New nested evolutionary programming approach for voltage control optimization with distributed generation

被引：12

作者：

Batrinu, F ^{[1
]}

Carpaneto, E ^{[1
]}

Chicco, G ^{[1
]}

De Donno, M ^{[1
]}

Napoli, R ^{[1
]}

Porumb, R ^{[1
]}

Postolache, P ^{[1
]}

Toader, C ^{[1
]}

机构：

[1] Politecn Torino, Dip Ingn Elettrica Ind, I-10129 Turin, Italy

来源：

MELECON 2004: PROCEEDINGS OF THE 12TH IEEE MEDITERRANEAN ELECTROTECHNICAL CONFERENCE, VOLS 1-3 | 2004年

关键词：

distribution systems; distributed generation; voltage control; evolutionary programming;

D O I：

10.1109/MELCON.2004.1348224

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 [计算机科学与技术];

摘要：

This paper addresses the optimization of voltage control in distribution systems in the presence of distributed generation. The objective is minimizing the voltage deviations at the load nodes with respect to specified reference values. The optimization is solved by means of a new approach based on nested evolutionary programming. Results are shown on a test system including controls at the HV/MV and MV/LV substations, and voltage-controlled local generation sources.

引用

页码：1007 / 1010

页数：4

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