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Optimized Control of Multi-Terminal DC Power Systmes Using Particle Swarm Optimization
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| Author(s) |
Kumars ROUZBEHI, Arash MIRANIAN, Alvaro LUNA, Pedro RODRIGUEZ |
| Abstract |
This paper addresses the important issue of Multi-Terminal DC (MTDC) grid control strategy basedon the particle swarm optimization (PSO) technique. The MTDC grid is controlled by the concept ofvector control, in which the AC currents and voltages are transformed into the rotating directquadrature(d-q) reference quantities which are subsequently used for decoupled control of the activeand reactive powers as well as the DC and AC voltages. The paper employs an efficient PSOalgorithm for optimal tuning of the controllers’ parameters in an MTDC grid. In addition, voltagedroop control scheme is utilized to ensure the balance of active power within the MTDC grid.Simulation results that has obtained through detailed modeling of a four-terminal DC grid,demonstrate the efficiency of the proposed approach. Comparison to controllers optimized by geneticalgorithm (GA) also confirmed the favorable performance of the proposed PSO-tuned controllers. |
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| Filename: | 0447-epe2013-full-11243803.pdf |
| Filesize: | 294.8 KB |
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| Type |
Members Only |
| Date |
Last modified 2014-02-09 by System |
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