Simulasi Analisis Kualitas Daya Menggunakan Logika Fuzzy Untuk Meningkatkan Efisiensi Sistem Tenaga Listrik

Yoga Alif, Kurnia Utama, Fernando Wibisono, Adrianus Raffel
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Abstract

This study aims to simulate power quality analysis using fuzzy logic to increase the efficiency of the power system. Poor power quality can cause disturbances in the electric power system and reduce the efficiency of the energy used. Therefore, improving power quality is one of the main focuses in the electric power industry.The fuzzy logic method is used in this study to evaluate power quality based on relevant parameters, such as voltage, current, frequency and harmonics. Fuzzy logic is able to overcome the uncertainty and complexity of data related to electric power systems, and provide more adaptive and intelligent solutions. In this study, simulations were carried out using special software that implements fuzzy logic to analyze power quality. The input data obtained from the electric power system is used to build a fuzzy logic model. Then, the simulation results are used to identify existing power quality problems and propose appropriate improvement strategies.The simulation results show that the use of fuzzy logic can significantly increase the efficiency of the power system by minimizing disturbances and optimizing power quality. In addition, fuzzy logic also provides the ability to predict the future conditions of the electric power system and take the necessary precautions. This research has important practical implications in the field of power systems. By using fuzzy logic in power quality analysis, power companies and grid operators can optimize power system operations, reduce power losses, improve energy efficiency, and ensure reliable electricity supply to consumers.
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利用模糊逻辑模拟电能质量分析,提高电力系统效率
本研究旨在利用模糊逻辑模拟电能质量分析,以提高电力系统的效率。电能质量差会对电力系统造成干扰,降低能源使用效率。因此,提高电能质量是电力行业的重点之一。本研究采用模糊逻辑方法,根据电压、电流、频率和谐波等相关参数对电能质量进行评估。模糊逻辑能够克服电力系统相关数据的不确定性和复杂性,并提供更具适应性的智能解决方案。在这项研究中,我们使用专门的软件进行了模拟,该软件实现了模糊逻辑来分析电能质量。从电力系统获取的输入数据被用于建立模糊逻辑模型。仿真结果表明,使用模糊逻辑可以最大限度地减少干扰,优化电能质量,从而显著提高电力系统的效率。此外,模糊逻辑还能预测电力系统的未来状况,并采取必要的预防措施。这项研究在电力系统领域具有重要的现实意义。通过在电能质量分析中使用模糊逻辑,电力公司和电网运营商可以优化电力系统运行,减少电力损耗,提高能源效率,并确保向用户可靠供电。
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