会议论文详细信息
International Conference on Advances in Renewable Energy and Technologies 2016
A new fuzzy self-tuning PD load frequency controller for micro-hydropower system
Basir Khan, M. Reyasudin^1 ; Jidin, Razali^1 ; Pasupuleti, Jagadeesh^1
College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, Kajang, Selangor
43000, Malaysia^1
关键词: Controller implementation;    Cost of electricity;    Diesel generators;    Hydro-power generation;    Hydropower system;    Load frequency controllers;    Load-frequency control;    Proportional-derivative controllers;   
Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/32/1/012002/pdf
DOI  :  10.1088/1755-1315/32/1/012002
来源: IOP
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【 摘 要 】

This paper presents a new approach for controlling the secondary load bank of a micro-hydropower system using a fuzzy self-tuning proportional-derivative (PD) controller. This technology is designed in order to optimize the micro-hydropower system in a resort island located in the South China Sea. Thus, this technology will be able to mitigate the diesel fuel consumption and cost of electricity supply on the island. The optimal hydropower generation for this system depends on the available stream flow at the potential sites. At low stream flow, both the micro-hydropower system and the currently installed diesel generators are required to feed the load. However, when the hydropower generation exceeds the load demand, the diesel generator is shut down. Meanwhile, the system frequency is controlled by a secondary load bank that absorbs the hydropower which exceeds the consumer demand. The fuzzy rules were designed to automatically tune the PD gains under dynamic frequency variations. Performances of the fuzzy self-tuning PD controller were compared with the conventional PD controller. The result of the controller implementation shows the viability of the proposed new controller in achieving a higher performance and more robust load frequency control than the conventional PD controller.

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