首页> 外文OA文献 >Optimized control of multi-terminal DC GridsUsing particle swarm optimization
【2h】

Optimized control of multi-terminal DC GridsUsing particle swarm optimization

机译:多端直流电网优化控制采用粒子群优化算法

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

This paper addresses the important issue of Multi-Terminal DC (MTDC) grid control strategy based on the particle swarm optimization (PSO) technique. The MTDC grid is controlled by the concept of vector 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 active and reactive powers as well as the DC and AC voltages. The paper employs an efficient PSO algorithm for optimal tuning of the controllers’ parameters in an MTDC grid. In addition, voltage droop control scheme is utilized to ensure the balance of active power within the MTDC grid.\udSimulation 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 genetic algorithm (GA) also confirmed the favorable performance of the proposed PSO-tuned controllers.
机译:本文解决了基于粒子群优化(PSO)技术的多终端DC(MTDC)网格控制策略的重要问题。 MTDC电网通过矢量控制的概念进行控制,其中交流电流和电压被转换为旋转直接正交(dq)参考量,随后将其用于有功和无功以及直流和交流的解耦控制电压。本文采用了一种有效的PSO算法,以优化MTDC网格中控制器的参数。此外,利用电压降控制方案来确保MTDC电网内有功功率的平衡。\ ud通过对四端DC电网进行详细建模获得的仿真结果证明了该方法的有效性。与通过遗传算法(GA)优化的控制器的比较也证实了所提出的PSO调整控制器的良好性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号