Please use this identifier to cite or link to this item: https://doi.org/10.1109/TPWRS.2004.825826
Title: Distributed mitigation of voltage sag by optimal placement of series compensation devices based on stochastic assessment
Authors: Chang, C.S. 
Yu, Z.
Keywords: Dynamic voltage restorers
Genetic algorithm
Stochastic evaluation
Thyristor voltage regulators
Voltage sag mitigation for distribution system
Issue Date: May-2004
Source: Chang, C.S., Yu, Z. (2004-05). Distributed mitigation of voltage sag by optimal placement of series compensation devices based on stochastic assessment. IEEE Transactions on Power Systems 19 (2) : 788-795. ScholarBank@NUS Repository. https://doi.org/10.1109/TPWRS.2004.825826
Abstract: Central mitigation does not necessarily provide the most economical solution to voltage-sag problems. Distributed mitigation with strategically placed compensation devices should provide a better alternative. Placement studies of this nature usually involve extensive evaluations of candidate compensation schemes, which can become unmanageable for large systems with stochastic voltage-sag data. A probability-based technique known as the weighted sampling method is proposed to simplify the problem. The technique is applied to a distribution system to optimize the cost of placing series compensation. The cost has two components: device cost and cost reduction to consumers due to implementation of the device(s). Series compensation devices being optimized are the two distinctly different dynamic voltage restorer and thyristor voltage regulator. These devices are placed and optimized to best complement each other. To achieve reliable and fast convergence, a genetic algorithm with innovative coding is proposed. A 34-node distribution system is studied with a wide range of voltage-sag data and consumer tolerance characteristics.
Source Title: IEEE Transactions on Power Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/55681
ISSN: 08858950
DOI: 10.1109/TPWRS.2004.825826
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

16
checked on Dec 14, 2017

WEB OF SCIENCETM
Citations

12
checked on Nov 17, 2017

Page view(s)

39
checked on Dec 17, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.