This paper presents a messy genetic-algorithm based optimization scheme for SVC planning, aimed at voltage stability enhancement of power systems under most critical and N-1 operation conditions. The SVC placement was formulated as a multi-objective optimization problem in terms of maximum worst-case reactive power margin, highest load voltages towards the critical operating points, minimum real power losses, and lowest SVC device costs. During the genetic algorithm search for the optimal solution, the most critical disturbance scenario was estimated with each SVC placement and the configuration of the original power system. The preselected candidate was further checked against the N-1 security criterion.
History
Publication title
Proceedings of the 2nd IEEE International Energy Conference and Exhibition
Editors
A Testa
Pagination
415-420
ISBN
978-1-4673-1454-1
Department/School
School of Engineering
Publisher
Institute of Electrical and Electronics Engineers
Place of publication
Florence, Italy
Event title
2nd IEEE International Energy Conference and Exhibition (ENERGYCON) – Towards User-centric Smart Systems