Methodology for Evaluating Equivalent Models for the Dynamic Analysis of Power Systems
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 simpl...
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Veröffentlicht in: | IEEE transactions on power delivery 2022-12, Vol.37 (6), p.5059-5070 |
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description | 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. |
doi_str_mv | 10.1109/TPWRD.2022.3167136 |
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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. 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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.</description><subject>Adaptation models</subject><subject>Analytical models</subject><subject>Distribution networks</subject><subject>Dynamic characteristics</subject><subject>dynamic equivalencing</subject><subject>Dynamic equivalents</subject><subject>Equivalence</subject><subject>Load modeling</subject><subject>Mathematical models</subject><subject>Model accuracy</subject><subject>Power system dynamics</subject><subject>Power system stability</subject><subject>Renewable energy sources</subject><subject>Sensitivity analysis</subject><subject>Voltage</subject><issn>0885-8977</issn><issn>1937-4208</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMtKw0AUQAdRsFZ_QDcDrlPnkcxjWdr6gBaLVl0Ok8lNm5J2aiZR8vemD1xdLpxzuRyEbikZUEr0w2L-9TYeMMLYgFMhKRdnqEc1l1HMiDpHPaJUEikt5SW6CmFNCImJJj30OYN65TNf-mWLc1_hyY8tG1sX2yWefDdFt8G2xjOfQRkOQL0CPG63dlM4PNzasg1FwD7Hc_8LFX5vQw2bcI0uclsGuDnNPvp4nCxGz9H09ellNJxGjgldRzal2grHSKZSrXKXOUnzmEJCCY_TTBIFUseKgVNOJTLVIhMxYdSlUiQSOO-j--PdXeW_Gwi1Wfum6r4KhkmuORed1lHsSLnKh1BBbnZVsbFVaygx-37m0M_s-5lTv066O0oFAPwLWiZCc8b_AFSobIQ</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>Barzegkar-Ntovom, Georgios A.</creator><creator>Kontis, Eleftherios O.</creator><creator>Papadopoulos, Theofilos A.</creator><creator>Papadopoulos, Panagiotis N.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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subjects | Adaptation models Analytical models Distribution networks Dynamic characteristics dynamic equivalencing Dynamic equivalents Equivalence Load modeling Mathematical models Model accuracy Power system dynamics Power system stability Renewable energy sources Sensitivity analysis Voltage |
title | Methodology for Evaluating Equivalent Models for the Dynamic Analysis of Power Systems |
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