Methodology for Evaluating Equivalent Models for the Dynamic Analysis of Power Systems

被引:9
作者
Barzegkar-Ntovom, Georgios A. [1 ]
Kontis, Eleftherios O. [2 ,3 ]
Papadopoulos, Theofilos A. [1 ]
Papadopoulos, Panagiotis N. [4 ]
机构
[1] Democritus Univ Thrace, Dept Elect & Comp Engn, Power Syst Lab, GR-67100 Xanthi, Greece
[2] Aristotle Univ Thessaloniki, Sch Elect & Comp Engn, Power Syst Lab, GR-54124 Thessaloniki, Greece
[3] Univ Western Macedonia, Dept Elect & Comp Engn, GR-50100 Kozani, Greece
[4] Univ Strathclyde, Inst Energy & Environm, Dept Elect & Elect Engn, Glasgow G1 1QX, Lanark, Scotland
关键词
Distribution networks; dynamic equivalencing; power system dynamics; sensitivity analysis; ACTIVE DISTRIBUTION NETWORK; LOAD MODELS; STABILITY ANALYSIS; PERFORMANCE; VALIDATION; DERIVATION; IDENTIFICATION; PARAMETERS; FLOW;
D O I
10.1109/TPWRD.2022.3167136
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:5059 / 5070
页数:12
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