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Distributed Generation (DG) can be used to improve power quality, power supply reliability and reduce network loss et. Meanwhile Particle Swarm Optimization algorithm (PSO) is easy to fall into the local minimum. In this paper we propose a Cloud Adaptive Particle Swarm Optimization algorithm (CAPSO) to optimize the site and size of DG based on cloud model which has a tendency and randomness property. Judged by two dynamic value assessment, particle belongs to which group, excellent, general and poor. The inertia weight in general group is adaptively varied depending on X-conditional cloud generation. Taking the minimum network loss as the objective function, simulation on the IEEE 33BUS distribution systems to validate the methodology. Analysis and simulations indicate that it has good convergence speed and exactness.

Onshore hydraulic systems are not generally applied in subsea production control system,so how to design a special needed hydraulic system for subsea X-tree has been one of the hot research questions.Several specific hydraulic components were analyzed, such as hydraulic power unite,umbilical,subsea control model,hydraulic control valve and valve actuator, and then corresponding hydraulic schematic which can meet the requirements of subsea X-tree is presented.