首页> 外文会议>2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive >Maximum Power Point Tracking Control Based on Modified ABC Algorithm for Shaded PV System
【24h】

Maximum Power Point Tracking Control Based on Modified ABC Algorithm for Shaded PV System

机译:基于改进ABC算法的遮阳光伏系统最大功率点跟踪控制

获取原文
获取原文并翻译 | 示例

摘要

When partial shading condition (PSC) occurs, the output p-v characteristic of photovoltaic array presents multi-peak characteristics. The traditional Maximum Power Point Tracking (MPPT) method is easy to be trapped in a local maximum power point, and cannot quickly and accurately track the global maximum power point. Therefore, to track the maximum power point of the photovoltaic system quickly and accurately under partial shading conditions (PSCs), this paper proposes an efficient MPPT controller based on modified artificial bee colony (MABC) algorithm. The proposed control strategy is compared with perturbation and observation (P&O) algorithm, particle swarm algorithm (PSO) and standard artificial bee colony (ABC) algorithm to verify its effectiveness and superiority.
机译:当出现部分阴影条件(PSC)时,光伏阵列的输出p-v特性呈现多峰特性。传统的最大功率点跟踪(MPPT)方法很容易陷入本地最大功率点,并且无法快速而准确地跟踪全局最大功率点。因此,为了在部分阴影条件下快速准确地跟踪光伏系统的最大功率点,本文提出了一种基于改进的人工蜂群算法的高效MPPT控制器。将所提出的控制策略与摄动和观测(P&O)算法,粒子群算法(PSO)和标准人工蜂群(ABC)算法进行比较,以验证其有效性和优越性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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