EPRO PR6426/010-010+CON021 涡流传感器

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Time tracking mode: it is mostly used in uniaxial tracking system. It is a predetermined rotational speed tracking, that is, it takes the earth's rotation one week for a period of 24h, and the hour Angle of the sun's motion changes at a uniform rate from east to west, which happens to be a clock of 24h, so it is also called time Angle tracking.
User program tracking mode: this tracking mode is mainly the use of the controller, according to the special requirements of the user can be compiled in line with the control requirements of the control program. For example, the position of the sun can be tracked through the feedback of the position sensor, combined with the elevation (inclination) of the tracking bracket, in order to achieve the maximum amount of radiation obtained by the solar cell module.
Used at home and abroad after day tracking method for real-time positioning tracking or too point tracking methods, drawback is that the two way within two hours before sunrise and sunset, due to the large Angle tracking, if are constrained by the venue size, east or west of stents will almost keep out behind him, so if it is in a large power station, This part of the time the light will not reach the conditions of the inverter to start power generation. In order to better use of the four hours of light conditions, improved the utilization of sunlight, increasing the control mode of east and sunset phase and two patterns, the two models using non real-time location tracking, but according to the principle of not keep out the intermittent start or a night, this way can make better use of sunshine time long days of solar radiation, increase capacity, Raise yields.
The rapid development of modern photovoltaic technology has brought new technologies and challenges to the development of power grid. The single-axis sun tracking control system based on PLC is used to provide a more flexible and reliable solution to improve the power generation efficiency and benefits of photovoltaic power stations, and effectively improve the intelligent management problem between energy power generation systems.