首页> 外文学位 >Reliablity modeling and simulation of composite power systems with renewable energy resources and storage.
【24h】

Reliablity modeling and simulation of composite power systems with renewable energy resources and storage.

机译:具有可再生能源和储能的复合电力系统的可靠性建模和仿真。

获取原文
获取原文并翻译 | 示例

摘要

This research proposes an efficient reliability modeling and simulation methodology in power systems to include photovoltaic units, wind farms and storage. Energy losses by wake effect in a wind farm are incorporated. Using the wake model, wind shade, shear effect and wind direction are also reflected. For solar modules with titled surface, more accurate hourly photovoltaic power in a specific location is calculated with the physical specifications. There exists a certain level of correlation between renewable energy and load. This work uses clustering algorithms to consider those correlated variables. Different approaches are presented and applied to the composite power system, and compared with different scenarios using reliability analysis and simulation. To verify the results, reliability indices are compared with those from original data.;As the penetration of renewables increases, the reliability issues will become more important because of the intermittent and non-dispatchable nature of these sources of power. Storage can provide the ability to regulate these fluctuations. The use of storage is investigated in this research.;To determine the operating states and transition times of all turbines, Monte Carlo is used for system simulation in the thesis. A conventional power system from IEEE Reliability Test Systems is used with transmission line capacity, and wind and solar data are from National Climatic Data Center and National Renewal Energy Laboratory. The results show that the proposed technique is effective and efficient in practical applications for reliability analysis.
机译:这项研究提出了一种在电力系统中有效的可靠性建模和仿真方法,该方法应包括光伏装置,风电场和存储。并入了风电场中由于尾流效应而产生的能量损失。使用尾流模型,还可以反映出风影,剪切效应和风向。对于具有标题表面的太阳能模块,将根据物理规格计算出特定位置的更精确的每小时光伏发电量。可再生能源和负荷之间存在一定程度的相关性。这项工作使用聚类算法来考虑那些相关变量。提出了不同的方法并将其应用于复合电力系统,并使用可靠性分析和仿真将其与不同的方案进行了比较。为了验证结果,将可靠性指标与原始数据进行比较。随着可再生能源渗透率的提高,由于这些电源的间歇性和不可分配性,可靠性问题将变得更加重要。存储可以提供调节这些波动的能力。本研究对存储的使用进行了研究。为了确定所有涡轮的运行状态和过渡时间,本文将蒙特卡洛用于系统仿真。 IEEE可靠性测试系统公司的常规电源系统具有传输线容量,风能和太阳能数据来自国家气候数据中心和国家可再生能源实验室。结果表明,所提出的技术在实际应用中是有效而有效的。

著录项

  • 作者

    Kim, Hag-Kwen.;

  • 作者单位

    Texas A&M University.;

  • 授予单位 Texas A&M University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 121 p.
  • 总页数 121
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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