考虑数据隐私保护的分布式电源就地控制策略利用人工智能算法与基于GCN的

The local control strategy of distributed power sources considering data privacy protection uses artificial intelligence algorithms to interact with the GCN-based dynamic simulation model of the distribution network, and only local measurement data and network-wide prediction data can be used to quickly give the local distributed power source Output strategy, and has a control effect similar to that of the centralized setting method. This paper selects genetic algorithm as the artificial intelligence algorithm for curve setting.

The distributed power in-place control strategy considering data privacy protection uses artificial intelligence algorithm to interact with the dynamic simulation model of GCN-based distribution network, and can quickly give the power-out strategy of local distributed power supply by using only local measurement data and network-wide prediction data, and has the control effect similar to that of centralized consolidation method. In this paper, the genetic algorithm is chosen as an artificial intelligence algorithm for curve adjustment.

The local control strategy of distributed generation considering data privacy protection uses artificial intelligence algorithm to interact with the dynamic simulation model of distribution network based on GCN. The output strategy of local distributed generation can be obtained quickly by using only local measurement data and whole network prediction data, and the control effect is similar to that of centralized setting method. In this paper, genetic algorithm is selected as an artificial intelligence algorithm for curve tuning.<br>