基于最优模糊控制器的PV-Diesel混合动力系统频率控制

2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing Pub Date : 2013-12-21 DOI:10.1109/DASC.2013.58

Bashar Sakeen, Nasseer K. Bachache, Shaorong Wang

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引用次数: 3

摘要

本文提出了一种基于粒子群优化的模糊最优控制方法，以减小PV-Diesel混合动力系统的频率偏差。该方法假定光伏发电的受控输出功率能够调节孤立电网的电力系统质量。模糊控制器具有隔离功率变化和频率偏差两个输入。利用MATLAB/SIMULINK与M-file/ MATLAB相结合，对带有模糊逻辑控制器的完整系统模型进行了仿真，并给出了优化三角隶属度形状的算法。仿真结果表明，与未优化的其他控制器相比，最优模糊逻辑控制器在减小频率偏差方面是有效的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Frequency Control of PV-Diesel Hybrid Power System Using Optimal Fuzzy Logic Controller

In this paper, Optimal Fuzzy Logic Control based on particle swarm optimization is proposed to reduce frequency deviations in PV-Diesel hybrid system. The proposed method supposes that the controlled output power of PV can conditioning the quality of power system in isolated grid. The Fuzzy Logic Controller has two inputs of change of isolation power and frequency deviation. The complete system model with Fuzzy Logic Controller has simulated used MATLAB/SIMULINK linked with M-file/ MATLAB which has an optimization algorithm to optimize the shape of triangle memberships. The simulation results show the effectiveness of Optimal Fuzzy Logic Controller OFLC to reduce the frequency deviation compared with other controller without optimization.

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2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing

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