Energy Saving Schedule of Mine Drainage System Based on Particle Swarm Optimization

Abstract

During mine construction and production, drainage system cost is the main component, so it is valuable to optimize its schedule to reduce the cost. Since many mines use time-of-use electricity, the paper proposes an algorithm to obtain the best schedule. The algorithm consists of two steps: predicting the water level using exponential moving average, and solving the optimal scheduling problem using particle swarm optimization. The particle swarm optimization is improved to make it fast convergent. Experiments are performed with the real data of a gold mine in China, and the result show that the proposed algorithm can reduce cost distinctly.