及计算效率低等问题，提出一种基于联邦交替方向乘子法(federated alternating direction method of multipliers

FedADMM)的隐私保护分布式优化算法。首先，建立FedADMM算法数学模型，通过避免子问题闭式求解提高计算效率。其次，构建含电氢耦合系统的配电网运行优化模型，设计基于FedADMM的三层分布式优化求解框架。最后，在IEEE33和IEEE123节点系统上进行仿真。结果表明，所提方法使系统新能源消纳水平提升7.82%，较ADMM计算效率提升80.36%，较基于同态加密的ADMM具有更高计算精度。

Abstract

To address the insufficient renewable energy accommodation

frequent voltage violations

high data privacy risks

and low computational efficiency in active distribution networks with high penetration of distributed generation

a privacy-protection distributed optimization algorithm based on the federated alternating direction method of multipliers (FedADMM) is proposed. First

a mathematical model of the FedADMM algorithm is established

in which computational efficiency is improved by avoiding the closed-form solutions of subproblems. Second

an optimization model for the electricity-hydrogen coupled distribution network is developed

and a FedADMMbased threelayer distributed framework is designed. Finally

simulations on the IEEE33bus and IEEE123bus systems show that the proposed method increases renewable energy accommodation by 7.82%

improves computational efficiency by 80.36% over ADMM

and achieves higher accuracy than homomorphic encryptionbased ADMM.

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references

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