Oil-immersed transformer cooling control method based on temperature rise and load rate

Abstract

The invention discloses an oil-immersed transformer cooling control method based on temperature rise and load rate. The method comprises the following steps: 1) collecting a transformer off-line and on-line data, 2) establishing a transformer hot spot temperature theta hs calculation model, and solving the current hot spot temperature theta hs of the transformer by adopting a Runge-Kutta method; 3) performing the sliding range processing on the real-time data of the transformer top oil temperature theta top, the winding hot spot temperature theta hs, and the load rate K, 4) formulating a cooling system control strategy; and 5) adjusting the operation mode of the cooling system, and improving the safety and reliability of the transformer. According to the method, input data are preprocessed, frequent switching caused by fluctuation of the temperature or the load of the transformer cooling system near the threshold value is avoided, and the safety and reliability of the cooling system and the transformer are improved. Meanwhile, the heat state evaluation accuracy of the transformer is improved by integrating various information, and a foundation is laid for fine management of the cooling system.

Description

technical field [0001] The invention belongs to the technical field of intelligent control of transformer cooling systems, in particular to an oil-immersed transformer cooling control method based on temperature rise and load rate. Background technique [0002] The cooling system is an important auxiliary equipment of the transformer. The reliability of its switching and different operation modes are directly related to the safe and stable operation of the transformer and the actual load capacity. The power loss generated by the transformer during operation will cause self-heating. If the heat cannot be dissipated in time, the reliable operation of the transformer will be endangered. On the other hand, although increasing the number of coolers can improve the heat dissipation efficiency of the transformer and reduce its internal temperature, too many coolers will also cause unnecessary waste of resources. Therefore, judging the actual operation of the transformer based on t...

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Problems solved by technology

Looking at the existing cooling system control methods, there are still the following problems: 1) The cooling system is only divided into two operating modes: full input and full cut-off, which is not convenient for fine management and energy saving; 2) The role of the external environment is ignored , manage the cooling system of

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