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A Determination Method of Energy Saving Optimal Control Strategy for Water Cooling Storage Air Conditioning System Based on Genetic Ant Colony Algorithm
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An air conditioning system, optimization control technology, applied in the direction of genetic law, heating and ventilation control system, heating and ventilation safety system, etc.
Active Publication Date: 2019-08-13
SHANDONG UNIV
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However, there is no precedent for applying the genetic ant colony algorithm to the technical field of air conditioning optimal control in the prior art
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Embodiment 1
[0061] Such as Figure 1-3 shown.
[0062] A method for determining an energy-saving optimal control strategy for a water-cooled storage air-conditioning system based on a genetic ant colony algorithm, comprising the following steps:
[0070] Among them, P(x)=P(T 1 , T 2 , M 1 , M 2 , M A ), T 1 For cooling water supply temperature, T 2 Water supply temperature for chilled water, M 1 is the cooling water pump flow rate, M 2 is the chilled water pump flow rate, M A is the air flow rate of the cooling tower fan; T 1.min , T 2.min , M 1.min , M 2.min and M A.min Respectively represent the minimum values that ...
Embodiment 2
[0074] The method for determining the energy-saving optimization control strategy of the water-cooled storage air-conditioning system based on the genetic ant colony algorithm described in Example 1, the difference is that the specific process of the step 2 is:
[0075] A1. Define five sample spaces, the five sample spaces are sample spaces 1 to 5 respectively, and the sample points of five control parameters are stored in the five sample spaces; the number of sample points in the five sample spaces is N 1 , N 2 , N 3 , N 4 , N 5 ; The sample points in each sample space are generated according to the following rules:
[0076] The five control parameters T 1 , T 2 , M 1 , M 2 , M A The range of values is equally divided into N 1 -1, N 2 -1, N 3 -1, N 4 -1, N 5 -1 equal division, the upper and lower limits of the value range of each control parameter and the values at all equal division points are stored as sample points in the sample space 1 to 5;
[0077] A2....
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Abstract
The invention relates to a genetic ant colony algorithm based determination method for a water cool storage air-conditioning system energy-saving optimal control strategy. An energy consumption model of a water cool storage air-conditioning system is built and serves as an objective function, the advantages of high convergence rate and high accuracy after combination of a genetic algorithm and an ant colony algorithm are used for conducting optimizing, a globally optimal solution is found and serves as an optimum control parameter, and the energy-saving optimal control strategy is determined.
Description
technical field [0001] The invention relates to a method for determining an energy-saving optimal control strategy of a water-cooled storage air-conditioning system based on a genetic ant colony algorithm, and belongs to the technical field of air-conditioning optimal control. Background technique [0002] With the rapid development of my country's economy and the rapid development of the tertiary industry, public buildings occupy a large share in new buildings. Among them, central air-conditioning is widely used, and the energy consumption of central air-conditioning accounts for about 40% of the total energy consumption of public buildings. . The air conditioning load in many cities can reach 50% of the peak load of the local grid. Therefore, the energy-saving research in the field of air-conditioning has become a very important part of my country's energy-saving work, and the research on energy-saving of air-conditioning is of great significance to energy conservation. ...
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