基于模糊萤火虫算法的最优潮流

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI:10.1109/EECSI.2018.8752903

D. Lastomo, Widodo, H. Setiadi

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引用次数: 5

摘要

元启发式算法在工程问题中的发展非常迅速。该算法通常用于优化问题。其中一种元启发式算法被称为萤火虫算法(FA)。萤火虫算法是一种受自然启发的算法，它来源于萤火虫的特性。萤火虫算法可用于解决电力系统中的最优潮流问题。为了获得最佳的性能，萤火虫算法可以与模糊逻辑相结合。本研究将混合模糊逻辑和萤火虫算法应用于求解最优潮流。在MATLAB环境下进行仿真。仿真结果表明，采用模糊萤火虫算法可以显著降低系统的功耗和总成本。

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Optimal Power Flow using Fuzzy-Firefly Algorithm

Development of Metaheuristic Algorithm in engineering problems grows really fast. This algorithm is commonly used in optimization problems. One of the metaheuristic algorithms is called Firefly Algorithm (FA). Firefly Algorithm is a nature-inspired algorithm that is derived from the characteristic of fireflies. Firefly Algorithm can be used to solve optimal power flow (OPF) problem in power system. To get the best performance, firefly algorithm can be combined with fuzzy logic. This research presents the application of hybrid fuzzy logic and firefly algorithm to solve optimal power flow. The simulation is done using the MATLAB environment. The simulations show that by using the fuzzy-firefly algorithm, the power losses, as well as the total cost, can be reduced significantly.

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2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)

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