• HOME
  • About Journal
    • Historical evolution
    • Journal Honors
  • Editorial Board
    • Members of Committee
    • Director of the Committee
    • President and Editor in chief
  • Submission Guide
    • Instructions for Authors
    • Manuscript Processing Flow
    • Model Text
    • Procedures for Submission
  • Academic Influence
  • Open Access
  • Ethics&Policies
    • Publication Ethics Statement
    • Peer Review Process
    • Academic Misconduct Identification and Treatment
    • Advertising and Marketing
    • Correction and Retraction
    • Conflict of Interest
    • Authorship & Copyright
  • Contact Us
  • Chinese
Site search        
文章摘要
考虑电动汽车移动储能的微电网调度
The microgrid scheduling considering mobile energy storage of electric vehicles
Received:May 19, 2020  Revised:May 29, 2020
DOI:10.19753/j.issn1001-1390.2021.02.013
中文关键词: 电动汽车  移动储能  微电网  能量管理
英文关键词: Electric vehicle, Mobile energy storage, Micro power grid, Energy management
基金项目:国网湖南省电力有限公司科技项目资助(5216A5180018)
Author NameAffiliationE-mail
HUANG Jingyao Three Gorges University 772374023@qq.com 
HOU Dengxu* Three Gorges University 270949460@qq.com 
ZHU Jiashuai Three Gorges University 1206112446@qq.com 
Wen Zhaowei Shennongjia Power Supply Company, Yichang, Hubei Province, China 469968906@qq.com 
Hits: 1733
Download times: 520
中文摘要:
      将电动汽车电池集成到微电网可以为微电网提供额外的电能存储,其收益取决于市场电力价格、电动汽车充电状态和进站/出站率等因素。假设微电网由热力机组、可再生能源和含储能设施的停车场组成。本文提出了一种考虑电动汽车移动储能特性的能源管理优化模型,模型的目标函数是最小化预期的总运营成本,包括前期市场的能源购销成本、热力机组的启停成本及发电成本、电池的磨损成本以及在每个场景中与当地电力分销商进行电力交换的成本等。本文采用Benders分解算法对模型进行求解,并利用修改的14节点系统进行了仿真验证。仿真结果表明,利用电动汽车电池的储能特性有效降低了微电网的总运行成本。
英文摘要:
      The integration of EV batteries into the microgrid can provide additional energy storage for the microgrid, the benefits of which depend on factors such as market electricity prices, ev charging status, and in-station/out-station rates. It is assumed that the microgrid consists of thermal units, renewable energy and a parking lot containing energy storage facilities. This paper proposed a optimization model of mobile energy storage energy management optimization model. The objective function of the model is to minimize the expected total operating costs, including the energy purchase and sales costs in the market, the start-up/down costs of the thermal unit, the battery wear and tear costs, and the cost of power exchange with the local power distributor in each scenario. In this paper, Benders decomposition algorithm was used to solve the model, and the modified 14-node system was used for simulation verification.The simulation results show that the energy storage characteristics of ev batteries can effectively reduce the total operation cost of the micro grid.
View Full Text   View/Add Comment  Download reader
Close
  • Home
  • About Journal
    • Historical evolution
    • Journal Honors
  • Editorial Board
    • Members of Committee
    • Director of the Committee
    • President and Editor in chief
  • Submission Guide
    • Instructions for Authors
    • Manuscript Processing Flow
    • Model Text
    • Procedures for Submission
  • Academic Influence
  • Open Access
  • Ethics&Policies
    • Publication Ethics Statement
    • Peer Review Process
    • Academic Misconduct Identification and Treatment
    • Advertising and Marketing
    • Correction and Retraction
    • Conflict of Interest
    • Authorship & Copyright
  • Contact Us
  • 中文页面
Address: No.2000, Chuangxin Road, Songbei District, Harbin, China    Zip code: 150028
E-mail: dcyb@vip.163.com    Telephone: 0451-86611021
© 2012 Electrical Measurement & Instrumentation
黑ICP备11006624号-1
Support:Beijing Qinyun Technology Development Co., Ltd