Conventional power communication data link detection methods mainly focus on the detection of communication network intrusion characteristic data, and focus on the detection of data that has been invaded, resulting in the reduction of the security of communication network business data. Therefore, a full link detection method of power communication network service data security is designed. In the process of data transmission, exchange and sharing of power communication network, detect the security threat of power communication network service data, and describe the link threat type in the form of protocol to provide data guarantee for data link detection. Deploy the vulnerable link detection mechanism of power communication data, take the vulnerable link as the target of the data attack, predict and deploy the detection mechanism according to the attack mode of the vulnerable link, respond in time when the attack just occurs, and ensure the security of communication data. The contrast experiment verifies that the detection method is more accurate and can be applied in real life.

To address the significant challenge of supply-demand balance in the power system and better coordinate the energy and information interaction between electric vehicles and smart grids, vehicular grid interaction has been extensively studied. Blockchain technology has the characteristics of decentralization, openness, and non-tamperability, which is naturally suitable for distributed transactions with virtual power plants. However, the current distributed energy transactions of virtual power plants face challenges in credit management and privacy protection, which are not conducive to the stability of the trading market. To address the above issues, this paper proposes a blockchain-based distributed energy trading scheme for virtual power plants, which realizes distributed trading while protecting the user’s identity information and providing credit management for the user’s performance behaviour. Finally, the performance evaluation and security analysis of the scheme based on security and privacy requirements show that the scheme is both secure and practical.

非结构化数据属于知识图谱中较难处理的信息类型,通过探索抽取与融合模型,可以为知识图谱的有效应用提供重要支持,能够提高相关任务的开展效率.文章结合电力行业知识图谱信息,对相关体系建立方法与可用抽取、融合模型进行深入研究,以供参考.

The current unstructured multi-source data fusion has insufficient application of data attributes, which leads to unsatisfactory data fusion results. To this end, an unstructured multi-source data fusion method based on knowledge graph is proposed. Building a data tracking model to integrate unstructured multi-source datasets. Processing unstructured multi-source datasets. Associating data based on knowledge graphs. Alignment and complementary processing of data attributes to correlate unstructured multi-source data attribute fusion. The experiments show that the average fusion of the method reaches 0.92152. The fusion of unstructured multi-source data is substantially improved and has high practical application value.

The current multi-source heterogeneous sensory data fusion lacks the application of user feedback, resulting in low user satisfaction of the data fusion results. In this regard, a multi-source heterogeneous perceptual data fusion method for user feedback is proposed. A multi-source heterogeneous perceptual data storage model is built to complete the acquisition and storage of data. Uniform semantic annotation of the stored data. Obtain user relevance feedback. Based on the feedback information, the dynamic feedback fusion of multi-source heterogeneous perceptual data is completed. The experiments show that the average user satisfaction of the method is 0.9534, which is a significant improvement and has high practical application value.

In order to improve the security and evaluation accuracy of power grid business transformation data, this paper proposes a data quality evaluation method for power grid business transformation based on isolation boundary. First, improve the security of grid business transformation data through the isolation boundary between the internal and external networks of data transmission. Secondly, within the security range of the isolation boundary, the data of power grid business transformation is collected through the compression sensing theory. Finally, accuracy, integrity, consistency, timeliness and redundancy are selected as the evaluation indicators of data quality, and the weight of indicators is analyzed to determine the evaluation model. According to the comprehensive evaluation score, the evaluation of data quality of power grid business transformation is completed. The experimental results show that, compared with the traditional methods, this method can safely and completely collect the data of power grid business transformation, and can improve the accuracy of data quality evaluation.

随着清洁能源的快速发展，实现能源系统的高效整合和优化运行成为当今重要的研究领域。本文提出了一种基于数字化仿真沙盘的“源网荷储”能源系统全景展示和实验平台，详细描述了沙盘模型的制作及工艺。