The invention provides a variable-frequency control method and
system for
noise of an exhaust
system of a
transformer substation room based on a
genetic algorithm, and the method comprises the steps: collecting the temperature and
noise data of the
transformer substation room in real time through a distributed sensor network, and building a multi-target optimization model through the
genetic algorithm in combination with a variable-frequency speed regulation technology; and the
noise and the temperature are used as constraint conditions to be jointly solved with an optimization target. The
genetic algorithm dynamically adjusts the operation frequency of the exhaust fan through the operations of
population initialization, fitness evaluation, selection,
crossover, variation and the like, so that the requirements of
temperature control and
noise minimization are balanced. The rotating speed of the exhaust fan can be adjusted in a self-adaptive mode. Compared with a traditional single-
machine fixed
wind speed or simple linkage control method, the technology can remarkably improve the comprehensive energy efficiency of the
system, reduce energy waste and improve the operation environment of the
transformer substation room. The technology is suitable for noise and
temperature control requirements of various types of indoor transformer substations and similar scenes, and has high applicability and popularization value.