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Towards Sustainable Integration of STATCOM and DGs Based Radial Distribution Systems Using Dynamic Adaptive Aquila Optimizer by Belkacem Mahdad is a Business, Management and Accounting article available to read on EtoBox.

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This paper focuses on the application of a new metaheuristic method, namely, the Dynamic Aquila Optimizer Algorithm (DAAOA), to improve the performances of large radial distribution system (RDS). The proposed power management strategy aims to optimize the reactive and active power flow in the RDS by integrating and controlling multi-shunt compensatorsbased STATCOM devices and multi-distributed generation (DG) units. To relieve the major drawbacks of the standard AOA, a new variant namely DAAOA is proposed. The first modification introduced in the proposed variant is associated with the expanded exploration; however, the second modification introduced is related to narrowed exploitation by creating dynamic adjustment of the two coefficients (G1 and G2) using "sine" and "cosine" functions. The dynamic aspect of these two proposed modifications allows creating adequate diversity in the search space and improving the intensification process, this will led to improve greatly the convergence behavior of the standard algorithm and reduce the number of trials required in particular in solving large-scale problems. In the first scenario, the particularity of the proposed variant against the

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Author

Belkacem Mahdad

Publisher

Springer Science and Business Media LLC

Published

2022

Language

EN

Field

Business, Management and Accounting (Physical Sciences)