电器与能效管理技术 ›› 2020, Vol. 586 ›› Issue (1): 78-85.doi: 10.16628/j.cnki.2095-8188.2020.01.013

• 配网自动化 • 上一篇    下一篇

主动配电网源-网-荷双层两阶段优化调度

李继宇1, 江修波1, 李功新1, 2, 范映3   

  1. 1.福州大学 电气工程与自动化学院, 福建 福州 350108;
    2.国网福建省电力有限公司, 福建 福州 350003;
    3.国网福建省电力有限公司检修分公司, 福建 福州 350013
  • 收稿日期:2019-10-13 出版日期:2020-01-15 发布日期:2020-03-26
  • 作者简介:李继宇(1992—),男,硕士研究生,研究方向为电力系统规划与调度。江修波(1960—),男,教授,研究方向为电力系统运行及管理、电力设备绝缘诊断。李功新(1964—),男,博士,教授级高级工程师,主要从事电力系统自动化运行及管理研究。

Two-Stage Optimal Dispatching of Active Distribution Network with Two Layers of Source-Network-Load

LI Jiyu1, JIANG Xiubo1, LI Gongxin1, 2, FAN Ying3   

  1. 1.College of Electrical Engineering and Automation,Fuzhou University, Fuzhou 350108, China;
    2.Fujian Electric Power Company Limited,Sate Grid, Fuzhou 350003, China;
    3.Maintenance Branch Company of Fujian Electric Power Co.,Ltd., State Grid, Fuzhou 350013, China
  • Received:2019-10-13 Online:2020-01-15 Published:2020-03-26

摘要: 为实现主动配电网(ADN)中风、光分布式发电(DG)的充分消纳,促进储能装置及柔性负荷等可控资源的高效利用,提出基于源-网-荷的双层两阶段优化调度。日前双层优化调度阶段上层为有功优化调度,下层为将DG作为无功输出源的无功优化调度,采用二进制混沌蝙蝠算法进行求解;实时调度阶段采用改进数据流在线分割的超短期预测,对日前调度方案进行实时修正。最后,采用修改后的IEEE-33节点系统作为算例,验证了调度方案的有效性。

关键词: 主动配电网, 双层优化, 实时修正, 两阶段调度, 需求侧管理

Abstract: In order to fully absorb apoplexy and optical DG in active distribution network (ADN) and promote the efficient utilization of controllable resources such as energy storage devices and flexible loads,a two-layer two-stage optimal dispatch based on source-network-load was proposed.In the previous two-tier optimal dispatching stage,the upper level is active power optimal dispatching,and the lower level is reactive power optimal dispatching with DG as reactive power output source,which is solved by binary chaotic bat algorithm.In the real-time dispatching stage,ultra-short-term prediction based on improved data stream on-line segmentation is used to revise the previous dispatching scheme in real time.Finally,a modified IEEE-33 bus system is used as an example to verify the effectiveness of the scheduling scheme.

Key words: active distribution network, double layer optimization, real-time correction, two-stage scheduling, demand side management

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