Storage targets optimization embedded with analytical hedging rule for reservoir water supply operation
Author(s) -
Jing Wang,
Xiaohui Lei,
Xiang Zeng,
Muhammad Yasir
Publication year - 2017
Publication title -
water science and technology water supply
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 39
eISSN - 1607-0798
pISSN - 1606-9749
DOI - 10.2166/ws.2017.145
Subject(s) - water supply , embedding , economic shortage , water storage , computer science , control (management) , mathematical optimization , operations research , environmental science , engineering , environmental engineering , mathematics , mechanical engineering , linguistics , philosophy , artificial intelligence , government (linguistics) , inlet
A two-period model is widely used to derive optimal hedging rules for reservoir water supply operation, often with storage targets as the goal to conserve water for future use. However, the predetermined storage targets adopted in the two-period model result in shortsighted decisions without considering the control of long-term reservoir operation. The purpose of this paper is to propose a new model to seek a more promising water supply operation policy by embedding the hedging rule derived from the two-period model in an optimization program for storage targets. Two modules are incorporated in the new model: the two-period model for optimizing water release decisions in each period with given storage targets and the optimization module to determine the optimal values of storage targets for connecting different periods. The Xujiahe water supply system is taken as a case study to verify the effectiveness of the proposed model. The results demonstrate that the new model is superior to others based on standard operation policy or rule curves during droughts and reduces the maximum water shortage.
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