首页> 外文学位 >Market dominant plug-in hybrid electric vehicles optimal control for minimum charging cost and V2G regulation service.
【24h】

Market dominant plug-in hybrid electric vehicles optimal control for minimum charging cost and V2G regulation service.

机译:市场主导的插电式混合动力汽车的最佳控制,可实现最低的充电成本和V2G调节服务。

获取原文
获取原文并翻译 | 示例

摘要

Plug-in hybrid electric vehicles (PHEVs) share the characteristics of hybrid electric vehicles (HEVs) and electric vehicles (EVs), employing electric motors and internal combustion engines (ICEs) for propulsion as well as large capacity batteries for energy storage. PHEVs will play a vital role in future as a sustainable transportation system, promising for environment, energy solution, and economy. It is estimated that by 2015, the total number of PHEVs in the world will be approximately 1.7 million with the U.S. marking leading the industry with about one million PHEVs. Growing penetration of PHEVs will place significant impacts on the grid, either as additional electric loads or potential assets which could provide various vehicle-to-grid (V2G) services. V2G support is taken into account as frequency regulation by participating in ancillary service markets. However, if implemented without proper control, large scale PHEVs will cause increases of peak load and destabilize the grid.;This PhD work proposes an optimization strategy to maximize V2G profits as well as to minimize charging costs. The optimization strategy is based on a forecast of future electricity price for both residential electricity and regulation market. Due to the stochastic nature of electricity price, final prices cannot be deterministically calculated. Therefore, the addressed problem is solved by stochastic dynamic programming to find the economically optimal solution with price uncertainties. The major contributions of this paper are: • Mathematically model the optimal control of PHEV with comprehensive transition function and cost function; • A full study of battery life and cost that considers different ageing factors; • A stochastic study of uncertainty and volatility in electricity price; • Include battery degradation and price uncertainty in the comprehensive function for optimal control.
机译:插电式混合动力电动汽车(PHEV)具有混合动力电动汽车(HEV)和电动汽车(EV)的特性,采用电动马达和内燃机(ICE)进行推进,并使用大容量电池进行储能。插电式混合动力汽车将在未来作为可持续的交通运输系统发挥至关重要的作用,对环境,能源解决方案和经济都有希望。据估计,到2015年,全球PHEV的总数将约为170万辆,美国以约100万辆PHEV领先于该行业。插电式混合动力汽车的日益普及将对电网产生重大影响,可能是额外的电力负荷或可能提供各种车辆到电网(V2G)服务的潜在资产。通过参与辅助服务市场,V2G支持被视为频率调节。但是,如果在没有适当控制的情况下实施,大型PHEV将导致峰值负载增加并破坏电网稳定性。该博士工作提出了一种优化策略,以最大化V2G利润并最小化充电成本。优化策略基于对居民用电和监管市场的未来电价的预测。由于电价具有随机性,因此无法确定性地计算最终价格。因此,通过随机动态规划解决了所解决的问题,以找到具有价格不确定性的经济最优解决方案。本文的主要贡献是:•用综合的过渡函数和成本函数对PHEV的最优控制进行数学建模; •考虑不同老化因素的电池寿命和成本的全面研究; •对电价不确定性和波动性的随机研究; •在综合功能中包括电池退化和价格不确定性,以实现最佳控制。

著录项

  • 作者

    Li, Zhihao.;

  • 作者单位

    Illinois Institute of Technology.;

  • 授予单位 Illinois Institute of Technology.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 148 p.
  • 总页数 148
  • 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