With the large-scale penetration of renewable energy, the safe and stable operation of power grid and economic dispatch are facing great challenges. How to realize accurate perception of internal load characteristics of power users is an important technical difficulty to support power demand side management. For this reason, this article is based on extensive IOT technology in electricity, and a non-invasive power load monitoring method (NILM) based on cloud edge collaboration is proposed. Through the two-level architecture of “edge identification” and “cloud correction”, the method effectively overcomes the contradiction between the weak computing capability of edge terminal and the heavy communication pressure of cloud master station. The experimental results show that the method can effectively improve the accuracy and reliability of traditional NILM method by considering the influence of external factors.

Based on the current development of smart grid, this paper makes an in-depth exploration on the interoperability of microgrid platforms, mainly on the interoperability among institutions. Conduct a hierarchical analysis of different requirements to study different levels of interoperability. In this paper, a private hybrid cloud based SCADA architecture is found based on the interoperability of the microgrid platform while ensuring security limitations. Because data collection and critical monitoring are limited by time in the grid, not as critical monitoring and data collection can be accessed by private cloud partners only after being selected. And the main SCADA function is still controlled by the local server, so the cloud architecture is mixed, and this communication is a service delivery model, a model based on cloud computing.

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Integrated energy systems incorporate new types of clean and distributed energy into the power grid. In the future, smart grid will emerge in the form of integrated energy services. However, the application of new technology inevitably brings the threat of privacy disclosure. To deal with this kind of information security, a smart grid data security aggregation technology based on fog computing architecture for integrated energy services is proposed in this paper. Real-time data is encrypted in the energy acquisition equipment to obtain the first layer of privacy protection, and fine-grained aggregation at the fog end to obtain the second layer of privacy protection, so as to achieve the confidentiality and privacy of the entire network data transmission and processing. Finally, the safety and performance evaluation shows that this technology has a great advantage over other schemes in terms of safety, practicability and efficiency.