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Energy Saving Schedule of Mine Drainage System Based on Particle Swarm Optimization
| Content Provider | Scilit |
|---|---|
| Author | Sang, Jinguo Cui, Huanqing |
| Copyright Year | 2019 |
| Description | Journal: Journal of Physics: Conference Series 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. |
| Related Links | https://iopscience.iop.org/article/10.1088/1742-6596/1168/2/022001/pdf |
| ISSN | 17426588 |
| e-ISSN | 17426596 |
| DOI | 10.1088/1742-6596/1168/2/022001 |
| Journal | Journal of Physics: Conference Series |
| Issue Number | 2 |
| Volume Number | 1168 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2019-02-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of Physics: Conference Series Industrial Engineering Energy Saving Particle Swarm Optimization |
| Content Type | Text |
| Resource Type | Article |
| Subject | Physics and Astronomy |
