Eagle strategy-based crow search algorithm for UCP: integration of pumped storage units in smart grid environment
Adil Rizki, Rachid Habachi, Karim Tahiry, Abdelwahed Echchatbi
Abstract
This paper proposes a hybrid eagle strategy with crow search algorithm (ES-CSA) as local optimizer to solve the unit commitment problem (UCP) in power systems. The algorithm aims to minimize total operational costs while considering pumped storage units as spinning reserves. The proposed methodology combines the exploration capability of ES with CSA's local search efficiency to determine optimal generator scheduling and power dispatch. The approach is validated using standard test cases from the literature, demonstrating improved convergence and cost reduction compared to existing methods. Results confirm the effectiveness of integrating pumped storage units in reducing overall system costs while maintaining reliable operation.
Keywords
Crow search algorithm; Eagle strategy; Pumped storage; Smart grid; Unit commitment problem
DOI:
https://doi.org/10.11591/eei.v14i2.4037
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Bulletin of Electrical Engineering and Informatics (BEEI) ISSN: 2089-3191, e-ISSN: 2302-9285 This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU) .