Heuristic optimization based approach for identification of power system dynamic equivalents

被引：16

作者：

Rueda, Jose L. ^{[1
]}

Cepeda, Jaime ^{[2
]}

Erlich, Istvan ^{[3
]}

Echeverria, Diego ^{[2
]}

Argueello, Gabriel ^{[2
]}

机构：

[1] Delft Univ Technol, Dept Elect Sustainable Energy, NL-2628 CD Delft, Netherlands

[2] Corporac CENACE, Quito 17211991, Ecuador

[3] Univ Duisburg Essen, Dept Elect Power Syst, D-47057 Duisburg, Germany

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2015年 / 64卷

关键词：

Dynamic equivalent; Heuristic optimization; Mean-variance mapping optimization; Power system dynamic performance; Power system modeling;

D O I：

10.1016/j.ijepes.2014.07.012

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：

This paper introduces an approach for identification of dynamic equivalent parameters from measured operational dynamic responses associated to different disturbances. To tackle challenges related to optimization problem complexity (i.e., non-linearity of time-domain simulation based fitness calculation, discontinuity, non-convexity, and multimodality), the approach adopts a novel variant of the mean-variance mapping optimization algorithm to pursue efficient and fast search capability. This variant bases on swarm intelligence precepts and employs a multi-parent crossover criterion for offspring creation. Numerical tests performed on the Ecuadorian Colombian interconnected system, including performance comparisons with other heuristic optimization tools, support the potential of the proposal to provide accurate estimates within a fast convergence rate. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：185 / 193

页数：9

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