Developing a Hybrid Optimization Algorithm for Optimal Allocation of Renewable DGs in Distribution Network

被引：21

作者：

Awad, Ayman ^{[1
]}

Abdel-Mawgoud, Hussein ^{[1
]}

Kamel, Salah ^{[1
]}

Ibrahim, Abdalla A. ^{[1
]}

Jurado, Francisco ^{[2
]}

机构：

[1] Aswan Univ, Fac Engn, Dept Elect Engn, Aswan 81542, Egypt

[2] Univ Jaen, Dept Elect Engn, Eps Linares 23700, Spain

来源：

CLEAN TECHNOLOGIES | 2021年 / 3卷 / 02期

关键词：

power losses; power system optimization; PV curves; DG; TSA; SCA; ENERGY; PLACEMENT; SOLAR;

D O I：

10.3390/cleantechnol3020023

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Distributed generation (DG) is becoming a prominent key spot for research in recent years because it can be utilized in emergency/reserve plans for power systems and power quality improvement issues, besides its drastic impact on the environment as a greenhouse gas (GHG) reducer. For maximizing the benefits from such technology, it is crucial to identify the best size and location for DG that achieves the required goal of installing it. This paper presents an investigation of the optimized allocation of DG in different modes using a proposed hybrid technique, the tunicate swarm algorithm/sine-cosine algorithm (TSA/SCA). This investigation is performed on an IEEE-69 Radial Distribution System (RDS), where the impact of such allocation on the system is evaluated by NEPLAN software.

引用

页码：409 / 423

页数：15

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