This paper presents a design of multi-wave pulse power based on FPGA. The main circuit is made up of step-down transformer, PWM rectifier and filter ,step-down chopper, waveform conversion .In order to solve the serious distortion of current of pulse power ,three-phase PWM high power factor rectifier circuit is used .The control circuit is EP1C6 development system ,with VHDL programming , generates six-way SPWM signal ,which are used to control the IGBTs of three-phase PWM circuit; by using PWM double closed-loop system to modulate step-down transformer, the size of the output current can be controlled; waveform conversion circuit is controlled in order to control realize the combination of a variety of waveforms. Keywords-PWM rectifier ; FPGA ; multi-wave ; high power factor; Pulse power
Power generation estimation is one of the key steps in wind farm micro-sitting, and its accuracy is related to the wake decay constant in the wake model. Considering the influence of wind resource distribution in different regions, this study carried out interval optimization for the wake decay constant of offshore wind farms in the Yellow Sea region of China. Given the very small length of the sea surface roughness, atmospheric stability is a critical factor influencing the wake extent and recovery speed of offshore wind farms. WAsP 10 (Wind Atlas Analysis and Application software) simulates the wake of various scenarios, and the selection range of wake attenuation constant is investigated by combining the cases of two offshore wind farms in the Yellow Sea region. The study found that the higher the atmospheric stability, the larger the wake and the lower the wake attenuation coefficient. The Yellow Sea wind farm’s wake error system is between 0.03 and 0.04, and the forecast error can be controlled to within 3%. When simulating the wind farm at Yellow Sea offshore for improving power generation and economic evaluation, it is critical to select the correct value range of wake decay constant.
The electric information acquisition system is a powerful support for smart grid by collecting information from users, and the acquisition success rate is required more than 99%. However, the stable operation of the system depends on the equipment performance, technology selection, mechanism, maintenance and so on. This paper is based on the current situation of the system in a province, analyzed the influence factors like management, the master station, communication and equipment, then the feasible suggestions are given according to the main factors.
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