Optimal Load Distribution Strategy for Multiple Chiller Water Units Based on Adaptive Genetic Algorithms

For the complexity, constraint, nonlinearity, modeling difficulty of the multiple chiller water units, an approach using adaptive genetic algorithm method to solve the optimal chiller load distribution and to improve the deficiencies of conventional methods is presented in this paper. As an example, 2 chiller water units connected in parallel working using the proposed method was observed. Compared with the conventional method, the results indicated that the adaptive genetic algorithms method has much less power consumption and is very suitable for application in air condition system operation.