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Simulated annealing to handle energy and ancillary services joint management considering electric vehicles

机译:考虑电动汽车的模拟退火处理能源和辅助服务联合管理

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摘要

The massive use of distributed generation and electric vehicles will lead to a more complex management of the power system, requiring new approaches to be used in the optimal resource scheduling field. Electric vehicles with vehicle-to-grid capability can be useful for the aggregator players in the mitigation of renewable sources intermittency and in the ancillary services procurement. In this paper, an energy and ancillary services joint management model is proposed. A simulated annealing approach is used to solve the joint management for the following day, considering the minimization of the aggregator total operation costs. The case study considers a distribution network with 33-bus, 66 distributed generation and 2000 electric vehicles. The proposed simulated annealing is matched with a deterministic approach allowing an effective and efficient comparison. The simulated annealing presents a solution closer to the one obtained in the deterministic approach (1.03% error), yet representing 0.06% of the deterministic approach CPU time performance. (C) 2016 Elsevier B.V. All rights reserved.
机译:分布式发电和电动汽车的大量使用将导致电力系统的管理更加复杂,因此需要在最佳资源调度领域中使用新方法。具备车辆到电网能力的电动汽车对于聚合方参与者在缓解可再生能源间歇性和辅助服务采购方面可能很有用。本文提出了一种能源与辅助服务联合管理模型。考虑到将聚合器的总运营成本降至最低,采用了模拟退火方法来解决第二天的联合管理。案例研究考虑了具有33辆巴士,66台分布式发电和2000辆电动汽车的配电网络。拟议的模拟退火与确定性方法相匹配,从而可以进行有效而有效的比较。模拟退火提供了一种更接近确定性方法的解决方案(误差为1.03%),但仍占确定性方法CPU时间性能的0.06%。 (C)2016 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Electric power systems research》 |2016年第7期|383-397|共15页
  • 作者单位

    Polytech Porto IPP, Knowledge Engn & Decis Support Res Ctr, GECAD, R Dr Antonio Bernardino de Almeida 431, P-4200072 Oporto, Portugal;

    Tech Univ Denmark, Dept Elect Engn, AUTomat & Control Grp, Bld 326, DK-2800 Lyngby, Denmark;

    Tech Univ Denmark, Dept Elect Engn, AUTomat & Control Grp, Bld 326, DK-2800 Lyngby, Denmark;

    Univ Lisbon, Inst Super Tecn, INESC ID, P-1699 Lisbon, Portugal;

    Polytech Porto IPP, Knowledge Engn & Decis Support Res Ctr, GECAD, R Dr Antonio Bernardino de Almeida 431, P-4200072 Oporto, Portugal;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Ancillary services; Electric vehicle; Optimal resource scheduling; Simulated annealing; Virtual power player;

    机译:辅助服务;电动汽车;最优资源调度;模拟退火;虚拟电源播放器;

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