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双馈感应发电机参与调频的概率最优潮流模型

李生虎 张维 吴正阳 黄杰杰

电力系统自动化2017,Vol.41Issue(23):46-52,7.
电力系统自动化2017,Vol.41Issue(23):46-52,7.DOI:10.7500/AEPS20161206007

双馈感应发电机参与调频的概率最优潮流模型

Probabilistic Optimal Power Flow Model Considering Participation of Doubly-fed Induction Generators in Frequency Regulation

李生虎 1张维 1吴正阳 1黄杰杰1

作者信息

  • 1. 合肥工业大学电气与自动化工程学院,安徽省合肥市 230009
  • 折叠

摘要

Abstract

With an increase in wind power integration,wind turbine generators have partly replaced synchronous generators (SGs).So they are required to participate in frequency regulation to maintain system stability.The existing economic dispatch often ignores the wind power when considering frequency,or uses the bus power to replace specific wind turbine generators.A probabilistic optimal power flow (OPF) model with doubly-fed induction generators (DFIGs) participating in the primary frequency regulation is newly proposed.The frequency deviation due to wind speed forecast error is introduced to the optimization object.The generation cost and frequency deviation are coordinated by choosing the weighting coefficients.The inner constraints on the DFIGs are included,whose parameters are modified in the optimization model.Thus the DFIGs and the SGs undertake the primary frequency regulation together.The numerical analysis shows the effect of DFIGs participating in frequency regulation,the impact of the weighting coefficients on the optimization results,and the probabilistic characteristic of the generation cost and the frequency deviation,which validates the effectiveness of the proposed model.

关键词

概率最优潮流/双馈感应发电机/一次调频/风速预测误差

Key words

probabilistic optimal power flow (OPF)/doubly-fed induction generator (DFIG)/primary frequency regulation/wind speed forecast error

引用本文复制引用

李生虎,张维,吴正阳,黄杰杰..双馈感应发电机参与调频的概率最优潮流模型[J].电力系统自动化,2017,41(23):46-52,7.

基金项目

国家自然科学基金资助项目(51637004).This work is supported by National Natural Science Foundation of China(No.51637004). (51637004)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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