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In the integrated mode of power grid dispatching and control centralized monitoring, the dispatchers need to prioritize events, determine fault types and propose solutions timely and accurately, which puts forward the high requirements on the operational ability and the response level of the dispatchers. To relieve the working pressure of the dispatchers, a grid dispatching ontology knowledge base based on the ontology theory and the dispatching rules is built in this paper, which realizes information search and query with conciseness, preciseness, and rapidity. The instantiation of the power grid dispatching knowledge ontology can provide decision-making assistance, information query and verification, emergency handling and other functions.

With the rise of counterfeiting, and counterfeit electronic components are widely used in various field. Although the components used in the military equipment are through the layers of quality checks before installed, there are still a lot of counterfeit components do not be checked out. In this paper, an identification method for counterfeit components based on physical analysis test techniques, such as visual inspection, scanning acoustic microscope (SAM) and scanning electron microscope (SEM) examination, was proposed. And a case was applied and analyzed, which indicated that the proposed method can identify counterfeit devices effectively.

Based on the part of DTS in smart grid dispatch control system, we have a research on steady-state simulation model of multi-terminal VSC-HVDC (Voltage Source Conveter-High Voltage Direct Current) and hybrid solution algorithm of AC/DC system, and propose the alternating solution algorithm based on the Newton-Raphson method in this paper. Finally, a simulation example is given, and the correctness and effectiveness of the proposed model and algorithm in this paper are verified by the results of example.

We present a new hybrid channel allocation method which includes both the nominal channel allocation and dynamic channel allocation. More efficient channel usage is achieved through co-channel distance minimization. To further improve the performance, there is no division of fixed and dynamic channel groups. The dynamic channel pool includes all the channels in the system.