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

Haidong Chen (), Xueping Pan, Xiaorong Sun and Xiaomei Cheng
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Haidong Chen: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
Xueping Pan: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
Xiaorong Sun: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
Xiaomei Cheng: Research and Innovation Department, Smart Innovation Norway, 1783 Halden, Norway

Energies, 2022, vol. 15, issue 23, 1-16

Abstract: 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.

Keywords: active distribution network; general model; renewable distributed generation; dynamic modeling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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