2results about How to "Reduce no-load" patented technology

This invention provides a hybrid solid-state transformer and its power distribution method for normal power optimization, belonging to the field of power electronic transformer technology. It includes a power frequency transformer, a three-stage dual-parallel converter, a power sampling circuit, a hysteresis comparator circuit, and a combined controller. One end of the power frequency transformer is connected to the high-voltage grid, and the other end is connected to the AC load. The three-stage dual-parallel converter is connected in parallel with the power frequency transformer. The power sampling circuit acquires the voltage and current of the AC load and outputs an analog voltage signal. The hysteresis comparator circuit evaluates the operating conditions of the analog voltage signal and outputs a binary status signal. The combined controller acquires the binary status signal and the fault signal of the three-stage dual-parallel converter, and controls the operating state of the power frequency transformer and the three-stage dual-parallel converter. This invention solves the problems of low operating efficiency and uneven power distribution of existing transformers under light load, heavy load, and fault conditions.

The invention relates to the technical field of automatic guided vehicle scheduling, in particular to an AGV scheduling optimization method and system based on task priority and energy consumption. The method comprises the following steps: obtaining a basic priority comprehensive score in combination with a time urgency index and a scheduling waiting time index; dynamically optimizing the basic priority comprehensive score by using a penalty factor to obtain a dynamic priority score; the task clusters are divided according to dynamic priority scores, and the AGVs are pre-allocated according to the division result; and constructing a multi-target scheduling optimization model, and finishing AGV scheduling in combination with the multi-target scheduling optimization model and the pre-allocation result. According to the method, the task priority and the energy consumption model are combined, efficient cooperative scheduling of the multiple AGVs on the spinning vehicle discontinuous yarn piecing task is achieved, the scheduling process and the path planning process are simplified, the workshop automation level and the operation efficiency are effectively improved, and the method has the remarkable advantages of being energy-saving, efficient, intelligent in control and the like.