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With the development of smart grid technology, more and more intelligent devices and applications are accessed into the electric power system, which put forward higher requirements on network communication and monitoring. Power distribution and electricity utilization network directly facing the ultimate power users, is the embodiment of the smart grid in customer aspect. Flexible, efficient and reliable communication network will greatly improve the user experience. The network is commonly referred to as power communication access network. In order to improve the performance of service bearing network, a novel service driven modeling method for requirement analysis is proposed. Furthermore, the paper offers some recommendations for network design.

The primary purpose of this study is to improve the positioning performance of shape-memory-alloy (SMA) actuators. In order to achieve this goal, the system nonlinearity was reduced with the inversion of a nonlinear model. The system could then be approximated with a linear model. It is easy to construct the corresponding model-reference-adaptive-system (MRAS) based on this linear model. Experimental results show that the MRAS is robust with respect to external disturbances and improves the positioning performance. In addition, with the proposed control scheme, the simulation results will closely match experimental results, which is useful to predict the system performance at the controller-design stage.

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