Non-Iterative Semi-Implicit Integration Method for Active Distribution Networks With a High Penetration of Distributed Generations

With the increasing penetration of distributed generations (DGs), the equations governing active distribution networks (ADNs) exhibit stronger nonlinearity and greater stiffness. Additionally, the uncertainties associated with DGs mean that ADNs face more frequent and diversified disturbances. The n...

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Bibliographic Details
Published in:IEEE transactions on power systems Vol. 36; no. 1; pp. 438 - 450
Main Authors: Liu, Weiqi, Gu, Wei, Li, Peixin, Cao, Ge, Shi, Wenbo, Liu, Wei
Format: Journal Article
Language:English
Published: New York IEEE 01.01.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Active distribution networks
adaptive Jacobian matrix update
Algorithms
Differential equations
Implicit methods
Iterative methods
Jacobi matrix method
Jacobian matrices
Jacobian matrix
Mathematical model
non-iterative technique
Numerical models
Numerical stability
Optimization
Penetration
Power system dynamics
Power system stability
semi-implicit integration method
Stability
Stability analysis
Stiffness
time-domain simulation
ISSN:0885-8950, 1558-0679
Online Access:Get full text
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Summary:With the increasing penetration of distributed generations (DGs), the equations governing active distribution networks (ADNs) exhibit stronger nonlinearity and greater stiffness. Additionally, the uncertainties associated with DGs mean that ADNs face more frequent and diversified disturbances. The novel properties of ADNs exacerbate the instabilities and computational burdens on iterations of time-domain simulation when using traditional explicit and implicit integration algorithms. This article proposes a novel semi-implicit integration method incorporating an adaptive Jacobian matrix to solve the differential equations (DEs) governing ADNs, resulting in a non-iterative technique with good numerical stability. The proposed approach simultaneously combines the advantages of both explicit and implicit methods. Moreover, a parameter optimization strategy that comprehensively considers stability, efficiency, and accuracy conditions and an adaptive Jacobian matrix update strategy are developed to further improve the numerical performance of the proposed method. Finally, the proposed method is validated using a modified 33-node system and a practical 436-node distribution system. The simulation results demonstrate the prominent advantages of the proposed method in terms of stability and efficiency compared with the modified Euler and trapezoidal methods.
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ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2020.3003367