A Mine Ventilation System Energy Saving Technique Based on an Improved Equilibrium Optimizer

Over the years, ventilation systems used in coal mines have become more and complex. Due to a lack of scientific effective management, energy consumed by has rapidly increased, resulting considerable wasted energy. To solve this problem, authors established nonlinear optimization model aimed at minimizing total consumption mine network. Furthermore, propose an improved equilibrium optimizer algorithm model. First, population is initialized chaotic map. Second, adjustment strategy trigonometric function introduced improve index F , which improves global development ability algorithm, avoids falling into local optimum, can search later stages. Then, Gaussian disturbance enhance diversity particles avoid optimum. Finally, learning factor was generation rate id="m2">G algorithm’s integrity; it then compared with other algorithms. The simulation results show that performance significantly better than It tested system Wangjialing Zhongmei Huajin Energy Co., Ltd. showed reduced 17.83%. This method save about 2 million yuan RMB every year. economic effect remarkable, we achieved purpose conservation emission reduction, effectiveness proposed verified.