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| Content Provider | IET Digital Library |
|---|---|
| Author | Areed, Emad Fuad Abido, Mohamed A. Awami, Ali T. Al Hussain, Syed Asim |
| Abstract | This study proposes a new averaged model for steady-state and dynamic response analysis of the electric spring (ES). The accuracy of steady-state and dynamic behaviour of the ES is demonstrated. Further, the dynamic behaviour of the proposed model is described as a function of the modulating signal. The developed model is used to design a controller for bus voltage regulation in a distribution system with an intermittent renewable energy source. The ES controller design problem is formulated as an optimization problem with a time domain-based objective function to reduce the time-weighted voltage deviations using particle swarm optimization method. Different disturbances have been applied to verify the developed ES model accuracy including sudden changes in renewable source current and load variations. An experimental analysis is also performed with the detailed non-linear switching model of the ES to verify its behaviour with that of the proposed averaged model. The characteristics and performance of ES are thoroughly investigated. The effectiveness of the developed model and the proposed controller design approach is demonstrated in terms of a significant improvement in the dynamic performance of the distribution system |
| Starting Page | 226 |
| Ending Page | 236 |
| Page Count | 11 |
| Volume Number | 3 |
| e-ISSN | 25152947 |
| Issue Number | Issue 2, Apr (2020) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-stg/3/2 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2018.0149 |
| Journal | IET Smart Grid |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2019-10-01 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution-Non Commercial-No Derivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) |
| Subject Keyword | Averaged Model Bus Voltage Regulation Control of Electric Power System Control System Analysis Control System Synthesis Current Signal Demand Side Management Distribution Network Distribution System Dynamic Analysis Dynamic Behaviour Dynamic Performance Dynamic Response Dynamic Response Analysis Electric Spring Average Model Development ES Controller Design Problem ES Model Accuracy Intermittent Renewable Energy Source Load Variation Modulating Signal Nonlinear Model Optimisation Technique Output Voltage Signal Particle Swarm Optimisation Particle Swarm Optimisation Method Power Distribution Control Power System Control Power System Economics Power System Managemen Power System Operation Renewable Energy Source Renewable Source Current Steady-state Analysis Switching Model Synthesis Method Time Domain-based Objective Function Time-weighted Voltage Deviations Voltage Control |
| Content Type | Text |
| Resource Type | Article |
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