Optimization of Pumping Station Energy ConsumptionModel Based on Improved PSO Algorithm

DOI

10.2991/978-94-6463-108-1_68How to use a DOI?

Keywords

wastewater treatment plant; pumping station energy saving; improved particle

Abstract

In order to solve the problems of low operating efficiency and high operating cost of pumping stations in wastewater treatment plants, a model with the minimum daily power consumption cost of pumping stations as the optimization objective is established. Taking the improved particle swarm optimization algorithm as the model solving algorithm, through the practical application of the sewage pumping station, it is found that the improved particle swarm is far superior to the basic particle swarm in the stability of the algorithm. Under the improved particle swarm optimization algorithm, the daily power consumption of the sewage pumping station optimization scheme is lower than that of the basic particle swarm and the empirical scheme.

Copyright

© 2022 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Bangrong Hu
AU  - Xiaoguang Xu
AU  - Xin Zhang
PY  - 2022
DA  - 2022/12/30
TI  - Optimization of Pumping Station Energy ConsumptionModel Based on Improved PSO Algorithm
BT  - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
PB  - Atlantis Press
SP  - 611
EP  - 617
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-108-1_68
DO  - 10.2991/978-94-6463-108-1_68
ID  - Hu2022
ER  -