Application of tabu search heuristic algorithms for the purpose of energy saving in optimal load distribution strategy for multiple chiller water units

Abstract

Tabu search algorithm has been applied to solve the optimal load distribution strategy problem for the cooling system constituted by multiple chiller water units, which has the characteristic such as complexity, constraint, nonlinearity, modeling difficulty, etc. The tabu search algorithms based on the neighborhood search can avoid the local optimization avoidance and has the artificial intelligence memory mechanism. In this paper, two chiller water units connected in parallel working using the tabu algorithm was observed. Compared with the conventional method, the results indicated that the tabu search algorithms has much less power consumption and is very suitable for application in air condition system operation.