Please use this identifier to cite or link to this item: https://lib.hpu.edu.vn/handle/123456789/35118
Title: An Enhanced Moth Flame Algorithm for Peak Load Distribution Optimization
Authors: Đào, Thị Kiên
Nguyễn, Thị Xuân Hương
Nguyễn, Trọng Thể
Đào, Minh Thu
Keywords: Peak load distribution optimization
Regulation load distribution power
Peak shaving cost
Enhanced moth flame algorithm
Issue Date: 2022
Publisher: Springer
Abstract: Peak load distribution optimization (PLD) is a typical multi-constrained nonlinear optimization problem considered an essential vital part of the power system to achieve energy-saving and consumption reduction. This study introduces an enhanced version of the moth flame optimization algorithm (EMFO) for the PLD problem. The actual operation constraints of the power system of the PLD are modeled for the objective function of optimization. In the experimental section, the IEEE-bus benchmark system is used as the case study to test the performance of the proposed scheme. The results show that the proposed scheme can solve the power system PLD problem with feasibility and significant economic benefits.
URI: https://lib.hpu.edu.vn/handle/123456789/35118
Appears in Collections:Bài báo khoa học



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