电器与能效管理技术 ›› 2022, Vol. 0 ›› Issue (5): 65-70.doi: 10.16628/j.cnki.2095-8188.2022.05.010

• 储能技术 • 上一篇    下一篇

基于电网分时电价机制考虑电动汽车灵活充电的微电网能量管理

何兆蓉, 高逸云, 黄瀚霆, 刘钊   

  1. 南京理工大学自动化学院, 江苏 南京 210094
  • 收稿日期:2022-01-27 出版日期:2022-05-30 发布日期:2022-07-01
  • 作者简介:何兆蓉(1999—),女,研究方向为智能电网信息工程。|高逸云(2000—),女,研究方向为电力系统及其自动化。|黄瀚霆(2000—),男,研究方向为自动化。
  • 基金资助:
    江苏省重点研发计划(BE2019018)

Microgrid Energy Management Considering Flexible Charging of Electric Vehicles Based on Grid Time-of-Use Price Mechanism

HE Zhaorong, GAO Yiyun, HUANG Hanting, LIU Zhao   

  1. School of Automation,Nanjing University of Science and Technology, Nanjing 210094, China
  • Received:2022-01-27 Online:2022-05-30 Published:2022-07-01

摘要:

随着新能源电动汽车的不断普及和推广,在电动汽车灵活接入电网情况下,保证电网功率波动更平滑成为目前要面对的重要问题之一。以电网运行成本最低为目标,以风力,光伏等多种发电方式为对象,微电网能量管理系统通过考虑电网分时电价及合理储能的特性,综合考虑普通负荷和电动汽车负荷的微电网能量管理系统建立模型。分别在正常天气和阴雨、无风等特殊天气的情况下,运用不同的微电网运行策略,结合上海地区每年的降水日数与晴朗日数比进行仿真。结果表明,所建模型不仅可以降低电网运行成本,而且可以减少电力资源的浪费。

关键词: 微电网, 分布式电源, 分时电价, 能量优化管理, 电动汽车

Abstract:

With the continuous popularization and promotion of new energy electric vehicles,ensuring smoother grid power fluctuations has become one of the important issues to be faced at present when the vehicles are flexibly connected to the grid.Aiming at the lowest grid operating cost and takeing wind,photovoltaic and other power generation methods as the object,the microgrid energy management system model is established,by considering the characteristics of the grid time-of-use electricity price and reasonable energy storage,and comprehensively considering the ordinary loads and electric vehicle loads.Under the normal weather and the special weather conditions such as rainy and windless,using different microgrid operation strategies,combining with the ratio of the number of precipitation days to the number of sunny days in Shanghai each year,the simulation is completed.The results show that the model not only can reduce the cost of power grid operation,but also reduce the waste of power resources.

Key words: microgrid, distributed power, time-of-use price, energy optimization management, electric car

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