Intelligent tracking control device and method suitable for photovoltaic tracking

Abstract

The invention relates to an intelligent tracking control device for photovoltaic tracking, which includes a centralized control part and a plurality of sub control parts which communicate through wireless networking. The centralized control part includes a main controller, meteorological data acquisition equipment and GPS equipment. Each sub control part includes a sub controller, and a sampling module, a storage module, a driving module, a power module and a communication module which are connected with the sub controller. The main controller calculates the tracking angle of each photovoltaictracking bracket according to the data of the photovoltaic tracking bracket, the meteorological data, the geographic location information and the world clock information, and transmits the tracking angle to the corresponding sub controller. Each sub controller calculates the tracking angle of the corresponding photovoltaic tracking bracket, and generates a motor control signal to control a motoraccording to the tracking angle calculated by the main controller and the working mode. Intelligent tracking control with higher accuracy and higher reliability can be realized. The device has variousfunctions. The algorithm structure is reasonable, and the logic is clear.

Description

technical field [0001] The invention belongs to the field of solar photovoltaic power generation, and relates to an intelligent tracking control device and method suitable for photovoltaic tracking. Background technique [0002] With the vigorous development of the new energy industry, the gradual deepening of solar photovoltaic development, and the gradual reduction of industry subsidies, reducing the cost of electricity has become a problem that practitioners in the solar photovoltaic industry have to face. As one of the most effective ways to reduce the cost of electricity, the application of solar tracking brackets is being mentioned and used more and more. The reliability and intelligence of the tracking system, especially the controller, has become the biggest concern of practitioners and owners. Most of the current photovoltaic tracking systems use simple closed-loop control or even open-loop control to achieve tracking. The cost of these similar solutions is relati...

AI Technical Summary

Problems solved by technology

According to statistics, the controller failure accounts for more than 70% of the failures of the photovoltaic tracking system, because the loss of power generation caused by inaccurate tracking control, and ultimately the loss of revenue of the entire power station are more cases

It is for these reasons that although China has been the world leader in photovoltaic installed capacity many years ago, the large-scale use of tracking brackets has been cautious and slow.

The main disadvantages of the traditional tracking control strategy are: 1) The existing controllers only start from the tracking bracket itself, only consider the simple function realization, and do not plan the positioning of the product from the perspective of the entire power station system, resulting in the functional planning of the controller Unreasonable; 2) Practitioners of photovoltaic tracking brackets do not pay enough attention to software control strategies, the design of software algorithm architecture is not reasonable enough, and the logical thinking is not clear enough, which has formed a major obstacle to the realization and upgrading of product functions; 3) Existing control strategies The idea structure is single, the function is single, and functions such as remote debugging, intelligent fault prediction, remote fault troubleshooting and repair cannot be realized

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