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The Controller Parameters Optimization for Droop Controlled Distributed Generators in Microgrid

机译:微电网下垂控制分布式发电机的控制器参数优化

摘要

Microgrids are attracting a great deal of attention as integrated renewable energy resource can benefit both the utility and the customers. The droop-control method is popular for the microgrid stable operation as it avoids circulating currents among the converters without using any critical communication between them. The distributed generators should have high speed to follow the reference given by the droop controller, otherwise the system will fluctuate and even black out. Renewable energy powered Distributed Generators (DGs) are mostly inverter-interfaced and controlled by PI controllers. The Particle Swarm Optimization (PSO) was used to optimize the PI parameters with the objective of high tracking speed of the Inverter-interfaced DGs. Simulation studies in Matlab demonstrate the effectiveness of the optimized control parameters.
机译:微电网正吸引着巨大的注意力,因为综合的可再生能源可以使公用事业和用户受益。下垂控制方法在微电网稳定运行中很受欢迎,因为它避免了转换器之间的循环电流,而无需使用它们之间的任何关键通信。分布式发电机应具有较高的速度,以遵循下垂控制器给定的参考值,否则系统将波动甚至停电。可再生能源供电的分布式发电机(DG)大多采用变频器接口,并由PI控制器控制。粒子群优化(PSO)用于优化PI参数,以实现与变频器相连的DG的高跟踪速度。在Matlab中进行的仿真研究证明了优化控制参数的有效性。

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