CLC number: TU991.31
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2010-07-15
Cited: 4
Clicked: 7015
Hai-en Fang, Jie Zhang, Jin-liang Gao. Optimal operation of multi-storage tank multi-source system based on storage policy[J]. Journal of Zhejiang University Science A, 2010, 11(8): 571-579.
@article{title="Optimal operation of multi-storage tank multi-source system based on storage policy",
author="Hai-en Fang, Jie Zhang, Jin-liang Gao",
journal="Journal of Zhejiang University Science A",
volume="11",
number="8",
pages="571-579",
year="2010",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A0900784"
}
%0 Journal Article
%T Optimal operation of multi-storage tank multi-source system based on storage policy
%A Hai-en Fang
%A Jie Zhang
%A Jin-liang Gao
%J Journal of Zhejiang University SCIENCE A
%V 11
%N 8
%P 571-579
%@ 1673-565X
%D 2010
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A0900784
TY - JOUR
T1 - Optimal operation of multi-storage tank multi-source system based on storage policy
A1 - Hai-en Fang
A1 - Jie Zhang
A1 - Jin-liang Gao
J0 - Journal of Zhejiang University Science A
VL - 11
IS - 8
SP - 571
EP - 579
%@ 1673-565X
Y1 - 2010
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A0900784
Abstract: A two-stage method is developed to solve a new class of multi-storage tank multi-source (MTMS) systems. In the first stage, the optimal storage policy of each tank is determined according to the electricity tariff, and the ground-level storage tank is modeled as a node. In the second stage, the genetic algorithm, combined with a repairing scheme, is applied to solve the pump scheduling problem. The objective of the pump scheduling problem is to ensure that the required volume is adequately provided by the pumps while minimizing the operation cost (energy cost and treatment cost). The decision variables are the settings of the pumps and speed ratio of variable-speed pumps at time steps of the total operational time horizon. A mixed coding methodology is developed according to the characteristics of the decision variables. Daily operation cost savings of approximately 11% are obtained by application of the proposed method to a pressure zone of S. Y. water distribution system (WDS), China.
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