Journal
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
Volume 24, Issue 4, Pages 1308-1316Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCST.2015.2498140
Keywords
Dynamic programming (DP); energy saving; pumping station; time-of-use (TOU) electricity pricing; water supply system
Funding
- National Natural Science Foundation of China [61272114]
- Marine Renewable Energy Special Fund Project through the State Oceanic Administration of China [GHME2013JS01]
- Invention Patent of China [CN101860288A]
Ask authors/readers for more resources
An optimal mathematical model studying the large number of distributed water supply systems powered by a two-stage pump station is discussed in this paper. Considering rural water demand and time-of-use electricity pricing, which will have an impact on operation cost, a mathematical model is established to minimize the electricity consumption of system operation. An improved dynamic programming algorithm (IDPA) is achieved in optimal control of the system that shows the advantage of reducing the cost of electricity consumption through the application of a rural deep well water supply system at a high-altitude area. In the simulations, the IDPA can significantly reduce the energy cost, compared with a conventional water level control approach. And it also displays the advantage of the reduction in the computational time compared with the branchand- bound algorithm. The result of the application shows a successful energy optimization model. The study could be a useful solution for energy saving in municipal engineering, including water supply, sewage treatment, and drainage.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available