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考虑多风电场相关性的电网动态经济调度二阶段带补偿算法

谢敏 熊靖 吉祥 柯少佳 刘明波

电力系统自动化2017,Vol.41Issue(7):44-53,10.
电力系统自动化2017,Vol.41Issue(7):44-53,10.

考虑多风电场相关性的电网动态经济调度二阶段带补偿算法

Two-stage Compensation Algorithm for Dynamic Economic Dispatch of Power Grid Considering Correlation of Multiple Wind Farms

谢敏 1熊靖 2吉祥 1柯少佳 1刘明波1

作者信息

  • 1. 华南理工大学电力学院,广东省广州市 510640
  • 2. 国网湖南省电力公司益阳供电分公司,湖南省益阳市 413002
  • 折叠

摘要

Abstract

The large-scale grid-connection of multiple wind farms has brought a great challenge to the economic dispatch of power grid.This paper focuses on the dynamic economic dispatch of power grid with multiple wind farms.First,the Copula theory is introduced to develop the model of joint distribution for the output power of multiple wind farms.Secondly,a stochastic optimization model of the 24 hour dynamic economic dispatch is established.In order to deal with the stochastic characteristics of wind output power,a two-stage compensation algorithm is applied and the original model is transformed into a two-stage model.The first-stage model is of constraints about conventional variables,and the expected compensation value is added to the objective function.The second-stage model is constrained by random variables,and its objective function is to minimize the expected compensation value.The optimal solution is obtained by the alternating iteration of the two models.The proposed model is finally verified by the IEEE 118-bus system and an actual provincial power grid.

关键词

风力发电并网/动态经济调度/Copula理论/二阶段带补偿算法/随机优化

Key words

integration of wind power generation/dynamic economic dispatch/Copula theory/two-stage compensation algorithm/stochastic optimization

引用本文复制引用

谢敏,熊靖,吉祥,柯少佳,刘明波..考虑多风电场相关性的电网动态经济调度二阶段带补偿算法[J].电力系统自动化,2017,41(7):44-53,10.

基金项目

国家重点基础研究发展计划(973计划)资助项目(2013CB228205) (973计划)

国家自然科学基金青年基金资助项目(50907023) (50907023)

This work is supported by National Basic Research Program of China (973 Program) (No.2013CB228205) and National Natural Science Foundation of China (No.50907023). (973 Program)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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