Dynamic equivalent of inverter-based distributed generations for large voltage disturbances

Li, Yalou; Hu, Shanhua; Zhang, Xing; Tian, Pengfei

doi:10.1016/j.egyr.2022.10.375

Cited by 5 publications

(1 citation statement)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to Ref. [18], a generic DG model with a LVRT was built to simulate several manufacturers' products. An equivalent model was further developed by analyzing the dynamic characteristics of the DGs' overall responses.…”

Section: Introductionmentioning

confidence: 99%

General Modelling Method for the Active Distribution Network with Multiple Types of Renewable Distributed Generations

et al. 2022

View full text Add to dashboard Cite

With a proliferation of diverse types of renewable distributed generation (DG) into the distribution network, an equivalent model of an active distribution network (ADN) is extremely important, since the detailed modeling of the whole ADN is much more complex and time consuming. However, different studies developed different model structures of ADNs, which are difficult to be applied in a power system simulation. At the same time, the DG’s low voltage ride through the (LVRT) control was not considered in the existing ADN model, which may lead to a large modelling error. In this paper, a general equivalent model is developed for the ADN with a significant amount of DGs, based on a two-step modelling method. Step one, motivated by the dynamic similarities between the doubly-fed induction generator (DFIG)-based wind turbines, direct drive permanent magnet synchronous generator (DDPMSG)-based wind turbines, and photovoltaic (PV) generation, a general model structure of a renewable DG is initially developed. Then, an aggregation method for the DG’s nonlinear subsystems of the low voltage ride through (LVRT) control and the converter’s current limits are presented. Step two, the ADN model is represented by a general renewable DG model paralleled with a composite load model, and the model is validated, based on an actual distribution network with different renewable DG penetrations and different disturbance degrees. The simulation results show that our model outperforms others with acceptable errors.

show abstract

Section: Introductionmentioning

confidence: 99%