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考虑时序特性的主动配电网静态安全分析

符杨 廖剑波 李振坤 张静炜 唐昕

电力系统自动化2016,Vol.40Issue(24):64-70,7.
电力系统自动化2016,Vol.40Issue(24):64-70,7.DOI:10.7500/AEPS20160122009

考虑时序特性的主动配电网静态安全分析

Static Security Analysis of Active Distribution Network Considering Time Sequence Characteristics

符杨 1廖剑波 1李振坤 1张静炜 2唐昕2

作者信息

  • 1. 上海电力学院电气工程学院,上海市 200090
  • 2. 国网浙江省电力公司嘉兴供电公司,浙江省嘉兴市 314000
  • 折叠

摘要

Abstract

Active distribution network ADN is an effective technical solution to realize efficient utilization of intermittent green energy and optimized operation of network.Static security analysis is the important work in the dispatching process to improve the operational security of system.Considering distributed generators energy storage systems and shiftable loads the static security analysis method of N-1 branch fault in ADN is proposed which is based on the time sequence characteristics of ADN.Firstly the time sequence models of elements and security indices applicable to static security analysis of ADN are established.Then based on two aspects of time sequence i.e.the fault occurrence period and network operational status during fault time the ADN static security analysis method is proposed.This method takes island power balance and network power flow constraints as criteria to get the value of load shedding considering the ADN s capabilities of island operation and active management.The security of different periods different branches and system is evaluated quantitatively to find the weak link of system.Finally by basic analysis results and multi-scenario comparison the correctness and effectiveness of the proposed security indices and static analysis method are verified.

关键词

主动配电网/静态安全分析/时序特性/可平移负荷/安全评估指标/N-1 支路故障

Key words

active distribution network ADN/static security analysis/time sequence characteristics/shiftable load/security assessment index/N-1 branch fault

引用本文复制引用

符杨,廖剑波,李振坤,张静炜,唐昕..考虑时序特性的主动配电网静态安全分析[J].电力系统自动化,2016,40(24):64-70,7.

基金项目

国家自然科学基金资助项目(51407113) (51407113)

上海绿色能源并网工程技术研究中心项目(13DZ2251900).This work is supported by National Natural Science Foundation of China No.51407113 and Shanghai Engineering Research Center of Green Energy Grid-connected Technology No.13DZ2251900 (13DZ2251900)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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