Name
Abstract | ||
|---|---|---|
Load modeling is a very important aspect of voltage stability analysis as load characteristics governs voltage behavior. In this paper a compact solution to extract parameters of a load model is presented, which includes estimation of power components based on Improved Recursive Newton Type Algorithm and estimation of parameters of a dynamic Load Model using Genetic Algorithms. The paper demonstrates the influence of the preprocessing of the instantaneous values on the final estimation of load parameters. All tests were carried out using 9-buses P. M. Anderson system built in DIgSILENT. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/FUZZY.2011.6007609 | IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011) |
Keywords | Field | DocType |
load modeling, parameter estimation, genetic algorithm, power components | Load management,Dynamic load testing,Control theory,Computer science,Voltage,AC power,Estimation theory,Genetic algorithm,Recursion,Newton's method | Conference |
ISSN | Citations | PageRank |
1098-7584 | 0 | 0.34 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pawel Regulski | 1 | 100 | 12.88 |
| Francisco Gonzalez-Longatt | 2 | 22 | 8.11 |
| Vladimir V. Terzija | 3 | 80 | 14.28 |