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Joint-Probabilistic Double-Sided Random Interval Programming for Booster Optimization in Water Distribution Network

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  • Yumin Wang

    (Southeast University)

Abstract

In this paper, a joint-probabilistic double-sided random interval chance-constrained programming (JDRICCP) model was proposed to deal with the random and interval uncertainties in both sides of the constraints and nodal joint probability in booster cost optimization of water distribution system (WDS). The JDRICCP model was applied to two Cases to verify the efficiency of the method on the booster cost optimization under uncertainty. After formulating the JDRICCP model, the booster costs under various violation levels based on four nodal importance measures can be obtained for two Cases. The results indicated that the booster costs are only affected by lower violation probability, and decreased with the rise of violation levels. In addition, the booster costs are closely related to the nodal importance measures. By comparing the booster costs under random interval variables and random variables, the results indicated that under random interval variables the booster costs are less than that under random variables. The results obtained can provide more information for managers to make boosters schemes under dual uncertainties of random and interval.

Suggested Citation

  • Yumin Wang, 2023. "Joint-Probabilistic Double-Sided Random Interval Programming for Booster Optimization in Water Distribution Network," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(1), pages 501-520, January.
    • Handle: RePEc:spr:waterr:v:37:y:2023:i:1:d:10.1007_s11269-022-03383-y
    DOI: 10.1007/s11269-022-03383-y
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    References listed on IDEAS

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    1. L. Cimorelli & F. Morlando & L. Cozzolino & A. D’Aniello & D. Pianese, 2018. "Comparison Among Resilience and Entropy Index in the Optimal Rehabilitation of Water Distribution Networks Under Limited-Budgets," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(12), pages 3997-4011, September.
    2. Shipeng Chu & Tuqiao Zhang & Xinhong Zhou & Tingchao Yu & Yu Shao, 2022. "An Efficient Approach for Nodal Water Demand Estimation in Large-scale Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(2), pages 491-505, January.
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