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| Content Provider | IET Digital Library |
|---|---|
| Author | Kahouli, Omar Jebali, Mariam Alshammari, Badr Abdallah, Hsan Hadj |
| Abstract | This study focused on the use of the non-dominated sorting genetic algorithm (NSGA-II) to achieve an optimal power system stabiliser (PSS) parameters for a given operating point with a renewable source of energy so as to increase the system damping and guarantee enough stability margin. The parameters tuning was formulated using an eigenvalue-based multi-objective function. In recent years, the changeability and fluctuation of the wind power injected into the network have led to new challenges in small signal stability (SSS). These wind speed change and load demand change perturbations take place routinely and cause the variation of the operating conditions. However, as the conventional PSS is conceived for a fixed operating point in order to obtain the linearised transfer function model, it cannot yield good results when the operating range is too wide. To this end, the adaptive neuro-fuzzy inference system was proposed to estimate the stabiliser parameters in real time after a learning phase. The nine-bus Western System Coordinating Council and the obtained simulations results were assessed using Matlab/Simulink package. The validity of the proposed methodology was checked through the PSS parameters evolution simulation for daily load forecast curves and monthly wind speed prediction curves. |
| Starting Page | 116 |
| Ending Page | 127 |
| Page Count | 12 |
| ISSN | 17521416 |
| Volume Number | 13 |
| e-ISSN | 17521424 |
| Issue Number | Issue 1, Jan (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-rpg/13/1 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2018.5204 |
| Journal | IET Renewable Power Generation |
| Publisher Date | 2018-10-29 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Adaptive Neuro-fuzzy Inference System Changeability Conventional PSS Damping Eigen Values And Eigen Function Eigenvalue-based Multiobjective Function Fixed Operating Point Fuzzy Neural Nets Genetic Algorithm Linearised Transfer Function Model Load Demand Change Perturbations Low-frequency Oscillations Damping Monthly Wind Speed Prediction Curves Multimachine Power System Neural Computing Technique Nine-bus Western System Coordinating Council Non-dominated Sorting Genetic Algorithm NSGA-II Operating Condition Operating Range Optimal Power System Stabiliser Parameter Optimisation Technique Parameter Tuning Power Engineering Computing Power System Control Power System Stability PSS Design PSS Parameter Evolution Simulation Renewable Power Generation Penetration Small Signal Stability Stability Margin System Damping Transfer Function Wind Power Wind Power Plant Wind Speed Change |
| Content Type | Text |
| Resource Type | Article |
| Subject | Renewable Energy, Sustainability and the Environment |
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