A Fast Dynamic Simulation Method of an Active Distribution Network with Distributed Generations Based on Decomposition and Coordination

With the penetration of distributed resources into power distribution networks, power distribution networks are transforming into active distribution networks with a high proportion of distributed generations and power electronic equipment. Efficient modeling and simulation methods are essential to...

Full description

Bibliographic Details
Main Authors: Keyan Liu, Xueshun Ye, Tianyuan Kang, Zhao Li, Dongli Jia
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/17/2/287
_version_ 1797344132603052032
author Keyan Liu
Xueshun Ye
Tianyuan Kang
Zhao Li
Dongli Jia
author_facet Keyan Liu
Xueshun Ye
Tianyuan Kang
Zhao Li
Dongli Jia
author_sort Keyan Liu
collection DOAJ
description With the penetration of distributed resources into power distribution networks, power distribution networks are transforming into active distribution networks with a high proportion of distributed generations and power electronic equipment. Efficient modeling and simulation methods are essential to perform dynamic response analysis. In order to satisfy the fast/steady/slow multiple time-scale simulation requirements of active distribution networks, a fast/medium/slow time partition model and a network decoupling method for short line characteristic lines is proposed in this paper. Through the decomposition coordination simulation method, the network is decomposed into multiple regions that can be simulated in parallel. Based on the interconnection of fiber optic network cards, a multi-rate parallel simulation and synchronization strategy is proposed, which significantly improves the simulation speed of active distribution networks while ensuring simulation accuracy. The numerical experiments have been conducted based on a modified IEEE 33-bus and a PG&E 69-bus, and simulation results show the feasibility of the proposed method. The verification results of the example show that using adaptive variable-step-size multi-rate parallel simulation technology can increase the subnet computation-time balance rate and simulation acceleration ratio to 119.90% and 121.31% in the same rate-parallel mode.
first_indexed 2024-03-08T10:57:55Z
format Article
id doaj.art-229972b9a4cf4028b2fda74c794b6e52
institution Directory Open Access Journal
issn 1996-1073
language English
last_indexed 2024-03-08T10:57:55Z
publishDate 2024-01-01
publisher MDPI AG
record_format Article
series Energies
spelling doaj.art-229972b9a4cf4028b2fda74c794b6e522024-01-26T16:15:23ZengMDPI AGEnergies1996-10732024-01-0117228710.3390/en17020287A Fast Dynamic Simulation Method of an Active Distribution Network with Distributed Generations Based on Decomposition and CoordinationKeyan Liu0Xueshun Ye1Tianyuan Kang2Zhao Li3Dongli Jia4China Electric Power Research Institute, Beijing 100192, ChinaChina Electric Power Research Institute, Beijing 100192, ChinaChina Electric Power Research Institute, Beijing 100192, ChinaChina Electric Power Research Institute, Beijing 100192, ChinaChina Electric Power Research Institute, Beijing 100192, ChinaWith the penetration of distributed resources into power distribution networks, power distribution networks are transforming into active distribution networks with a high proportion of distributed generations and power electronic equipment. Efficient modeling and simulation methods are essential to perform dynamic response analysis. In order to satisfy the fast/steady/slow multiple time-scale simulation requirements of active distribution networks, a fast/medium/slow time partition model and a network decoupling method for short line characteristic lines is proposed in this paper. Through the decomposition coordination simulation method, the network is decomposed into multiple regions that can be simulated in parallel. Based on the interconnection of fiber optic network cards, a multi-rate parallel simulation and synchronization strategy is proposed, which significantly improves the simulation speed of active distribution networks while ensuring simulation accuracy. The numerical experiments have been conducted based on a modified IEEE 33-bus and a PG&E 69-bus, and simulation results show the feasibility of the proposed method. The verification results of the example show that using adaptive variable-step-size multi-rate parallel simulation technology can increase the subnet computation-time balance rate and simulation acceleration ratio to 119.90% and 121.31% in the same rate-parallel mode.https://www.mdpi.com/1996-1073/17/2/287fast dynamic simulationactive distribution networkdistributed generationsdecompositioncoordination
spellingShingle Keyan Liu
Xueshun Ye
Tianyuan Kang
Zhao Li
Dongli Jia
A Fast Dynamic Simulation Method of an Active Distribution Network with Distributed Generations Based on Decomposition and Coordination
Energies
fast dynamic simulation
active distribution network
distributed generations
decomposition
coordination
title A Fast Dynamic Simulation Method of an Active Distribution Network with Distributed Generations Based on Decomposition and Coordination
title_full A Fast Dynamic Simulation Method of an Active Distribution Network with Distributed Generations Based on Decomposition and Coordination
title_fullStr A Fast Dynamic Simulation Method of an Active Distribution Network with Distributed Generations Based on Decomposition and Coordination
title_full_unstemmed A Fast Dynamic Simulation Method of an Active Distribution Network with Distributed Generations Based on Decomposition and Coordination
title_short A Fast Dynamic Simulation Method of an Active Distribution Network with Distributed Generations Based on Decomposition and Coordination
title_sort fast dynamic simulation method of an active distribution network with distributed generations based on decomposition and coordination
topic fast dynamic simulation
active distribution network
distributed generations
decomposition
coordination
url https://www.mdpi.com/1996-1073/17/2/287
work_keys_str_mv AT keyanliu afastdynamicsimulationmethodofanactivedistributionnetworkwithdistributedgenerationsbasedondecompositionandcoordination
AT xueshunye afastdynamicsimulationmethodofanactivedistributionnetworkwithdistributedgenerationsbasedondecompositionandcoordination
AT tianyuankang afastdynamicsimulationmethodofanactivedistributionnetworkwithdistributedgenerationsbasedondecompositionandcoordination
AT zhaoli afastdynamicsimulationmethodofanactivedistributionnetworkwithdistributedgenerationsbasedondecompositionandcoordination
AT donglijia afastdynamicsimulationmethodofanactivedistributionnetworkwithdistributedgenerationsbasedondecompositionandcoordination
AT keyanliu fastdynamicsimulationmethodofanactivedistributionnetworkwithdistributedgenerationsbasedondecompositionandcoordination
AT xueshunye fastdynamicsimulationmethodofanactivedistributionnetworkwithdistributedgenerationsbasedondecompositionandcoordination
AT tianyuankang fastdynamicsimulationmethodofanactivedistributionnetworkwithdistributedgenerationsbasedondecompositionandcoordination
AT zhaoli fastdynamicsimulationmethodofanactivedistributionnetworkwithdistributedgenerationsbasedondecompositionandcoordination
AT donglijia fastdynamicsimulationmethodofanactivedistributionnetworkwithdistributedgenerationsbasedondecompositionandcoordination