Optimizing switch placement and status for sustainable grid operation and effective distributed generation integration using the APGSK-IMODE algorithm
Year: 2024
Type: article
Abstract: The paper examines the critical role of switch placement and optimal maneuver selection in distribution grids to enhance both voltage quality and reliability. It utilizes the Adaptive Parameter Gaining Sharing Knowledge-based Improved Multi-Operator Differential Evolution (APGSK-IMODE) algorithm to determine the optimal locations and statuses of switches for these improvements. Additionally, the impact of integrating distributed generation sources on grid voltage profiles and reliability is assessed. The research evaluates three distinct scenarios: improving voltage profiles, enhancing reliability indices, and achieving simultaneous improvements in both. The results show that integrating distributed generation sources positively impacts voltage profile enhancement and grid reliability, with significant improvements observed postinstallation. Furthermore, a comparative analysis of optimization algorithms demonstrates the superior performance and accuracy of the APGSK-IMODE algorithm over other methods.
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,030
Funder: Wonkwang University
OpenAlex ID: W4404457522
