1. Improved aggregation techniques for electromagnetic transient simulation of wind farms considering windspeed variability
- Author
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Ho, Carl (Electrical and Computer Engineering), Khoshdarregi, Matt (Mechanical Engineering), Mitra, Joydeep (Michigan State University), Gole, Aniruddha M., Kaffashan, Iman, Ho, Carl (Electrical and Computer Engineering), Khoshdarregi, Matt (Mechanical Engineering), Mitra, Joydeep (Michigan State University), Gole, Aniruddha M., and Kaffashan, Iman
- Abstract
A foreseeable relatively high wind power penetration of global electricity demand will be reached in the near future. This research aims to improve aggregation modeling techniques for large wind farms considering the effect of local windspeed variations. A new structurally complete dynamic model of a doubly-fed induction generator (DFIG) consisting of an induction machine, a back to back converter, and a step-up transformer are developed in a compact state-space form. A structure-preserving aggregation method to select the model’s parameters so that the major collective dynamic characteristics of a group of DFIGs is closely approximated. The proposed aggregation method maintains the same steady-state results compared with the original unreduced model. It also preserves the major collective dynamic responses of the clustered DFIGs. A particular three-winding transformer model with current magnifying functions is developed to realize the DFIGs aggregation for Electromagnetic Transient (EMT) simulations. Furthermore, the impact of the wake effect and varying wind speed within a wind farm on the aggregated model is investigated. Although complex models can estimate and simulate wind interaction with high accuracy, a simpler model is needed for system level simulations. First, Jensen’s model is used to estimate the local windspeeds at each generator location from the ambient windspeed. Next, the aggregation algorithm generates a single representative windspeed for a cluster of generators for use in the DFIG dynamic model. The mechanism responsible for loss of synchronization following ac faults for a DFIG is identified in the thesis. A dq frame theoretical model for the DFIG and its phase locked loop (PLL) is developed which identifies positive and negative feedback mechanisms involved in synchronization. This is combined with a large signal plot of the synchronizing signal (proportional to measured q axis voltage Vmq) and a signal dependent on the PLL’s output phase ang
- Published
- 2024