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At present, most substations are constructed based on IEC 61850 standard. The communication protocols in the station mainly include MMS, GOOSE and SMV, which are gradually exposed in engineering practice. Some deficiencies and potential safety hazards have emerged. For this reason, based on the MMS alternative protocol, the function and security of its implementation are introduced. In terms of functions, MMS alternative protocol adds multiple services and optimizes the deficiencies of the existing MMS protocol; for security, the application layer of the MMS alternative protocol implements two-way identity authentication based on the SM2 algorithm and despatching certificate, preventing unauthorized devices to prevent illegal access and attacks from the source of protocol; the transport layer of the MMS alternative protocol implements full link encryption and authentication based on the SM2 algorithm and despatching certificate to ensure the transmitted data message is antiforgery and non-repudiation and antitheft, protect the confidentiality and integrity of data messages. Therefore, the MMS alternative protocol has been greatly optimized on function, and the security authentication and transmission encryption mechanism of the protocol are focused on the security aspect. The final experimental results prove that the MMS alternative protocol has a certain reference significance in engineering applications.

An information matching technique based on deep learning is proposed: The word sequence of the text is obtained by Chinese text segmentation model using word formation. Then, keyword extraction model is employed to classify large-scale textual information (the texts with the same keyword are treated as in the same group). Finally, the matching degree is given by the two-tier deep learning model, in which the first tier is used to judge whether the texts belong to the same group, and the second tier to calculate the matching degree. The examples indicate that the technique can provide effective results in dispatching/control information matching and operating instruction matching.

Whether the original power data is accurate and complete is a key factor affecting the accuracy of line loss calculations. This research is based on a big data platform to obtain the distribution network model data, topology data, and operating data required for theoretical line loss calculation and technical high loss analysis. The power system analysis algorithm is combined with the big data analysis algorithm to automatically check the distribution network. To locate the high-loss links of the power grid to assist grid planners in their energy-saving and loss-reducing planning and transformation work.

The DC power flow control device can improve the control degree of freedom to direct the power flows in meshed DC grids, which contributes to solving the problem of uncontrollable power flow in some DC lines. The operating principle and operating characteristics of the shunt type power flow controller (SPFC) are analyzed, and it is indicated that the SPFC has nine operating states. Then, the general branch current calculation method suitable for meshed DC grids including SPFC is derived by formula derivation, which can provide logicality for the control strategy. Finally, the SPFC is applied in a meshed five-terminal DC grid. Through the simulation study, the feasibility of the power flow regulation capability of SPFC is verified. What's more, it is indicated further that compared with the existing power flow control devices, the cost of SPFC is less and its operation loss is smaller.