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Multi-reservoir Operation Rules: Multi-swarm PSO-based Optimization Approach

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Abstract

Reservoir operation rules are intended to help an operator so that water releases and storage capacities are in the best interests of the system objectives. In multi-reservoir systems, a large number of feasible operation policies may exist. System engineering and optimization techniques can assist in identifying the most desirable of those feasible operation policies. This paper presents and tests a set of operation rules for a multi-reservoir system, employing a multi-swarm version of particle swarm optimization (MSPSO) in connection with the well-known HEC-ResPRM simulation model in a parameterization–simulation–optimization (parameterization SO) approach. To improve the performance of the standard particle swarm optimization algorithm, this paper incorporates a new strategic mechanism called multi-swarm into the algorithm. Parameters of the rule are estimated by employing a parameterization–simulation–optimization approach, in which a full-scale simulation model evaluates the objective function value for each trial set of parameter values proposed with an efficient version of the particle swarm optimization algorithm. The usefulness of the MSPSO in developing reservoir operation policies is examined by using the existing three-reservoir system of Mica, Libby, and Grand Coulee as part of the Columbia River Basin development. Results of the rule-based reservoir operation are compared with those of HEC-ResPRM. It is shown that the real-time operation of the three reservoir system with the proposed approach may significantly outperform the common implicit stochastic optimization approach.

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Acknowledgements

Special thanks to Hydrologic Engineering Center, Davis, CA for their great help and support specifically in giving authors the permission to use data and HEC Res-PRM as part of this research. This is an academic research and any outputs will have no relevance or application to the operation of the Columbia River system.

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Authors and Affiliations

  1. Department of Civil and Environmental Engineering, University of California, Davis, CA, 95616, USA

    Leila Ostadrahimi & Miguel A. Mariño

  2. School of Civil and Environmental Engineering, Iran University of Science and Technology, Tehran, Iran

    Abbas Afshar

Authors
  1. Leila Ostadrahimi
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  2. Miguel A. Mariño
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  3. Abbas Afshar
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Correspondence to Leila Ostadrahimi.

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Ostadrahimi, L., Mariño, M.A. & Afshar, A. Multi-reservoir Operation Rules: Multi-swarm PSO-based Optimization Approach. Water Resour Manage 26, 407–427 (2012). https://doi.org/10.1007/s11269-011-9924-9

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  • DOI: https://doi.org/10.1007/s11269-011-9924-9

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