Model identification of dynamic microgrids and controller optimization with high fidelity hardware-in-the-loop platform
Model identification of dynamic microgrids and controller optimization with high fidelity hardware-in-the-loop platform
复制标题
利用高保真硬件在环平台进行动态微电网模型识别和控制器优化
作者：
Edwin Fonkwe;J. Kirtley;M. Almeida;Danilo Medjo
我们描述了一个框架的模型识别和模型降阶（莫尔）的高度动态微电网的高保真硬件在环（HIL）平台的基础上。一个同步发电机，连接在不同的配置进行了分析，以获得小信号的线性化模型进行比较，对HIL获得的数据。该框架适用于一个小型微电网组成的同步发电机，逆变器为基础的分布式能源（DER），和线性负载，并提供了深入了解估计机器传递函数。我们建议，基于HIL的框架可能是一个合适的工具，模型辨识，莫尔，控制器优化的复杂动态微电网。
We describe a framework for model identification and model order reduction (MOR) of highly dynamic microgrids based on a high fidelity hardware-in-the-loop (HIL) platform. A synchronous generator that is connected in different configurations is analyzed to analytically obtain small-signal linearized models which are compared against HIL-obtained data. The framework is applied to a small microgrid consisting of a synchronous generator, inverter-based distributed energy resource (DER), and linear loads, and provides insights into the estimated machine transfer functions. We propose that HIL based framework could be a suitable tool for model identification, MOR, and controller optimization of complex dynamic microgrids.