A Two-stage Consensus-empowered Measurement Data Sharing Approach for Distribution Networks Based on Lightweight Fuzzy Petri Nets

WANG Ke; TANG Zhongwei; LIU Haodong; ZHANG Sunxuan; YANG Yufei; ZHOU Zhenyu

doi:10.19725/j.cnki.1007-2322.2024.0149

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A Two-stage Consensus-empowered Measurement Data Sharing Approach for Distribution Networks Based on Lightweight Fuzzy Petri Nets

更新时间：2026-10-19

- A Two-stage Consensus-empowered Measurement Data Sharing Approach for Distribution Networks Based on Lightweight Fuzzy Petri Nets
- Vol. 43, Issue 5, Pages: 833-841(2026)
- 作者机构：
  
  新能源电力系统国家重点实验室(华北电力大学), 北京市昌平区,102206
- 作者简介：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2024.0149
  CLC： 5
- Published：2026
- 稿件说明：
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WANG Ke, TANG Zhongwei, LIU Haodong, et al. A Two-stage Consensus-empowered Measurement Data Sharing Approach for Distribution Networks Based on Lightweight Fuzzy Petri Nets[J]. 2026, 43(5): 833-841.
DOI：

WANG Ke, TANG Zhongwei, LIU Haodong, et al. A Two-stage Consensus-empowered Measurement Data Sharing Approach for Distribution Networks Based on Lightweight Fuzzy Petri Nets[J]. 2026, 43(5): 833-841. DOI： 10.19725/j.cnki.1007-2322.2024.0149.

摘要

随着配电网设备的广泛接入，计量数据呈指数级增长，海量配电计量数据的安全共享和交互溯源面临重要挑战。因此，提出一种基于轻量级模糊Petri网(fuzzy Petri net，FPN)的两阶段共识赋能配电计量数据共享方法。首先，构建基于轻量级FPN的两阶段共识赋能配电计量数据交互架构。然后，提出基于轻量级FPN节点信任度评估的两阶段共识赋能配电计量数据共享方法，根据多维节点可信度指标选取簇头节点，完成自适应分簇，并生成对抗网络训练初始状态向量。随后，设置迭代次数阈值，减少轻量级FPN迭代次数，再采用Top-J排序方法选取信任值较大的共识节点，完成簇内、簇间的两阶段共识。最后，通过仿真验证所提算法在节点信任度、共识时延、CPU占用率等方面的优越性，提高海量配电计量数据的安全共享和交互溯源能力。

Abstract

With the widespread deployment of distribution network equipment

measurement data is growing exponentially. The secure sharing and interactive traceability of massive distribution measurement data present considerable challenges. Therefore

a two-stage consensus-empowered measurement data sharing approach for distribution networks is proposed based on lightweight fuzzy Petri nets (FPNs). First

a two-stage consensus-sharing architecture for distribution measurement data interaction is constructed based on lightweight FPN. Second

a two-stage consensus-empowerment measurement data approach for distribution networks is proposed based on lightweight FPN nodes credibility evaluation. Specifically

the cluster head nodes are selected for adaptive multi-dimensional node trust indicators. These multi-clustering based on dimensional node trust indicators are subsequently trained by a generative adversarial network (GAN) to generate the initial state vector

and an iteration threshold is set to reduce the number of lightweight FPN iterations. Third

the Top-J ranking method is utilized to select consensus nodes with higher trust values and to complete the two-stage consensus within and between clusters. Finally

the superiority of the proposed algorithm is validated through simulations in terms of nodes trustworthiness

consensus delay

and CPU occupancy. Moreover

the ability of secure sharing and interactive traceability of massive distribution measurement data is enhanced.

关键词

Keywords

references

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