储能科学与技术 ›› 2020, Vol. 9 ›› Issue (3): 735-742.doi: 10.19799/j.cnki.2095-4239.2020.0048

• 未来科学城储能技术专刊 • 上一篇    下一篇

基于价值流分析的微网储能系统建模与控制方法

李晓恩1,2, 卢婷1,3, 赵璐璐1, 周友1()   

  1. 1. 北京低碳清洁能源研究院,北京 102211
    2. 清华大学电机工程与应用电子技术系,北京 100084
    3. 北京交通大学电气工程学院,北京 100044
  • 收稿日期:2020-01-29 修回日期:2020-02-26 出版日期:2020-05-05 发布日期:2020-05-11
  • 通讯作者: 周友 E-mail:you.zhou.c@chnenergy.com.cn
  • 作者简介:李晓恩(1989—),男,博士,从事能源系统建模与优化控制研究,E-mail:xiaoen.li@chnenergy.com.cn
  • 基金资助:
    国家重点研发计划项目(2018YFA0702200)

Modeling and control strategy for energy storage system of micro-grid based on value stream analysis method

LI Xiaoen1,2, LU Ting1,3, ZHAO Lulu1, ZHOU You1()   

  1. 1. National Institute of Clean-and-Low-Carbon Energy, Beijing 102211, China
    2. Department of electrical engineering of Tsinghua University, Beijing 100084, China
    3. School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
  • Received:2020-01-29 Revised:2020-02-26 Online:2020-05-05 Published:2020-05-11
  • Contact: You ZHOU E-mail:you.zhou.c@chnenergy.com.cn

摘要:

含可再生能源发电的微网系统中源、网、荷、储的优化控制对微网系统的运行经济性具有重要意义。为提升微网系统运行经济性,利用流程模拟软件Modelica开发了基于价值流分析的微网模型库EnergySystem。针对储能系统双向流动特点,在传统流变量、势变量基础上对单价变量的计算做了特别处理。通过园区微网系统储能系统充放电策略分析案例,验证了EnergySystem模型库对微网系统优化控制的指导作用。结果表明,合理的储能系统控制策略需要充分考虑分时电价、负荷需求、光伏发电特性、储能系统参数等众多边界条件。相较于储能供应商给出的策略,基于价值流分析的充放电策略可提升峰谷套利约1.8倍,减少弃光量约50%。

关键词: 储能系统, 微网, Modelica, 优化控制, 动态规划

Abstract:

Coordinated control among the energy sources, girds, loads, and storages is vital for the economic operation of a microgrid system, especially when the microgrid system includes energy storage systems. To improve the operation economy of such systems, a model library based on value stream analysis was developed on process simulation software. After calculating the flow and potential variables, the unit price variable was calculated according to the bidirectional flow characteristics of the energy storage system. To verify the reliability of the EnergySystem library in optimizing the control of a microgrid system, the control strategy of its energy storage system was analyzed. The result showed that a reasonable control strategy of the energy storage system must fully consider many boundary conditions, such as the time-of-use electric price, load demand, photovoltaic power generation, and energy-storage system parameters. After implementing a control strategy based on the value stream analysis, the peakvalley arbitrage was 1.8 times higher and the solar power loss was 50% lower than after implementing the strategy of the energy storage provider.

Key words: energy storage system, micro-grid, modelica, optimization control strategy, dynamic programming

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