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| Content Provider | IET Digital Library |
|---|---|
| Author | Swain, Snehaprava Ray, Pravat Kumar |
| Abstract | In this paper, a multi-objective tuning algorithm is proposed for the voltage/current controllers of the dynamic voltage restorer (DVR) in an optimal manner in order to improve the fault-ride-through (FRT) capability of the grid-connected doubly-fed induction generators. An active crowbar protection (ACB_P) coupled with the rotor of the DFIG, provides a very little compensation, on blocking the high rotor current during fault condition. Control of DVR is achieved through use of multiple PI controllers. This paper presents a novel multi-objective tuning known as Autonomous Group Particle Swarm Optimisation (AGPSO) to optimally tune the PI controllers. The optimisation algorithm uses diverse autonomous groups confined within a common target to achieve more directed and randomised search results for any population. Voltage sag compensation, total harmonic distortion (THD), RMS value of signal are the three major indices for comparison study during fault. Finally, the performance improvement in FRT of the DFIG with optimised controller was studied through DFIG responses on comparing with normal controller. Efficacy of the proposed controller proposed is verified by a simulation model of DFIG System with 1.5 MW rating in MATLAB. The results are analysed and comparative data are placed to ensure the enhanced FRT capability of the system. |
| Starting Page | 305 |
| Ending Page | 315 |
| Page Count | 11 |
| Volume Number | 2 |
| e-ISSN | 25168401 |
| Issue Number | Issue 4, Dec (2020) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-esi/2/4 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-esi.2020.0004 |
| Journal | IET Energy Systems Integration |
| Publisher | The Institution of Engineering and Technology Tianjin University |
| Publisher Date | 2020-04-16 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution -Non Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) |
| Subject Keyword | Asynchronous Generator Asynchronous Machine Autonomous Group Particle Swarm Optimisation Tuned Dynamic Voltage Restorers Combinatorial Mathematics Compensation Control of Electric Power System Control System Analysis Control System Synthesis Current Control DFIG Stator DVR Control Circuit Electric Current Control Enhanced FRT Capability Fault-ride-through Capability FRT Capability Grid Fault Grid-connected Doubly-fed Induction Generator Harmonic Distortion Harmonics Improved Fault-ride-through Capability Machine Protection MATLAB Multiobjective Tuning Algorithm Multiple Proportional–integral Controllers Optimisation Technique Optimised Controller Optimised PI Controller Particle Swarm Optimisation PI Control Point of Common Coupling Power 1.5 MW Power Converter Power Generation Control Power Generation Fault Power Generation Protection Power Generation Reliability Power Grid Power Quality Power Supplies to Apparatus Power Supply Quality Power System Control Power System Economics Power System Managemen Power System Operation Power System Protection Power System Restoration Ptimisation Algorithm-based PI Controller Randomised Search Reliability Ride-through Capability Rotors Search Problem Stators Synthesis Method System Reliability Total Harmonic Distortion Voltage Control Voltage Sag Compensation Voltage-current Controller Wind Energy Conversion System Wind Power Plant Wind Turbine |
| Content Type | Text |
| Resource Type | Article |
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