Campus electric heating soft start method based on improved grey wolf optimization algorithm

Abstract

The invention discloses a campus electric heating soft start method based on an improved grey wolf optimization algorithm. The campus electric heating soft start method comprises the following steps:step 1, carrying out grade classification on various rooms in a campus; 2, dividing the load input power corresponding to each classification level into a plurality of power inputs; 3, obtaining the relationship between the temperature rise data and the heating power in unit time; 4, establishing a moderate function model; and step 5, searching the model through an improved grey wolf optimizationalgorithm, outputting the optimal power input of each classification level, and performing electric heating power control on rooms of different classification levels according to the power. The starting mode of campus electric heating is improved, the input power is optimized, and meanwhile the capacity increasing problem of a transformer in the starting process is avoided. The scheduling of the input power is optimized by actually measuring the temperature rise of the campus electric heating distributed control system so as to reduce the starting current, and the capacity increasing cost of the transformer is saved.

Description

technical field [0001] The invention relates to the field of swarm intelligence optimization algorithm and soft start of electric heating, in particular to a soft start control strategy of electric heating based on the improved gray wolf optimization algorithm. Background technique [0002] Campuses in Northeast my country and North China are severely cold and dry. In order to improve the indoor temperature environment, central heating is generally used in winter. In foreign countries, since the early 1970s, electric heating technology has entered a period of fully automatic control. Research started late, but theoretical research did not lag behind. In general, my country has reached the leading level in terms of electrothermal materials, electric heating and heat storage technology, but the control technology and popularization are limited. In the northern part of my country, some campuses are equipped with electric heating distributed control systems, and the purpose is to...

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Problems solved by technology

However, as far as the heating of campus buildings is concerned, the functions of each heating room are different, the use time is inconsistent, and the required heating time and temperature are also different. For example, the heating requirements of office buildings, auditoriums, laboratories, classrooms, libraries, etc. are different. Some do not need 24-hour heating. Traditional heating equipment does not have an automatic temperature adjustment device. Electric heating, as a heating method that uses electricity to provide energy, needs to consider the problem of transformer non-increasing capacity during the start-up process, so attention must be paid when starting up To avoid excessive starting current, in order to achieve the optimal power during the starting process, while taking into account the soft start characteristics of graded heating, this paper aims to explore a new soft start strategy for the distributed control system of campus electric heating. Find a balance among them, design a suitable fitness function in combination with influencing factors, and use the improved gray wolf optimization algorithm for iterative optimization

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