• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Energy Conversion & Management >Energy dispatch fuzzy controller for a grid-independent photovoltaic system
【24h】

Energy dispatch fuzzy controller for a grid-independent photovoltaic system

机译：与电网无关的光伏系统的能量分配模糊控制器

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper presents the development of an optimized fuzzy logic based photovoltaic (PV) energy dispatch controller using a swarm intelligence algorithm The PV system considered is grid-independent and consists of a fuzzy logic controller (FLC), PV arrays, battery storage, and two types of loads: a constant critical load and a time-varying non-critical load. The swarm intelligence applied in this paper is the particle swarm optimization (PSO) algorithm and is used to optimize both membership functions and rule set of the FLC. By using PSO algorithm, the optimized FLC is able to maximize energy to the system loads while also maintaining a higher average state of battery charge. This optimized FLC is then compared with the standard energy dispatch controller, referred to as the "PV-priority" controller. The PV-priority controller attempts to power all loads and then charge the battery resulting on lesser number of days of power to critical loads unlike the optimized FLC.
机译：本文介绍了一种采用群体智能算法的基于优化模糊逻辑的光伏（PV）能源调度控制器的开发。所考虑的光伏系统与电网无关，由模糊逻辑控制器（FLC），光伏阵列，电池存储和两个负载类型：恒定的临界负载和随时间变化的非临界负载。本文应用的群智能是粒子群优化（PSO）算法，用于优化FLC的隶属函数和规则集。通过使用PSO算法，优化的FLC能够最大化系统负载的能量，同时还可以保持较高的电池平均状态。然后，将此优化的FLC与标准的能源分配控制器（称为“ PV优先级”控制器）进行比较。与优化的FLC不同，PV优先级控制器尝试为所有负载供电，然后为电池充电，从而导致关键负载的供电天数减少。

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