基于元启发式/人工智能技术的多区域电力系统负荷频率控制

Junaid Hussain Lanker, Ravi Bhushan, Neeraj Gupta
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引用次数: 1

摘要

针对三区互联的非再热火电机组电力系统,提出了一种基于人工智能技术的多区负荷频率控制方法。该方案采用模糊逻辑、人工神经网络和遗传算法对各区域的经典PID控制器进行整定。应用阶跃负荷扰动来评估其对电力系统动态性能的影响。结果比较和明显的变化,即最小的超调/欠调,更少的稳定时间和更好的响应实现。采用MATLAB仿真软件对控制器进行仿真。
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Load Frequency Control of Multi Area Power System Using Meta-heuristic/Artificial Intelligence Techniques
This paper presents multi area load frequency control (LFC) using artificial intelligence techniques in a power system comprising of non-reheat thermal power units for a three area interconnected power system. In this proposed scheme, fuzzy logic, Artificial Neural Network and Genetic Algorithm technique has been used to tune the classical PID controller for each area. Step load disturbance has been applied to assess its consequence on the dynamic performance of power system. The results are compared and appreciable change i.e minimum overshoot/undershoot, less settling time and a better response is achieved. For simulation of the controllers MATLAB simulation software is used.
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