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Functional Predictive Control for Voltage Stability Improvements of Autonomous Hybrid Wind-Diesel Power System

机译:改进功能性预测控制的自主混合式风电柴油机系统的电压稳定性

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摘要

This study investigates the application of the model predictive control technique for voltage stability of an isolated hybrid wind-diesel power system based on reactive power control. The proposed generation system mainly consists of a synchronous generator for a diesel-generator system and an induction generator for a wind energy conversion system. A static VAR compensator is used to stabilize load voltage through compensating reactive power. Two control paths are used to stabilize load bus voltage based on model predictive control. The first control path is used to adjust the total reactive power of the system by controlling the static VAR compensator firing angle. The second is proposed to control the excitation voltage of the synchronous generator. Model predictive control is used to determine t optimal control actions, including system constraints. To mitigate calculation effort and reduce numerical problems, especially in a large prediction horizon, an exponentially weighted functional model predictive control (F-model predictive control) is applied. The proposed controller was tested through step change in load reactive power plus step increase in input wind power. The performance of the proposed system with the proposed controller was compared with classical model predictive control; moreover, this scheme is tested against parameter variations.
机译:本研究研究了模型预测控制技术在基于无功功率控制的隔离式混合风力柴油发电系统的电压稳定性中的应用。拟议的发电系统主要由用于柴油发电机系统的同步发电机和用于风能转换系统的感应发电机组成。静态VAR补偿器用于通过补偿无功功率来稳定负载电压。基于模型预测控制,使用两个控制路径来稳定负载母线电压。第一控制路径用于通过控制静态VAR补偿器点火角来调节系统的总无功功率。提出第二种方法来控制同步发电机的激励电压。模型预测控制用于确定包括系统约束在内的最优控制动作。为了减轻计算量并减少数值问题,尤其是在较大的预测范围内,应用了指数加权功能模型预测控制(F模型预测控制)。通过负载无功功率的阶跃变化加上输入风力的阶跃增加,对提出的控制器进行了测试。将所建议的系统与所建议的控制器的性能与经典模型预测控制进行了比较;此外,针对参数变化对该方案进行了测试。

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