基于潜力度的分布式电源优化配置

TM715; 利用传统的灵敏度分析进行分布式电源（ DG）优化配置，易造成选点布局不合理及选点失准问题。首先在二阶灵敏度模型的基础上，得到目标函数与DG接入容量的非线性关系。然后提出了一种全新的DG选点方式，用潜力度指标替代传统的一阶灵敏度来指导接入位置的选取。最后采用自适应灾变遗传算法对IEEE15节点系统进行优化计算，比较了各配置方案的优化结果。算例分析表明文章的选点方式能更有效地改善网损、电压综合指标。...

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Published in电测与仪表 Vol. 53; no. 11; pp. 8 - 12 38
Main Author 殷杰;向铁元;杨瑶
Format Journal Article
LanguageChinese
Published 武汉大学电气工程学院,武汉,430072 2016
Subjects
分布式电源;灵敏度分析;潜力度;自适应灾变遗传算法
灵敏度分析
distributed generation
potentiality
自适应灾变遗传算法
sensitivity analysis
分布式电源
self-adaptive catastrophic genetic algorithms
潜力度
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Abstract TM715; 利用传统的灵敏度分析进行分布式电源（ DG）优化配置，易造成选点布局不合理及选点失准问题。首先在二阶灵敏度模型的基础上，得到目标函数与DG接入容量的非线性关系。然后提出了一种全新的DG选点方式，用潜力度指标替代传统的一阶灵敏度来指导接入位置的选取。最后采用自适应灾变遗传算法对IEEE15节点系统进行优化计算，比较了各配置方案的优化结果。算例分析表明文章的选点方式能更有效地改善网损、电压综合指标。
AbstractList TM715; 利用传统的灵敏度分析进行分布式电源（ DG）优化配置，易造成选点布局不合理及选点失准问题。首先在二阶灵敏度模型的基础上，得到目标函数与DG接入容量的非线性关系。然后提出了一种全新的DG选点方式，用潜力度指标替代传统的一阶灵敏度来指导接入位置的选取。最后采用自适应灾变遗传算法对IEEE15节点系统进行优化计算，比较了各配置方案的优化结果。算例分析表明文章的选点方式能更有效地改善网损、电压综合指标。
利用传统的灵敏度分析进行分布式电源(DG)优化配置,易造成选点布局不合理及选点失准问题。首先在二阶灵敏度模型的基础上,得到目标函数与DG接入容量的非线性关系。然后提出了一种全新的DG选点方式,用潜力度指标替代传统的一阶灵敏度来指导接入位置的选取。最后采用自适应灾变遗传算法对IEEE15节点系统进行优化计算,比较了各配置方案的优化结果。算例分析表明文章的选点方式能更有效地改善网损、电压综合指标。
Abstract_FL Optimal configuration of DG based on traditional sensitivity analysis may lead to improper location layout and inaccurate location selection .Through setting up a second-order sensitivity model , the nonlinear relationship be-tween objective function and access capacity of DG is presented .Instead of traditional first-order sensitivity , a new po-tentiality index is used to guide DG location selection .Through applying self-adaptive catastrophic genetic algorithms into the IEEE15-bus system as an example , the optimization results of all configurations are compared .The example results demonstrate the effectiveness of the proposed method on improving power loss and voltage quality .
Author 殷杰;向铁元;杨瑶
AuthorAffiliation 武汉大学电气工程学院
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Yang Yao
Xiang Tieyuan
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DocumentTitle_FL Optimal configuration of distributed generation based on potentiality
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Issue 11
Keywords 灵敏度分析
distributed generation
potentiality
自适应灾变遗传算法
sensitivity analysis
分布式电源
self-adaptive catastrophic genetic algorithms
潜力度
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Yin Jie;Xiang Tieyuan;Yang Yao;School of Electrical Engineering,Wuhan University
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SubjectTerms 分布式电源;灵敏度分析;潜力度;自适应灾变遗传算法
Title 基于潜力度的分布式电源优化配置
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