Abstract Micro-grids with proper control should be able to maintain stability and achieve the best response when subjected to different disturbances. Traditionally, power electronic converters used in micro-grids are controlled using linear fixed parameter controllers such as, conventional PI controller and droop controller, which are unable to mitigate such disturbances efficiently over a wide range of operating conditions. An adaptive self-tuning controller that can adapt in real-time as operating conditions change is investigated in this paper. An adaptive self-tuning controller based on recursive least squares identification and pole-shifting control is designed and implemented on the dispatchable sources connected boost converter in two connected micro-grids. Its performance is compared with the fixed parameter PI controller. Parameters of the PI controller and gains of the self-tuning adaptive controller are optimized using an advanced optimization technique called global Porcellio Scaber algorithm. Effectiveness of the proposed controller is investigated on a two inter-connected micro-grids system isolated from the grid under various scenarios such as load variations and weather conditions fluctuations. Simulation results verify that the system response based on the proposed pole-shift controller is better than the classical PI controller under various operating conditions.

中文翻译：

---

改善两岛互联微电网动态性能的自适应控制策略

摘要 适当控制的微电网在受到不同扰动时应能保持稳定并达到最佳响应。传统上，微电网中使用的电力电子转换器使用线性固定参数控制器进行控制，例如传统的 PI 控制器和下垂控制器，这些控制器无法在广泛的运行条件下有效地减轻此类干扰。本文研究了一种自适应自整定控制器，它可以随着操作条件的变化而实时适应。设计并实现了一种基于递归最小二乘辨识和极移控制的自适应自整定控制器，并在两个相连微电网中的可调度源连接升压转换器上实现。将其性能与固定参数 PI 控制器进行比较。PI 控制器的参数和自调整自适应控制器的增益使用称为全局 Porcellio Scaber 算法的高级优化技术进行优化。在负载变化和天气条件波动等各种情况下，在与电网隔离的两个相互连接的微电网系统上研究了所提出的控制器的有效性。仿真结果验证了基于所提出的极移控制器的系统响应在各种运行条件下都优于经典的 PI 控制器。在负载变化和天气条件波动等各种情况下，在与电网隔离的两个相互连接的微电网系统上研究了所提出的控制器的有效性。仿真结果验证了基于所提出的极移控制器的系统响应在各种运行条件下都优于经典的 PI 控制器。在负载变化和天气条件波动等各种情况下，在与电网隔离的两个相互连接的微电网系统上研究了所提出的控制器的有效性。仿真结果验证了基于所提出的极移控制器的系统响应在各种运行条件下都优于经典的 PI 控制器。