TY - JOUR
T1 - Methodology for evaluating equivalent models for the dynamic analysis of power systems
AU - Barzegkar-Ntovom, Georgios A.
AU - Kontis, Eleftherios O.
AU - Papadopoulos, Theofilos A.
AU - Papadopoulos, Panagiotis N.
N1 - © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
PY - 2022/12/31
Y1 - 2022/12/31
N2 - The increasing penetration of distributed renewable energy sources drastically alters the dynamic characteristics of distribution networks (DNs). Therefore, several equivalent models have been recently proposed, to analyze more accurately the complex behavior of modern DNs. However, relatively simple models are still commonly used in practice for dynamic power system studies. In addition, dynamic equivalent models for DNs are sensitive to different operating conditions and there is lack of systematic understanding of their performance. Scope of this paper is to propose a methodology for identifying the applicability range in terms of accuracy and generalization capability of several conventional and newly developed equivalent models for the dynamic analysis of modern DNs. A set of metrics is used for the modelling accuracy assessment and a sensitivity analysis framework is introduced to fully quantify the generalization capabilities of DN equivalent models. Based on the above, guidelines and recommendations for the development of robust equivalent models for DN analysis are proposed.
AB - The increasing penetration of distributed renewable energy sources drastically alters the dynamic characteristics of distribution networks (DNs). Therefore, several equivalent models have been recently proposed, to analyze more accurately the complex behavior of modern DNs. However, relatively simple models are still commonly used in practice for dynamic power system studies. In addition, dynamic equivalent models for DNs are sensitive to different operating conditions and there is lack of systematic understanding of their performance. Scope of this paper is to propose a methodology for identifying the applicability range in terms of accuracy and generalization capability of several conventional and newly developed equivalent models for the dynamic analysis of modern DNs. A set of metrics is used for the modelling accuracy assessment and a sensitivity analysis framework is introduced to fully quantify the generalization capabilities of DN equivalent models. Based on the above, guidelines and recommendations for the development of robust equivalent models for DN analysis are proposed.
KW - adaptation models
KW - analytical models
KW - distribution networks
KW - dynamic equivalencing
KW - load modeling
KW - mathematical models
KW - power system dynamics
KW - power system stability
KW - sensitivity analysis
KW - voltage
U2 - 10.1109/TPWRD.2022.3167136
DO - 10.1109/TPWRD.2022.3167136
M3 - Article
AN - SCOPUS:85128681648
SN - 0885-8977
VL - 37
SP - 5059
EP - 5070
JO - IEEE Transactions on Power Delivery
JF - IEEE Transactions on Power Delivery
IS - 6
ER -
