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Robust Diversity-based Sine-Cosine Algorithm for Optimizing Hydropower Multi-reservoir Systems

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Abstract

Hydropower energy generation depends on the available water resources. Therefore, planning and operation of the water resource systems are paramount tasks for energy management. Since reservoirs are one of the important components of water resources systems, extracting optimal operating policies for proper management of energy generated from these systems is an imperative step. Optimizing reservoir system operation (ORSO) is a non-linear, large-scale, and non-convex problem with a large number of constraints and decision variables. To solve ORSO problem effectively, a robust diversity-based, sine-cosine algorithm (RDB-SCA) is developed in the present study by introducing several strategies to balance the global exploration and local exploitation ability and to achieve accurate and reliable solutions. An efficient linear operation rule is coupled with the RDB-SCA to maximize the energy generation. The proposed method is then applied to a real-world, multi-reservoir system to extract optimal operational policies and, consequently, maximize the energy production. It is shown that the RDB-SCA is able to generate 24, 14, and 6% more energy than the original SCA, respectively for 2-, 3-, and 4-reservoir systems. The present findings are useful to suggest guidelines for efficient operation of hydropower multi-reservoir systems. This paper is supported by https://imanahmadianfar.com/codes.

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Availability of Data and Materials

All data used in the study are available from the corresponding author by request.

Code Availability

The source codes of the paper and online web service for any question and supplementary material including all equations of the algorithms will be publicly available at http://imanahmadianfar.com.

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Authors and Affiliations

  1. Department of Civil Engineering, Behbahan Khatam Alanbia University of Technology, Behbahan, Iran

    Iman Ahmadianfar & Saeed Noshadian

  2. Institute for Technology and Resources Management in the Tropics and Subtropics (ITT), Technische Hochschule Köln - University of Applied Sciences, Betzdorferstr. 2, 50679, Cologne (Deutz), Germany

    Nadir Ahmed Elagib

  3. Institute of Geography, Faculty of Mathematics and Natural Sciences, University of Cologne, Albertus-Magnus-Platz, 50923, Köln, Germany

    Nadir Ahmed Elagib

  4. Department of Water Engineering, Faculty of Water & Soil Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran

    Meysam Salarijazi

Authors
  1. Iman Ahmadianfar
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  2. Saeed Noshadian
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  3. Nadir Ahmed Elagib
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  4. Meysam Salarijazi
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Contributions

Iman Ahmadianfar: Conceptualization, Methodology, Software, Validation, Formal analysis, Writing-Original Draft, Writing-Review & Editing, Saeed Noshadian: Methodology, Software, Validation, Formal analysis, Writing-Original Draft, Nadir Ahmed Elagib: Writing-Review & Editing, Formal analysis, Supervision, Visualization, Investigation, Meysam Salarijazi: Writing-Review & Editing, Formal analysis, Visualization, Investigation.

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Correspondence to Iman Ahmadianfar.

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Ahmadianfar, I., Noshadian, S., Elagib, N.A. et al. Robust Diversity-based Sine-Cosine Algorithm for Optimizing Hydropower Multi-reservoir Systems. Water Resour Manage 35, 3513–3538 (2021). https://doi.org/10.1007/s11269-021-02903-6

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