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The Alternative Transients Program (ATP) is one of the most used electromagnetic transient programs due to its powerful modeling capability and versatility. However, it has limitations as regards the automatic initialization of power electronics devices and control systems. To overcome this drawback, a simple methodology is presented in this paper to initialize a detailed model of a doubly fed induction wind generator implemented in ATP. The methodology is based on the automatic initialization of this device and it is divided into two stages. The first one consists of offline calculations to obtain initial steady-state values of certain model variables and, in the second one, these results are used as ATP model parameters. The simulation is started by means of auxiliary switches also included in the model. To validate the methodology, the transient and steady-state behavior of 4 case studies was evaluated. The analysis of these results shows that the steady-state values calculated by ATP for t = 0 are the desired ones and the oscillograms present a steady-state condition. The proposed methodology makes it possible to accurately initialize a detailed DFIG-type generator model in ATP, without the need to sacrifice simulation time to wait for variables to reach a steady state.

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There is currently a strong trend in the world toward the use of power generation from renewable resources. This poses new challenges with respect to the modeling of electrical generators connected to power electronics devices, such as Doubly Fed Induction Generators (DFIGs). The initialization of DFIG models to be used for transient studies is critical. This article presents an approach to the modeling of DFIG in the ATP calculation environment using the Universal Machine type 4 model, which focuses especially on the automatic model initialization. A methodology for initializing the generator for a desired operating point at subsynchronous speed is proposed, which can be used to initialize a detailed wind DFIG. A case study is presented to validate the methodology. The results show that the initial operating conditions of the DFIG can be calculated very accurately using this approach.

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