An Optimal Tracking Power Sharing Controller for Inverter-Based Generators in Grid-connected Mode
An Optimal Tracking Power Sharing Controller for Inverter-Based Generators in Grid-connected Mode
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DOI：
10.1109/iecon.2019.8927555
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发表时间：
2019-10
期刊：
影响因子：
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通讯作者：
Juan F. Patarroyo-Montenegro;Marc Castellà Rodil;F. Andrade;K. Kampouropoulos;L. Romeral;Jesus D. Vasquez-Plaza
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文献类型：
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作者：
Juan F. Patarroyo-Montenegro;Marc Castellà Rodil;F. Andrade;K. Kampouropoulos;L. Romeral;Jesus D. Vasquez-Plaza
在这项工作中，提出了同步 d-q 参考系中三相逆变器发电机 (IG) 的最佳功率共享控制器。该控制器的优化是使用测量跟踪误差的线性二次 (LQ) 跟踪指数来计算的。与使用下垂功能进行功率共享的经典比例积分 (PI) 或比例谐振 (PR) 控制器相比，这种方法在稳定性和鲁棒性方面具有许多优势。此外，还利用叠加原理开发了代表并网IG与主电网共享电力的综合模型。该模型将电压-电流 (V-I) 和功率共享动态集成在单状态空间表达式中。据我们所知，尽管在 V-I 和功率共享控制方面已经有一些方法可以提高微电网的稳定性和瞬态响应，但还没有正式的方法将这两个控制器集成为一个实体。该方法的结果与使用下垂功能进行功率共享的已知比例谐振控制器进行了比较。结果表明，最优功率共享控制器改善了瞬态响应，改善了功率解耦，并且还降低了与微电网状态和输入相关的二次成本。
In this work, an optimal power sharing controller for a three-phase Inverter-based Generator (IG) in a synchronous d-q reference frame is presented. The optimization of this controller is computed using a Linear-Quadratic (LQ) tracking index that measures the tracking error. This approach has many advantages regarding to stability and robustness over classical Proportional-Integral (PI) or Proportional-Resonant (PR) controllers that use droop functions for power sharing. In addition, a comprehensive model that represents a grid-connected IG sharing power to the main grid is developed using the superposition principle. This model integrates the Voltage-Current (V-I) and power sharing dynamics in a single state space expression. To the best of our knowledge, although there have been approaches in V-I and power sharing control that improve microgrid stability and transient response, there are no formal methods that integrate both controllers as a single entity. The results of this method were compared against a known Proportional-Resonant controller that use droop functions for power sharing. Results show that the optimal power sharing controller improves transient response, improves power decoupling, and also reduces the quadratic cost associated with microgrid states and inputs.