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Firefly Optimization Algorithm for the Reactive Power Control of an Isolated Wind-Diesel System

机译:孤风柴油机无功控制的萤火虫优化算法

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摘要

This paper investigates the application of firefly optimization algorithm to design an optimal control for voltage stability of a stand-alone hybrid renewable generation unit based on reactive power control. The studied renewable generation unit mainly consists of a permanent magnet induction generator driven by wind turbine and a synchronous generator driven by diesel engine. A STAT-COM is used to stabilize the terminal load bus voltage via compensating of reactive power. The main control objective aims to stabilize the terminal load voltage against any disturbances in load reactive power and/or input wind power by adjusting the total system reactive power. This is accomplished by controlling STATCOM phase angle and hence to control the load bus voltage and also by controlling the excitation voltage of the synchronous generator. The proposed renewable energy power system based on the proposed optimal controller has been tested through step change in input wind power and load reactive power. The system performance based on the proposed control is compared with model predictive control, a robust H_∞ control, and a classical PI control.
机译:本文研究了萤火虫优化算法在基于无功控制的独立混合可再生发电机组电压稳定性优化控制中的应用。研究的可再生发电机组主要由风力涡轮机驱动的永磁感应发电机和柴油机驱动的同步发电机组成。 STAT-COM用于通过补偿无功功率来稳定终端负载总线电压。主要控制目标旨在通过调整总系统无功功率来稳定终端负载电压,以防止负载无功功率和/或输入风力的任何干扰。这是通过控制STATCOM相角并因此控制负载母线电压并通过控制同步发电机的励磁电压来实现的。通过输入风力和负载无功功率的阶跃变化,对基于最佳控制器的可再生能源发电系统进行了测试。将基于建议控制的系统性能与模型预测控制,鲁棒H_∞控制和经典PI控制进行了比较。

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