基于多目标最优潮流和发射指标的萤火虫算法

Q3 Computer Science

Periodica polytechnica Electrical engineering and computer science Pub Date : 2023-03-01 DOI:10.3311/ppee.20922

Nabil Mezhoud

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引用次数: 0

摘要

发电系统的经济运行是能源系统的主要问题之一。本文提出了一种基于元推理行为的进化优化方法——萤火虫算法(FFA)，用于求解多目标最优潮流(OPF)和排放指数(EI)问题。我们的主要目标是改进必要的目标函数，以达到生产和能源消耗之间的最佳平衡，这是一个非线性函数，考虑到一些相等和不相等的约束。目标是降低发电总成本、主动损耗和排放指数。FFA方法在标准IEEE-30总线系统上进行了检查和测试。并将所得结果与一些知名和最新发表的文献进行了验证。仿真结果证明了该方法的有效性和可靠性。

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Multi-objective Optimal Power Flow and Emission Index Based Firefly Algorithm

The economic operation of electric energy generating systems is one of predominant problems in energy systems. In this work one evolutionary optimization method, based on the meta-inference behavior called the Firefly Algorithm (FFA) is applied to solve such as the multipurpose optimum power flow (OPF) and emission index (EI) problems. Our main goal is to improve the objective function necessary to achieve the best balance between production and its energy consumption, which is presented as a non-linear function, taking into account some constraints of equality and inequality. The goal is to reduce the total cost of generations, active losses, and emission index.The FFA approach was examined and tested on a standard IEEE-30 bus system. The validations of obtained results were compared with some well-known and recently published references. The efficiency and credibility of the proposed method has been proven by the obtained results.

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来源期刊

Periodica polytechnica Electrical engineering and computer science Engineering-Electrical and Electronic Engineering

CiteScore

2.60

自引率

0.00%

发文量

期刊介绍： The main scope of the journal is to publish original research articles in the wide field of electrical engineering and informatics fitting into one of the following five Sections of the Journal: (i) Communication systems, networks and technology, (ii) Computer science and information theory, (iii) Control, signal processing and signal analysis, medical applications, (iv) Components, Microelectronics and Material Sciences, (v) Power engineering and mechatronics, (vi) Mobile Software, Internet of Things and Wearable Devices, (vii) Solid-state lighting and (viii) Vehicular Technology (land, airborne, and maritime mobile services; automotive, radar systems; antennas and radio wave propagation).