Modeling energy scheduling in the smart isolated electrical grid based on demand management

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Habibullah, Harikumar Pallathadka, Jamal K. Abbas, Munqith Saleem, Karrar Shareef Mohsen, Kadhim Abbas Jabbar, Ahmed Hussien Radie Alawady, Ali Hashiem Alsaalamy

2024 Multiscale and Multidisciplinary Modeling, Experiments and Design Vol. 7 Issue 3 Article Cited by 3 Quartile

Abstract

This study examines the efficient scheduling of the smart isolated electrical grid (SIEG) based on technical and economic indicators. A proposed strategy, known as load demand management, aims to enhance the technical and economic performance during operation. Specifically, load demand management is implemented by considering consumer bid prices for demand reduction during emergency situations. The main objectives of this study include minimizing operation costs, maximizing reliability, and improving voltage index through a multi-criteria modeling approach. To optimize the multi-criteria problem, the shuffled frog leaping algorithm (SFLA) is employed. The desired optimal solution within the non-dominated solutions is obtained using the TOPSIS. Finally, the effectiveness and validation of the proposed strategy are demonstrated through the application of these strategies in two case studies using the IEEE-33 bus test system. The case studies based on non-participation and participation of the load demand management in the SIEG is implemented. With participation of the load demand management, operation cost, reliability, and voltage index are improved by 3.49%, 2.66%, and 3.8% than non-participation of the load demand management © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023.

Affiliations

Departemen Teknik Elektro and Instrumentation, Control and Automation Research Group, Universitas Negeri Padang, Padang, Indonesia; Manipur International University, Manipur, Imphal, India; Department of Medical Laboratories Technology, Al-Nisour University College, Baghdad, Iraq; Medical Technical College, Al-Farahidi University, Baghdad, Iraq; Information and Communication Technology Research Group, Scientific Research Center, Al-Ayen University, Thi Qar, Iraq; Technical Engineering College, National University of Science and Technology, Dhi Qar, Iraq; College of Technical Engineering, The Islamic University, Najaf, Iraq; College of Technical Engineering, Imam Ja’afar Al‐Sadiq University, Al‐Muthanna, 66002, Iraq