透明化安全管控熵感知的安全有源配电网通感算资源分配方法

陈心怡; 李仕彦; 黄莘程; 陈人楷; 傅连建; 方晓明; 张孙烜

陈心怡,李仕彦,黄莘程,陈人楷,傅连建,方晓明,张孙烜.透明化安全管控熵感知的安全有源配电网通感算资源分配方法[J].电测与仪表,2026,63(6):101-110.
Chen Xinyi,Li Shiyan,Huang Xincheng,Chen Renkai,Fu Lianjian,Fang Xiaoming,Zhang Sunxuan.Secure communication-sensing-computing resource allocation method for active distribution network of entropy awareness of transparent security management[J].Electrical Measurement & Instrumentation,2026,63(6):101-110.

透明化安全管控熵感知的安全有源配电网通感算资源分配方法

Secure communication-sensing-computing resource allocation method for active distribution network of entropy awareness of transparent security management

DOI：10.19753/j.issn1001-1390.2026.06.011

中文关键词: 配电网透明化安全管控通感算资源分配两阶段深度Q网络隐私熵

英文关键词:distributionnetwork,transparent security management, communication-sensing-computing resource allocation, two-stage deep Q network, privacy entropy

基金项目:国网福建省电力有限公司科技项目“透明化有源配电网通感算协同关键技术研究”（SGFJXT00TXJS2400124）

作者中文名	作者英文名	单位
陈心怡	Chen Xinyi	国网福建省电力有限公司信息通信分公司
李仕彦	Li Shiyan	国网福建省电力有限公司信息通信分公司
黄莘程	Huang Xincheng	国网福建省电力有限公司福州供电公司
陈人楷	Chen Renkai	国网福建省电力有限公司信息通信分公司
傅连建	Fu Lianjian	国网福建省电力有限公司信息通信分公司
方晓明	Fang Xiaoming	国网福建省电力有限公司信息通信分公司
张孙烜	Zhang Sunxuan	华北电力大学

摘要点击次数: 129

中文摘要:

有源配电网透明化安全管控能够实现实时和全面的配电网运行状况监测和管控。吞吐量和隐私熵是度量透明化安全管控的重要指标，有必要通过联合优化配电网通感算资源实现高吞吐量与高隐私熵的联合保障。然而，现有通感算资源联合优化方法存在着吞吐量与隐私熵相互矛盾、联合优化复杂度高以及收敛速度慢、优化性能差等问题。因此，文章提出基于透明化安全管控熵感知的有源配电网资源分配方法。文中构建有源配电网透明化安全管控架构，构建透明化管控约束与通感算隐私熵长短期约束下的通感算资源联合优化问题，并基于李雅普诺夫优化解耦长期约束与短期决策，提出透明化安全管控熵感知的终端智能调度算法和基于拉格朗日的加密等级和计算资源优化算法求解优化问题。仿真结果表明，所提算法在吞吐量和隐私熵等方面都具有良好性能。

英文摘要:

Transparent and secure management and control of active distribution networks can achieve real-time and comprehensive monitoring and control of distribution network operations. Throughput and privacy entropy are important metrics for measuring the transparency and security management. It is necessary to achieve high throughput and privacy entropy through joint optimization of distribution network sensing and computing resources. However, joint optimization methods for sensing and computing resources face challenges such as trade-offs between throughput and privacy entropy, high complexity and slow convergence of joint optimization, and poor optimization performance. Therefore, this paper proposes a resource allocation method for active distribution networks based on transparency-aware security management and sensing. The architecture of transparent security management for active distribution networks is established. The joint optimization problem of sensing and computing resources under constraints of transparency management and long-term privacy entropy is formulated. Long-term constraint is decoupled from short-term decisions based on Lyapunov optimization. The transparency security management and control entropy-aware terminal intelligent scheduling algorithms for and Lagrange-based encryption level and computing resource optimization algorithms are proposed. Simulation results demonstrate that the proposed algorithms exhibit good performancein terms of throughput and privacy entropy.

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