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    Intelligence-Driven Grid-Forming Converter Control for Islanding Microgrids
    (2025-01-01)
    Ngamroo, Issarachai
    ;
    Surinkaew, Tossaporn
    ;
    Mitani, Yasunori
    In modern microgrids (MGs) with high penetration of distributed energy resources (DERs), system reconfiguration occurs more frequently and becomes a significant issue. Fixed-parameter controllers may not handle these tasks effectively, as they lack the ability to adapt to the dynamic conditions in such environments. This paper proposes an intelligence-driven grid-forming (GFM) converter control method for islanding MGs using a robustness-guided neural network (RNN). To enhance the adaptability of the proposed method, traditional proportional-integral controllers in the GFM primary control loops are entirely replaced by the RNN. The RNN is trained by a robustness-guided strategy to replicate their robust behaviors. All the training stages are purely data-driven methods, which means that no system parameters are required for the controller design. Consequently, the proposed method is an intelligence-driven modelless GFM converter control. Compared with traditional methods, the simulation results in all testing scenarios show the clear benefits of the proposed method. The proposed method reduces overshoots by more than 71.24%, which keeps all damping ratios within the stable region and provides faster stabilization. In comparison to traditional methods, at the highest probability, the proposed method improves damping by over 14.7% and reduces the rates of change of frequency and voltage by over 59.97%. Additionally, the proposed method effectively suppresses the interactions between state variables caused by inverter-based resources, with frequencies ranging from 1.0 Hz to 1.422 Hz. Consequently, these frequencies contribute less than 19.79% To the observed transient responses.
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    A practical controller design of distributed energy resources for stabilization of interconnected power system based on synchronized phasor measurements
    (2009-12-01)
    Dechanupaprittha, S.
    ;
    Watanabe, M.
    ;
    Mitani, Y.
    ;
    Hongesombut, K.
    ;
    Ngamroo, I.
    With today's advanced technologies, various types of distributed energy resources (DERs) with relatively fast controllability option have been brought into practical applications. This paper presents a metaheuristic-based controller design of controllable DER for stability enhancement based on synchronized phasor measurements. With the most recent data, a simplified oscillation model (SOM) is evaluated and referred to as an estimated power system model for detection and assessment of an estimated inter-area oscillation mode. Subsequently, an extended SOM is formulated by including dynamic effects of DER control system. The designed controller can be achieved via a metaheuristic method with less effort towards the design specification. Moreover, performance of the designed controller can be evaluated during design to avoid its adverse effects. Some simulation results demonstrate and confirm the applicability and effectiveness of the proposed controller design method. ©2009 IEEE.