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Tradeoff Analysis Index for Many-Objective Reservoir Optimization

Author

Listed:
  • Rong Tang

    (Dalian University of Technology)

  • Wei Ding

    (Dalian University of Technology)

  • Lei Ye

    (Dalian University of Technology)

  • Yuntao Wang

    (Dalian University of Technology)

  • Huicheng Zhou

    (Dalian University of Technology)

Abstract

There exists complicated competitive and synergetic relationships among the objectives in the multi-objective problems, which is hard to quantify and brings difficulty for decision making. Existing studies focus on the tradeoff analysis qualitatively and are lack of quantitative calculation. This study proposes a tradeoff analysis index called Conflict Evaluation Index (CEI) for quantitative many-objective conflict evaluation and tradeoff analysis using Pareto optimal solutions. The index is applied into a six-objective reservoir operation problem. In the application, a reservoir operation optimization model including two electricity objectives and four water supply objectives is established and Pareto optimal solutions are obtained with ε-NSGAII. CEI values of any two objectives are calculated under four water demand scenarios. The results show that the conflict degrees among six objectives become more fierce with the increase of water demands and the major conflict is shifted from electricity objectives to water supply objectives. Besides, the CEI values are applied to determine the objective weights and recommend the best solutions. Objectives of intensive conflict are assigned a large weight, and solutions with better performance in those objectives are recommended. The application illustrates that the proposed index is rational and can be instrumental for insightful many-objective analysis and informed decision making.

Suggested Citation

  • Rong Tang & Wei Ding & Lei Ye & Yuntao Wang & Huicheng Zhou, 2019. "Tradeoff Analysis Index for Many-Objective Reservoir Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(13), pages 4637-4651, October.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:13:d:10.1007_s11269-019-02363-z
    DOI: 10.1007/s11269-019-02363-z
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    References listed on IDEAS

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    1. Chi Zhang & Guoli Wang & Yong Peng & Guolei Tang & Guohua Liang, 2012. "A Negotiation-Based Multi-Objective, Multi-Party Decision-Making Model for Inter-Basin Water Transfer Scheme Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(14), pages 4029-4038, November.
    2. M. Reddy & D. Kumar, 2006. "Optimal Reservoir Operation Using Multi-Objective Evolutionary Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(6), pages 861-878, December.
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    Cited by:

    1. Rong Tang & Ke Li & Wei Ding & Yuntao Wang & Huicheng Zhou & Guangtao Fu, 2020. "Reference Point Based Multi-Objective Optimization of Reservoir Operation: a Comparison of Three Algorithms," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(3), pages 1005-1020, February.
    2. Zhenhui Wu & Yadong Mei & Bei Cheng & Tiesong Hu, 2021. "Use of a Multi-Objective Correlation Index to Analyze the Power Generation, Water Supply and Ecological Flow Mutual Feedback Relationship of a Reservoir," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(2), pages 465-480, January.
    3. Motahareh Saadatpour & Fardin Kamali, 2022. "A Novel Approach to the Optimization of the Spatial Distribution of the Multiple Crop Pattern on a River Basin Scale," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(14), pages 5565-5580, November.

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