中国电力 ›› 2018, Vol. 51 ›› Issue (10): 64-71.DOI: 10.11930/j.issn.1004-9649.201706154

• 电网 • 上一篇    下一篇

多时间尺度的直流配电网运行优化

易越1, 袁志昌1, 郑浩2, 史梓男3, 马唯婧3   

  1. 1. 清华大学 电机工程与应用电子技术系, 北京 100084;
    2. 国网安徽省电力有限公司, 安徽 合肥 230061;
    3. 国网经济技术研究院有限公司, 北京 102209
  • 收稿日期:2017-06-27 修回日期:2018-03-20 出版日期:2018-10-05 发布日期:2018-10-12
  • 作者简介:易越(1994-),女,硕士研究生,从事直流配电网相关研究工作,E-mail:yiyue0321@163.com;袁志昌(1980-),男,副教授,从事柔性交直流输电技术研究,E-mail:yuanzc@tsinghua.edu.cn;郑浩(1976-),男,高级工程师,从事智能电网技术研究,E-mail:zhengh1811@ah.sgcc.com.cn
  • 基金资助:
    国家电网公司科技项目(交直流混合配电网电压序列及关键技术研究,SGAH0000KJJS201600091)。

Operation Optimization of DC Distribution Network with Multi-time Scale

YI Yue1, YUAN Zhichang1, ZHENG Hao2, SHI Zinan3, MA Weijing3   

  1. 1. Department of Electrical Engineering, Tsinghua University, Beijing 100084, China;
    2. State Grid Anhui Electric Power Co. Ltd., Hefei 230061, China;
    3. State Grid Economic and Technological Research Institute Co. Ltd., Beijing 102209, China
  • Received:2017-06-27 Revised:2018-03-20 Online:2018-10-05 Published:2018-10-12
  • Supported by:
    This work is supported by the Science and Technology Project of SGCC (Research on Voltage Class Series and Key Technologies of AC-DC Hybrid Power Distribution Grid, No.SGAH0000KJJS201600091).

摘要: 为了实现直流配电网的安全可靠经济运行,建立了2种直流配电网的运行优化模型。首先论述了直流配电网运行优化的各种目标,针对上述目标提出了2种时间尺度不同的直流配电网运行优化模型:一种是以功率损耗和电压偏差为目标函数的实时潮流优化模型;另一种是考虑源网荷出力特性的日前优化模型,以日运行成本最低以及负荷方差最小为目标进行削峰填谷优化。给出了2种模型的求解方法并用9节点的直流配电网对上述2种模型进行了仿真计算。仿真结果验证了模型改善直流潮流分布以及削峰填谷的效果。

关键词: 直流配电网, 多目标优化, 多时间尺度, 潮流优化, 削峰填谷

Abstract: In order to realize the safe and reliable operation of DC distribution network, two operation optimization models of DC distribution network are established in this paper. Firstly, the objective functions of DC distribution network operation optimization are discussed. Aimed at the above objective functions, two DC distribution network operation optimization models are proposed:one is the real-time power flow optimization model with power loss and voltage deviation as the objective functions; the other is the day-ahead optimization model considering the source network load characteristics, with the daily operating costs and load variance as the objective functions of load shifting optimization. The solutions of the two models are given, and the two models are simulated in a 9-node DC distribution network. The simulation results verify the effectiveness of the models in improving the DC power flow distribution and load shifting.

Key words: DC distribution network, multi-objective optimization, multi-time scale, power flow optimization, load shifting

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