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Maximizing Renewable DG Hosting Capacity under Load and Generation Uncertainty Using Multi-Objective Optimization

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Abstract:

In this study, distributed generators (DGs) based on renewable energy sources (RESs), besides capacitor banks are optimally allocated in power distribution networks with a proposed multi-objective optimization approach. The proposed approach is used to maximize the hosting capacity (HC) of RES DGs besides decreasing energy loss and voltage deviation in power networks. Uncertainties of load demand and RESs are considered. To facilitate the optimization processes, reduction criterion is utilized for reducing the numerous numbers of uncertain data. The proposed approach is applied to practical and standard power networks for many cases under the uncertain scenarios. Comparative study with other algorithms is performed and robustness of proposed approach is verified in long-term dynamic environment. Also, impacts of changing parameters values on performance are investigated. Additionally, Wilcoxon statistical tests are applied with the proposed approach. Also, comparative study is carried out between weighted sum and Pareto front techniques. Results reveal efficacy of the proposed approach with distribution power networks.

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International Journal of Engineering Research in Africa Vol. 76 View Preview

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Periodical:

International Journal of Engineering Research in Africa (Volume 76)

Pages:

53-91

DOI:

https://doi.org/10.4028/p-BXn0Sy

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Online since:

November 2025

Authors:

Abdallah Nazih*, Adel A. Abou El Ela, Eman Salah Ali

Keywords:

Distributed Generators (DGs), Hosting Capacity (HC), Pareto Front, Renewable Energy Sources (RESs), Uncertainty, Whale Optimization Approach (WOA), Wilcoxon Test

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© 2025 Trans Tech Publications Ltd. All Rights Reserved

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