电器与能效管理技术 ›› 2021, Vol. 0 ›› Issue (5): 86-92.doi: 10.16628/j.cnki.2095-8188.2021.05.016

• 分布式电源及并网技术 • 上一篇    

考虑光伏发电不确定性的源-网-荷-储协调调度方法

张怀宇1, 徐超然2, 黄志龙1, 陆建宇1, 李亚平3, 侯勇1   

  1. 1.国家电网有限公司 华东分部, 上海 200120
    2.上海交通大学, 上海 200240
    3.中国电力科学研究院有限公司 南京分院, 江苏 南京 210003
  • 收稿日期:2021-02-19 出版日期:2021-05-30 发布日期:2021-06-15
  • 作者简介:张怀宇(1963—),男,高级工程师,主要从事电网生产运行管理。|徐超然(1998—),男,硕士研究生,研究方向为配电网运行与优化。|黄志龙(1974—),男,教授级高级工程师,主要从事电网运行分析和控制技术管理。
  • 基金资助:
    * 华东电网科技项目(SGHD0000DKJS2000119)

Coordinated Dispatch Method of Generation-Grid-Load-Storage Considering Uncertainty of PV Generation

ZHANG Huaiyu1, XU Chaoran2, HUANG Zhilong1, LU Jianyu1, LI Yaping3, HOU Yong1   

  1. 1. East China Branch of State Grid Corporation, Shanghai 200120,China
    2. Shanghai Jiaotong University, Shanghai 200240, China
    3. Nanjing Branch of China Electric Power Research Institute, Nanjing 210003, China
  • Received:2021-02-19 Online:2021-05-30 Published:2021-06-15

摘要:

随着分布式电源和储能系统的大规模接入,配电网运行需要解决不同设备间的协调控制问题。考虑源-网-荷-储不同设备的差异化动作时间尺度,提出考虑光伏发电不确定性的源-网-荷-储协调调度方法。首先,以能量损耗和电压偏移最小为目标,考虑源-网-荷-储设备间的协调控制,建立配电网有功-无功协调调度模型。然后,考虑源-荷不确定性,建立基于随机优化的配电网优化调度问题;采用蒙特卡洛模拟与快速前向选择法获得典型场景,将随机优化问题转换为确定性问题进行求解。最后,采用IEEE 33节点系统进行仿真分析,通过对比验证了所提方法的有效性。

关键词: 源-网-荷-储, 光伏发电, 储能系统, 随机优化, 多时间尺度协调控制

Abstract:

With the large-scale integration of distributed generation and energy storage system,the problem of coordinated control between different equipment needs to be solved in the distribution network.In this paper,a coordinated dispatch method of generation-grid-load-storage is proposed considering the uncertainty of PV generation and the differential action time scale of different equipment.Firstly,aiming at minimizing power loss and voltage offset,the active-reactive coordinated dispatch model of distributed network is established by considering the coordinated control of generation-grid-load-storage equipment.Secondly,considering the uncertainty involved in distributed generation and load demand,the optimal dispatch problem based on stochastic optimization is established.Typical scenarios are obtained by Monte Carlo simulation and fast forward reduction,and the stochastic optimization problem is transformed into a deterministic optimization problem.Finally,the proposed method is tested on the IEEE 33-bus system,and the effectiveness of the method is verified by comparison.

Key words: generation-grid-load-storage, photovoltaic generation, energy storage system, stochastic optimization, multi-time scale coordinated control

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