Paper Info
Title
A Novel Multiobjective OPP for Power System Small Signal Stability Assessment Considering WAMS Uncertainties
Abstract
In this paper, a multiobjective optimization method for the placement of phasor measurement units (PMUs) is proposed. The proposed method simultaneously considers different objectives including the power system small signal stability, the probability of system observability, and the total cost of PMUs. In the proposed optimal PMUs placement (OPP) model, wide area measurement system (WAMS) uncertainties and network configuration changes are also considered, while the variable cost of PMUs, based on the number of PMU channels is also observed. The elitist nondominated sorting genetic algorithm (NSGA-II) is used to obtain the Pareto optimal solutions and the best compromise final solution is selected by the decision maker on the basis of his priorities. Some simulation results on different test systems in different scenarios are presented and discussed. They confirmed that the proposed multiobjective model provides effective information for small signal stability assessment with minimum PMU cost in the presence of uncertainties.
Year
DOI
Venue
2020
10.1109/TII.2019.2911397
IEEE Transactions on Industrial Informatics
Keywords
DocType
Volume
Nondominated sorting genetic algorithm-II (NSGA-II),phasor measurement units (PMUs),small signal stability,wide-area measurement system (WAMS)
Journal
16
Issue
ISSN
Citations 
5
1551-3203
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Moossa Khodadadi Arpanahi100.34
Hassan Haes Alhelou2813.42
Pierluigi Siano327161.21