LAPSE:2023.7380v1
Published Article

LAPSE:2023.7380v1
General Modelling Method for the Active Distribution Network with Multiple Types of Renewable Distributed Generations
February 24, 2023
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.
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.
Record ID
Keywords
active distribution network, Dynamic Modelling, general model, renewable distributed generation
Subject
Suggested Citation
Chen H, Pan X, Sun X, Cheng X. General Modelling Method for the Active Distribution Network with Multiple Types of Renewable Distributed Generations. (2023). LAPSE:2023.7380v1
Author Affiliations
Chen H: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
Pan X: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
Sun X: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China [ORCID]
Cheng X: Research and Innovation Department, Smart Innovation Norway, 1783 Halden, Norway
Pan X: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
Sun X: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China [ORCID]
Cheng X: Research and Innovation Department, Smart Innovation Norway, 1783 Halden, Norway
Journal Name
Energies
Volume
15
Issue
23
First Page
8931
Year
2022
Publication Date
2022-11-25
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15238931, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.7380v1
This Record
External Link

https://doi.org/10.3390/en15238931
Publisher Version
Download
Meta
Record Statistics
Record Views
454
Version History
[v1] (Original Submission)
Feb 24, 2023
Verified by curator on
Feb 24, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.7380v1
Record Owner
Auto Uploader for LAPSE
Links to Related Works
