• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE transactions on industrial informatics >Historical-Data-Based Energy Management in a Microgrid With a Hybrid Energy Storage System
【24h】

Historical-Data-Based Energy Management in a Microgrid With a Hybrid Energy Storage System

机译：带有混合储能系统的微电网中基于历史数据的能源管理

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

In a microgrid, due to potential reverse power profiles between the renewable energy source (RES) and the loads, energy storage devices are employed to achieve high self-consumption of RES and to minimize power surplus flowing back into the main grid. This paper proposes a variable charging/discharging threshold method to manage the energy storage system. In addition, an adaptive intelligence technique (AIT) is put forward to raise the power management efficiency. A battery–ultra-capacitor hybrid energy storage system (HESS) with merits of high energy and power density is used to evaluate the proposed method with on-site-measured RES output data. Compared with the particle swarm optimization (PSO) algorithm based on the precise predicted data of the load and the RES, the results show that the proposed method can achieve better load smoothing and self-consumption of the RES without the requirement of precise load and RES forecasting.
机译：在微电网中，由于可再生能源（RES）与负载之间存在潜在的反向功率分布，因此采用储能设备来实现RES的高自耗，并最大限度地减少流回主电网的剩余电力。本文提出了一种可变的充放电阈值方法来管理储能系统。此外，提出了一种自适应智能技术（AIT）来提高电源管理效率。具有高能量和高功率密度优点的电池-超级电容器混合储能系统（HESS）被用于通过现场测量的RES输出数据来评估该方法。与基于负荷和RES的精确预测数据的粒子群优化（PSO）算法相比，结果表明，该方法可以在不需要精确负荷和RES的情况下实现更好的RES负荷平滑和自耗。预测。

著录项

  • 来源
    《IEEE transactions on industrial informatics》 |2017年第5期|2597-2605|共9页
  • 作者

    Ke Jia; Yiru Chen; Tianshu Bi; Yaoqi Lin; David Thomas; Mark Sumner;

  • 作者单位

    Department of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China;

    State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China;

    North China Electric Power University, Beijing, China;

    Department of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China;

    Department of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China;

    Department of Electrical and Electronic Engineering, University of Nottingham, Nottingham, U.K;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Batteries; Energy management; Dispatching; Mathematical model; Capacitors; Load modeling;

    机译：电池;能源管理;调度;数学模型;电容器;负荷建模;

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