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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2010, Vol. 11 Issue (8): 571-579    DOI: 10.1631/jzus.A0900784
Civil Engineering     
Optimal operation of multi-storage tank multi-source system based on storage policy
Hai-en Fang, Jie Zhang, Jin-liang Gao
School of Municipal and Environment Engineering, Harbin Institute of Technology, Harbin 150090, China
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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.

Key words： Multi-storage tank system      Storage policy      Genetic algorithm      Repairing scheme      Pump scheduling     
Received: 23 December 2009      Published: 02 August 2010
CLC:  TU991.31  
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Hai-en Fang
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Hai-en Fang, Jie Zhang, Jin-liang Gao. Optimal operation of multi-storage tank multi-source system based on storage policy. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2010, 11(8): 571-579.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.A0900784     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2010/V11/I8/571

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