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With the rapid progress of the distribution network construction, a large number of intelligent terminals need to be connected to the distribution network, which brings hidden dangers to the power grid security. Intelligent distribution master stations and terminals using the existing SM2 algorithm can obtain shared keys on insecure communication channels. However, due to the high concurrency of the main station and the limited computing power and storage capacity of the terminal, the simple use of the original SM2 algorithm cannot guarantee the fast and secure bidirectional identity authentication of the smart distribution network. Considering the high concurrency of the main station and the limited computing power and storage capacity, this paper proposes the distribution terminal security protection method, security chip and system deployed in the intelligent distribution terminal, add encryption authentication unit in the terminal security chip, adopt improved authentication key negotiation based on SM2, combine SM1 data based on decryption technology, realize secure bidirectional communication between the distribution main station and the distribution terminal.

This paper proposes an optimization method for distributed energy access to distribution network based on chaotic genetic simulated annealing algorithm, and establishes a joint optimization with the total network loss of the power grid system, the minimum node voltage, the average voltage deviation, and the user power purchase cost as the objective function. model, to realize the location selection and constant volume of distributed energy, and to use the weighted method to realize the simplification of the objective function. The chaotic genetic simulated annealing algorithm is used to solve the optimization model, and the simulation comparison is made based on the IEEE-69 node system and the particle swarm algorithm , the results show that the proposed method has higher effectiveness and reliability.

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