An Optimized Load Shedding Approach in Power Grids to Mitigate Cascading Failure

Paper

Haidar, Ahmed, Helwig, Andreas and Moldovan, Liviu. 2025. "An Optimized Load Shedding Approach in Power Grids to Mitigate Cascading Failure." 2025 18th International Conference on Engineering of Modern Electric Systems (EMES). Oradea, Romania 29 - 30 May 2025 IEEE. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/EMES65692.2025.11045624
Paper/Presentation Title

An Optimized Load Shedding Approach in Power Grids to Mitigate Cascading Failure

Presentation TypePaper
AuthorsHaidar, Ahmed, Helwig, Andreas and Moldovan, Liviu
Journal or Proceedings TitleProceedings of 2025 18th International Conference on Engineering of Modern Electric Systems (EMES)
Number of Pages5
Year2025
PublisherIEEE (Institute of Electrical and Electronics Engineers)
Place of PublicationIEEE
ISBN9798331525774
9798331525767
Digital Object Identifier (DOI)https://doi.org/10.1109/EMES65692.2025.11045624
Web Address (URL) of Paperhttps://ieeexplore.ieee.org/document/11045624
Web Address (URL) of Conference Proceedingshttps://ieeexplore.ieee.org/xpl/conhome/11045568/proceeding
Conference/Event2025 18th International Conference on Engineering of Modern Electric Systems (EMES)
Event Details
2025 18th International Conference on Engineering of Modern Electric Systems (EMES)
Delivery
In person
Event Date
29 to end of 30 May 2025
Event Location
Oradea, Romania
Event Venue
University of Oradea
Event Web Address (URL)
Abstract

Power grid security has always been a key issue in power industry development. The paper presents an optimal approach to mitigate power blackouts by applying steady-state load shedding. The particle swarm optimization algorithm is employed in cloud computing and monitoring environments to minimize the amount of power to be shed and its location. The standard IEEE test systems have been used as a benchmark to validate the proposed approach. The preliminary results show that the system’s parameters are constrained within the safety limit. Thus, reserve generation remains connected to the power grid for additional service during grid faults. The proposed modeling and control can be used to develop planning and operational strategies for a practical power system. Features related to integrating advanced digital solutions to enhance the power grid operation and reduce downtime by improving real-time monitoring and data-driven are also presented.

Keywordsdata-driven; Steady-state load shedding; grid optimization; system monitoring
Article Publishing Charge (APC) FundingOther
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020400805. Electrical energy transmission, networks and systems
Public Notes

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Byline AffiliationsUniversity of Malaysia, Sarawak, Malaysia
University of Southern Queensland
University of Oradea, Romania
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