In this study, Rao algorithms (metaphor-less heuristic algorithms) are applied to derive the optimal operational releases of the Mula reservoir, Upper Godavari basin. The optimal operation releases for 75% probable inflows are compared to the optimal operational releases obtained from Jaya Algorithm (JA) and Non Linear Programming (NLP). Simulation studies are carried out using real inflows corresponding to 75% probable inflows. The results show that Rao algorithms provided better and comparable results to the result obtained from JA and NLP. Rao algorithms are found to be suitable in application to reservoir operation studies.

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Optimal Reservoir Operation Using Rao Algorithms

  • V. Paliwal,
  • A. D. Ghare,
  • A. B. Mirajkar

摘要

In this study, Rao algorithms (metaphor-less heuristic algorithms) are applied to derive the optimal operational releases of the Mula reservoir, Upper Godavari basin. The optimal operation releases for 75% probable inflows are compared to the optimal operational releases obtained from Jaya Algorithm (JA) and Non Linear Programming (NLP). Simulation studies are carried out using real inflows corresponding to 75% probable inflows. The results show that Rao algorithms provided better and comparable results to the result obtained from JA and NLP. Rao algorithms are found to be suitable in application to reservoir operation studies.