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Optimal power management of parking-lot electric vehicle charging.

机译:停车场电动汽车充电的最佳电源管理。

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摘要

Electric vehicles (EV) play an important role in the future of urban transportation systems. Major issues that restrain the EV's adoption and ramification include lack of charging infrastructure, incompatible power transmission and distribution systems, high cost of battery, among others. Charging EV at parking lots of commercial buildings implies reducing onboard battery capacity from round trip to one-way vehicle propulsion. However, compared to residential EV charging at nighttime, parking lot charging is challenged by highly dynamic electricity price and a number of stochastic factors. This dissertation studies several scheduling/optimization related problems for EVs in the parking lot.;One of the major problems for scheduling the charging of EVs in parking lots is the stochastic nature of their arrivals and departures, as well as the charging demands. The scheduling strategy must account for those stochastic factors. In this study, a two-stage approximate dynamic programming (TSADP) strategy is proposed, which uses both precise short-term-ahead vehicle arrival information and long-term statistical information in order to create a sophisticated charging strategy.;In spite of the success of centralized scheme for scheduling of the EV charging problem, the formidable computational load can grow dramatically high as the number of vehicles involves increases. In the second part of the dissertation study, a game theoretic framework is proposed as a decentralized scheduling strategy. For the parking lot EV charging problem, a particular challenge for formulating the associated game theory problem is that the transformer capacity limit results in coupled constraints for the associated optimization problem. To solve such a problem, a Rosen-Nash equilibrium theory is applied to formulate the game accordingly, and theoretical work is conducted to guarantee the existence and uniqueness of the equilibrium point.;EV's presence in the parking lots of commercial buildings not only bring forth "additional load" for building operation, but also opportunity of additional energy source when the associated economy can justify. Under electricity price spikes, the vehicle-to-building (V2B) operation can help the building operator to avoid the huge energy cost using the EV battery. Based on risk management theory, a regime-switching energy-management strategy is proposed for buildings with parking-lot EV charging.
机译:电动汽车(EV)在城市交通系统的未来中起着重要作用。限制电动汽车采用和影响的主要问题包括缺乏充电基础设施,不兼容的输配电系统,电池成本高昂等。在商业建筑停车场为电动汽车充电意味着从往返到单向车辆推进的车载电池容量减少。但是,与夜间的住宅EV充电相比,停车场的充电受到高动态电价和许多随机因素的挑战。本文研究了与停车场电动汽车调度/优化有关的若干问题。停车场电动汽车充电调度的主要问题之一是其进出场的随机性以及充电需求。调度策略必须考虑那些随机因素。在这项研究中,提出了一种两阶段近似动态规划(TSADP)策略,该策略同时使用精确的短期提前车辆到达信息和长期统计信息以创建复杂的计费策略。电动汽车充电问题的集中计划的成功实施,随着涉及车辆数量的增加,强大的计算负荷可能会急剧增加。在论文研究的第二部分,提出了一种博弈论框架作为分散调度策略。对于停车场EV充电问题,制定相关博弈论问题的一个特殊挑战是变压器容量限制导致相关优化问题的耦合约束。为解决这一问题,应用了Rosen-Nash均衡理论来制定博弈,并进行了理论工作以保证均衡点的存在和唯一性。EV在商业建筑停车场的存在不仅带来了建筑运营的“额外负荷”,以及在相关经济可以证明其合理性时的额外能源的机会。在电价飙升的情况下,车辆到建筑物(V2B)操作可以帮助建筑物运营商避免使用EV电池带来的巨大能源成本。基于风险管理理论,提出了一种带停车场电动汽车充电的建筑政权转换能源管理策略。

著录项

  • 作者

    Zhang, Lei.;

  • 作者单位

    The University of Texas at Dallas.;

  • 授予单位 The University of Texas at Dallas.;
  • 学科 Electrical engineering.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 279 p.
  • 总页数 279
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 康复医学;
  • 关键词

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