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安全约束最优潮流的实用模型及故障态约束缩减方法

郭瑞鹏 边麟龙 宋少群 余秀月 汤伟 杨铖

电力系统自动化2018,Vol.42Issue(13):161-168,8.
电力系统自动化2018,Vol.42Issue(13):161-168,8.DOI:10.7500/AEPS20170802013

安全约束最优潮流的实用模型及故障态约束缩减方法

Practical Model of Security Constrained Optimal Power Flow and Reduction Methods for Contingency Constraints

郭瑞鹏 1边麟龙 1宋少群 2余秀月 2汤伟 3杨铖3

作者信息

  • 1. 浙江大学电气工程学院,浙江省杭州市 310027
  • 2. 国网福建电力调度控制中心,福建省福州市 350003
  • 3. 国网安徽电力调度控制中心,安徽省合肥市 230022
  • 折叠

摘要

Abstract

Security constrained optimal power flow(SCOPF)for large-scale power systems is a complex and difficult problem with its highly demanding computational requirements.A practical SCOPF model is presented based on power flow transfer relations and related constraint reduction methods are proposed.According to the power flow transfer relations established by contingency analysis,the active power flows on branches in post-contingency state can be described as linear functions of those in pre-contingency state.Therefore,the active power flow constraints of the branches in post-contingency state are described by the reformed linear inequality constraints of the active power flows of the branches in pre-contingency state.Furthermore, by grouping the parallel lines and parallel transformers,the number of monitored branches is reduced by using the distribution relations of active power flows in grouped branches.Finally,since the short-term capacity of power equipment is usually much greater than the long-term capacity,the power flow constraints of the branches in post-contingency state are accordingly screened to reduce the scale of SCOPF problem as much as possible.Simulations on the IEEE 14-bus test system and the East China power grid verify the correctness and effectiveness of the proposed SCOPF model and the constraint reduction methods.

关键词

预想故障/潮流转移关系/安全约束最优潮流/原对偶内点法/约束缩减方法

Key words

contingency/power transfer relations/security constrained optimal power flow/primal-dual interior point method/constraints reduction method

引用本文复制引用

郭瑞鹏,边麟龙,宋少群,余秀月,汤伟,杨铖..安全约束最优潮流的实用模型及故障态约束缩减方法[J].电力系统自动化,2018,42(13):161-168,8.

基金项目

国家重点研发计划资助项目(2017YFB0902800). This work is supported by National Key R&D Program of China(No.2017YFB0902800). (2017YFB0902800)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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