首页> 外文期刊>Energy Conversion & Management >An improved charging/discharging strategy of lithium batteries considering depreciation cost in day-ahead microgrid scheduling
【24h】

An improved charging/discharging strategy of lithium batteries considering depreciation cost in day-ahead microgrid scheduling

机译:考虑日前微电网调度中折旧成本的改进锂电池充电/放电策略

获取原文
获取原文并翻译 | 示例
           

摘要

An energy storage system is critical for the safe and stable operation of a microgrid (MG) and has a promising prospect in future power system. Economical and safe operation of storage system is of great significance to MGs. This paper presents an improved management strategy for lithium battery storage by establishing a battery depreciation cost model and employing a practical charging/discharging strategy. Firstly, experimental data of lithium battery cycle lives, which are functions of the depth of discharge, are investigated and synthesized. A quantitative depreciation cost model is put forward for lithium batteries from the perspective of cycle life. Secondly, a practical charging/discharging strategy is applied to the lithium battery management in MGs. Then, an optimal scheduling model is developed to minimize MG operational cost including battery depreciation cost. Finally, numerical tests are conducted on a typical grid-connected MG. Results show that the depth of discharge of storage is scheduled more rationally, and operational cost is simultaneously saved for MG under the proposed management strategy. This study helps to improve the cost efficiency and alleviate the aging process for lithium batteries. (C) 2015 Elsevier Ltd. All rights reserved.
机译:储能系统对于微电网(MG)的安全和稳定运行至关重要,在未来的电力系统中具有广阔的前景。存储系统的经济,安全运行对管理者具有重要意义。本文通过建立电池折旧成本模型并采用实用的充电/放电策略,提出了一种改进的锂电池存储管理策略。首先,研究和合成了锂电池循环寿命的实验数据,该数据是放电深度的函数。从循环寿命的角度出发,提出了锂电池的定量折旧成本模型。其次,将实用的充电/放电策略应用于MG的锂电池管理中。然后,开发了一种最佳调度模型,以最大程度地降低包括电池折旧成本在内的MG运营成本。最后,对典型的并网MG进行了数值测试。结果表明,在提出的管理策略下,MG的排料深度安排得更加合理,MG可以同时节省运营成本。这项研究有助于提高成本效率并减轻锂电池的老化过程。 (C)2015 Elsevier Ltd.保留所有权利。

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