Optimal Planning of Distributed Generation in Distribution Networks using the Differential Evolutionary Algorithm

被引：1

作者：

Norouzizad, Ali ^{[1
]}

Bahramara, Salah ^{[1
]}

Divian, Abbas ^{[2
]}

Osorio, Gerardo J. ^{[3
]}

Shafie-khah, Miadreza ^{[4
]}

Wang, Fei ^{[5
]}

Catalao, Joao P. S. ^{[6
,7
]}

机构：

[1] Islamic Azad Univ, Sanandaj Branch, Dept Elect Engn, Sanandaj, Iran

[2] Iran Univ Sci & Technol, Dept Elect Engn, Tehran, Iran

[3] Univ Beira Interior, C MAST, Covilha, Portugal

[4] Univ Vaasa, Sch Technol & Innovat, Vaasa 65200, Finland

[5] North China Elect Power Univ, Dept Elect Engn, Baoding 071003, Peoples R China

[6] Univ Porto, Fac Engn, Porto, Portugal

[7] INESC TEC, Porto, Portugal

来源：

2020 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING | 2020年

关键词：

Differential evolution algorithm; Distributed generation; Islanding; Power loss; Voltage profile; DISTRIBUTION-SYSTEM; HOUSEHOLDS; PLACEMENT; WIND; DGS;

D O I：

10.1109/IAS44978.2020.9334753

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The use of distributed generators (DGs) in the distribution networks has many economic and technical advantages. In order to achieve these advantages, DGs should have the proper size and be installed in suitable locations. In this work, a differential evolution algorithm is proposed to find the best location and capacity of DGs in the distribution network with the aim of getting to the minimum losses and optimal voltage profile. The important loads need continuity of power supply when the network is in islanding mode due to various events such as short circuit faults. The existence of at least one DG in these networks is necessary. In this paper, the proposed method is applied to the IEEE 33-bus distribution network in two connection modes. First, it is connected with the power grid and then it works in the islanding operation mode. The results show the effectiveness of the proposed algorithm.

引用

页数：7

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