Optimal SVC placement for voltage stability reinforcement of power systems with most critical and N-1 security criteria

Jiansheng Huang; Zhuhan Jiang; Michael Negnevitsky

doi:10.1109/EnergyCon.2012.6347793

Optimal SVC placement for voltage stability reinforcement of power systems with most critical and N-1 security criteria

Jiansheng Huang
, Zhuhan Jiang
, Michael Negnevitsky

School of Computer, Data & Mathematical Sciences

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

6 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2012 IEEE International Energy Conference and Exhibition (ENERGYCON 2012), Florence, Italy, 9-12 September 2012
Publisher	IEEE
Pages	415-420
Number of pages	6
ISBN (Print)	9781467314534
DOIs	https://doi.org/10.1109/EnergyCon.2012.6347793
Publication status	Published - 2012
Event	IEEE International Energy Conference And Exhibition - Duration: 9 Sept 2012 → …

Conference

Conference	IEEE International Energy Conference And Exhibition
Period	9/09/12 → …

Keywords

genetic algorithms
optimization
power system stability
power systems
reactive power

Access to Document

10.1109/EnergyCon.2012.6347793

Cite this

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title = "Optimal SVC placement for voltage stability reinforcement of power systems with most critical and N-1 security criteria",

abstract = "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.",

keywords = "genetic algorithms, optimization, power system stability, power systems, reactive power",

author = "Jiansheng Huang and Zhuhan Jiang and Michael Negnevitsky",

year = "2012",

doi = "10.1109/EnergyCon.2012.6347793",

language = "English",

isbn = "9781467314534",

pages = "415--420",

booktitle = "2012 IEEE International Energy Conference and Exhibition (ENERGYCON 2012), Florence, Italy, 9-12 September 2012",

publisher = "IEEE",

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}

Huang, J, Jiang, Z & Negnevitsky, M 2012, Optimal SVC placement for voltage stability reinforcement of power systems with most critical and N-1 security criteria. in 2012 IEEE International Energy Conference and Exhibition (ENERGYCON 2012), Florence, Italy, 9-12 September 2012. IEEE, pp. 415-420, IEEE International Energy Conference And Exhibition, 9/09/12. https://doi.org/10.1109/EnergyCon.2012.6347793

Optimal SVC placement for voltage stability reinforcement of power systems with most critical and N-1 security criteria. / Huang, Jiansheng; Jiang, Zhuhan; Negnevitsky, Michael.
2012 IEEE International Energy Conference and Exhibition (ENERGYCON 2012), Florence, Italy, 9-12 September 2012. IEEE, 2012. p. 415-420.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Optimal SVC placement for voltage stability reinforcement of power systems with most critical and N-1 security criteria

AU - Huang, Jiansheng

AU - Jiang, Zhuhan

AU - Negnevitsky, Michael

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - genetic algorithms

KW - optimization

KW - power system stability

KW - power systems

KW - reactive power

UR - http://handle.uws.edu.au:8081/1959.7/521872

U2 - 10.1109/EnergyCon.2012.6347793

DO - 10.1109/EnergyCon.2012.6347793

M3 - Conference Paper

SN - 9781467314534

SP - 415

EP - 420

BT - 2012 IEEE International Energy Conference and Exhibition (ENERGYCON 2012), Florence, Italy, 9-12 September 2012

PB - IEEE

T2 - IEEE International Energy Conference And Exhibition

Y2 - 9 September 2012

ER -

Optimal SVC placement for voltage stability reinforcement of power systems with most critical and N-1 security criteria

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Keywords

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