半月刊

ISSN 1000-1026

CN 32-1180/TP

+高级检索 English
基于不确定性最优潮流的配电网分布式发电消纳能力评估
作者:
作者单位:

1.河海大学能源与电气学院,江苏省南京市 211100;2.国网经济技术研究院有限公司,北京市 102209

摘要:

随着可再生分布式发电(RDG)在配电网中渗透率逐步提高,部分地区已出现配电网对RDG消纳能力不足的问题,客观地评估配电网对RDG的消纳能力成为当前配电系统规划和运行过程中的重要问题之一。首先,针对RDG出力不确定性特征,证明了配电网中任意节点注入功率不确定性波动对于节点电压分布、支路潮流等运行状态量影响的映射关系;其次,建立了当RDG注入功率不确定性用概率或仿射等不同描述形式时,配电网运行状态量的解析表达式;然后,提出了评估RDG消纳能力的不确定性最优潮流模型,并建立了RDG注入功率不确定性在不同描述形式下最优潮流模型的确定性等价转化方法;最后,通过实际系统验证了所提模型和方法的有效性。

关键词:

基金项目:

国家自然科学基金资助项目(51807051);中国博士后科学基金资助项目(2019M651671)。

通信作者:

作者简介:

朱俊澎(1990—),男,通信作者,博士,副教授,硕士生导师,主要研究方向:高比例新能源接入的电力系统运行与分析。E-mail:jzhiu@hhu.edu.cn
黄勇(1999—),男,硕士研究生,主要研究方向:主动配电网的运行优化。E-mail:yonghuanghhu@163.com
马良(1989—),男,博士,工程师,主要研究方向:智能配电网与微电网的规划与运行。E-mail:nick_m276@163.com


Assessment on Distributed Generation Accomodation Capability for Distribution Network Based on Uncertain Optimal Power Flow
Author:
Affiliation:

1.College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China;2.State Grid Economic and Technological Research Institute, Beijing 102209, China

Abstract:

With the gradual increase of the penetration of renewable distributed generation (RDG) in the distribution network, the problem of insufficient RDG accommodation capacity for the distribution network has emerged in some areas. Objectively assessing the RDG accommodation capacity for the distribution network has become one of the important issues in the current distribution system planning and operation. Firstly, this paper demonstrates the mapping relationship of the impact of the uncertainty fluctuation of the injected power at any node in the distribution network on the operation state quantities such as node voltage distribution and branch currents. Secondly, this paper establishes the analytical expressions of the operation state quantities of the distribution network in different description forms such as random and affine for the uncertainty of the injected power of RDG. Then, the uncertain optimal power flow (OPF) model for RDG capacity assessment is proposed, and the deterministic equivalence transformation method of the OPF model in different description forms of RDG injection power uncertainty is established. Finally, the effectiveness of the proposed model and method is verified by an actual system.

Keywords:

Foundation:
This work is supported by National Natural Science Foundation of China (No. 51807051) and Post-doctoral Science Foundation of China (No. 2019M651671).
引用本文
[1]朱俊澎,黄勇,马良,等.基于不确定性最优潮流的配电网分布式发电消纳能力评估[J].电力系统自动化,2022,46(14):46-54. DOI:10.7500/AEPS20211022002.
ZHU Junpeng, HUANG Yong, MA Liang, et al. Assessment on Distributed Generation Accomodation Capability for Distribution Network Based on Uncertain Optimal Power Flow[J]. Automation of Electric Power Systems, 2022, 46(14):46-54. DOI:10.7500/AEPS20211022002.
复制
支撑数据及附录
分享
历史
  • 收稿日期:2021-10-22
  • 最后修改日期:2022-01-21
  • 录用日期:2022-02-10
  • 在线发布日期: 2022-07-15
  • 出版日期: