Active distribution network (ADN) is a solution for power system with interconnection of distributed energy resources (DER), which may change the network operation and power flow of traditional power distribution network. However, in some circumstances the malfunction of protection and feeder automation in distribution network occurs due to the uncertain bidirectional power flow. Therefore, a novel method of fault location, isolation, and service restoration (FLISR) for ADN based on distributed processing is proposed in this paper. The differential-activated algorithm based on synchronous sampling for feeder fault location and isolation is studied, and a framework of fault restoration is established for ADN. Finally, the effectiveness of the proposed algorithm is verified via computer simulation of a case study for active distributed power system.

Because of the problems that the current virtual experimental platforms focus on a single situation and small number of compatible users, a virtual experimental platform for international trade is designed. The platform uses desktop virtual reality technology to build the platform, modular to construct it. The platform has improved the international trade course system. Finally, compared with the existing virtual experiment platform, the results show that the designed International Trade Virtual Experiment Platform has more compatible users and faster response speed.

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