纸质出版:2026
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顾梨婷, 崔明建, 田云鹏, 等. 基于联邦ADMM数据隐私保护的电-氢耦合主动配电网分布式协同优化运行[J]. 电力系统保护与控制, 2026,54(18).
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).
顾梨婷, 崔明建, 田云鹏, 等. 基于联邦ADMM数据隐私保护的电-氢耦合主动配电网分布式协同优化运行[J]. 电力系统保护与控制, 2026,54(18). DOI: 10.19783/j.cnki.pspc.260160.
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.
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。
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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