北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2015, Vol. 38 ›› Issue (3): 77-81,87.doi: 10.13190/j.jbupt.2015.03.012

• 论文 • 上一篇    下一篇

微电网中面向用户的自适应能量调度策略

周文辉1,2, 钟伟锋2, 余荣2   

  1. 1. 电子科技大学 中山学院, 广东 中山 528402;
    2. 广东工业大学 自动化学院, 广州 510006
  • 收稿日期:2015-02-26 出版日期:2015-06-28 发布日期:2015-06-28
  • 作者简介:周文辉(1972—), 男, 副教授, E-mail: zwhmailbox@tom.com.
  • 基金资助:

    国家自然科学基金项目(61422201,61370159,U1201253);广东省优秀青年教师培养计划(YQ2013057);广州市珠江科技新星专项(2014J2200097)

An Adaptive Energy Scheduling Strategy for Electricity Consumers in Micro Grid

ZHOU Wen-hui1,2, ZHONG Wei-feng2, YU Rong2   

  1. 1. Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528402, China;
    2. Faculty of Automation, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2015-02-26 Online:2015-06-28 Published:2015-06-28

摘要:

基于微电网中分布式可再生能源和双向能量交易,提出一种自适应能量调度策略. 调度中心收集微电网中所有用户的负载信息,并根据实时的电价信息,集中调度用户的负载用电. 该调度策略采用自适应动态规划方法,通过在线网络训练优化能量调度策略. 仿真结果表明,该方法能够对整个调度过程进行在线学习,从而最小化用户的总电能费用.

关键词: 微电网, 分布式可再生能源, 能量调度, 自适应动态规划

Abstract:

Based on the distributed renewable energy resources and the bidirectional energy transaction in micro grid, an adaptive energy scheduling strategy is proposed. The scheduling center collects the load information from all uses in micro grid and centrally assigns the energy consumption of user loads according to the real-time electricity price information. The proposed scheduling strategy employs the adaptive dynamic programming and optimizes scheduling policy by processing online network training. Simulation results show that the proposed scheduling strategy is able to minimize the user electricity cost by learning from the scheduling process.

Key words: micro grid, distributed renewable energy resource, energy scheduling, adaptive dynamic programming

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