Tradeoff Analysis Index for Many-Objective Reservoir Optimization

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.

[1]  K. Deb,et al.  On Finding Pareto-Optimal Solutions Through Dimensionality Reduction for Certain Large-Dimensional Multi-Objective Optimization Problems , 2022 .

[2]  Li-Chiu Chang,et al.  Multi-objective evolutionary algorithm for operating parallel reservoir system , 2009 .

[3]  Patrick M. Reed,et al.  A framework for Visually Interactive Decision-making and Design using Evolutionary Multi-objective Optimization (VIDEO) , 2007, Environ. Model. Softw..

[4]  Guangtao Fu,et al.  Water quality permitting: From end-of-pipe to operational strategies. , 2016, Water research.

[5]  M. Wiecek 2 D Decision-Making for Multi-Criteria Design Optimization , 2006 .

[6]  Rodolfo Soncini-Sessa,et al.  A dimensionality reduction approach for many-objective Markov Decision Processes: Application to a water reservoir operation problem , 2014, Environ. Model. Softw..

[7]  D. Nagesh Kumar,et al.  Optimal Reservoir Operation Using Multi-Objective Evolutionary Algorithm , 2006 .

[8]  Julien J. Harou,et al.  Using many-objective trade-off analysis to help dams promote economic development, protect the poor and enhance ecological health , 2014 .

[9]  Bo Xu,et al.  Exploring the Relationships among Reliability, Resilience, and Vulnerability of Water Supply Using Many-Objective Analysis , 2017 .

[10]  Dimitri Solomatine,et al.  Multi-objective nested algorithms for optimal reservoir operation , 2016 .

[11]  Joseph R. Kasprzyk,et al.  Optimal Design of Water Distribution Systems Using Many-Objective Visual Analytics , 2013 .

[12]  Margaret M. Wiecek,et al.  2D decision-making for multicriteria design optimization , 2007 .

[13]  Erhard F. Joeres,et al.  The Linear Decision Rule (LDR) reservoir problem with correlated inflows: 1. model development , 1981 .

[14]  David W. Coit,et al.  Pruned Pareto-optimal sets for the system redundancy allocation problem based on multiple prioritized objectives , 2008, J. Heuristics.

[15]  Guang Yang,et al.  Multiobjective reservoir operating rules based on cascade reservoir input variable selection method , 2017 .

[16]  Rebecca Smith,et al.  Many Objective Analysis to Optimize Pumping and Releases in a Multi-Reservoir Water Supply Network , 2016 .

[17]  Friederike Wall,et al.  Coordination Mechanisms in Multi Objective Setups: Results of an Agent-Based Simulation , 2014, COIN@AAMAS/PRICAI.

[18]  Joseph R. Kasprzyk,et al.  Many-objective optimization and visual analytics reveal key trade-offs for London's water supply , 2015 .

[19]  Guo-li Wang,et al.  A Negotiation-Based Multi-Objective, Multi-Party Decision-Making Model for Inter-Basin Water Transfer Scheme Optimization , 2012, Water Resources Management.

[20]  Sangamreddi Chandramouli,et al.  Comparison of stochastic and fuzzy dynamic programming models for the operation of a multipurpose reservoir , 2011 .

[21]  Evangelos Triantaphyllou,et al.  The impact of aggregating benefit and cost criteria in four MCDA methods , 2005, IEEE Transactions on Engineering Management.

[22]  Andrea Castelletti,et al.  Many‐objective reservoir policy identification and refinement to reduce policy inertia and myopia in water management , 2014 .