Modeling of Wind Power Plant Dynamics in Power System Planning and Operation Studies: Lessons to Learn from the 2016 South Australian Blackout.

After the 2016 South Australian blackout, the Australian Energy Market Operator (AEMO) issued a final report describing the findings of the blackout investigation. With reference to AEMO comparison plots and observations, this paper considers factors that can contribute to mismatches between wind power plant (WPP) simulations and measurements. The analysis is based on experience with PSS/E stability studies for a variety of WPP projects in the USA. The following modeling aspects are considered: representation of the mechanical drive train and power electronics converter of a wind turbine generator; the role of the operating point on the power curve; aggregation of the collector of a WPP and impact of its central controller; accounting for wind speed variation; handling switching events; and model validation and accuracy. Based on the analyses, the paper identifies lessons to learn in order to enhance the modeling of WPP dynamics in power system planning and operation studies. [ABSTRACT FROM AUTHOR]