基于神经网络和模糊逻辑的两区水热电系统智能自动发电控制

R. Verma, S. Pal, S. Sathans
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引用次数: 26

摘要

提出了一种基于人工神经网络和模糊逻辑的两区水热发电系统自动发电控制智能控制器的设计与实现。在阶跃负载扰动下,将智能控制器与传统的优化积分和整定PID控制器的AGC性能进行了比较。对比分析结果表明,在任何一个区域的负载扰动后,智能控制器都能显著改善系统性能。人工神经网络控制器具有更好的动态响应,减小误差幅度和最小化频率瞬变。模糊控制器的性能几乎与人工神经网络控制器相当。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Automatic Generation Control of Two-Area Hydrothermal Power System Using ANN and Fuzzy Logic
This study presents the design and implementation of intelligent controllers, based on artificial neural networks (ANN) and fuzzy logic, for automatic generation control (AGC) of a two area hydrothermal power system. The AGC performance with intelligent controllers is compared with the performance of conventional optimized integral and tuned PID controllers under step load disturbance. Comparative analysis of results shows considerable improvement in system performance with intelligent controllers following a load disturbance in either of the areas. The ANN controller gives better dynamic response, reduced error magnitude and minimized frequency transients. The performance of fuzzy controller is almost similar to that of ANN controller.
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