Optimal allocation and sizing of renewable distributed generation using ant lion optimization algorithm

被引：76
|
作者：
Ali, E. S. [1 ,2 ]
Abd Elazim, S. M. [1 ]
Abdelaziz, A. Y. [3 ]
机构：
[1] Zagazig Univ, Elect Power & Machine Dept, Fac Engn, Zagazig, Egypt
[2] Jazan Univ, Dept Elect, Fac Engn, Jazan, Saudi Arabia
[3] Ain Shams Univ, Elect Power & Machine Dept, Fac Engn, Cairo, Egypt
来源：
ELECTRICAL ENGINEERING | 2018年 / 100卷 / 01期
关键词：
Distributed generation; Renewable energy; Loss reduction; Voltage profiles; ALOA; LSFs; PARTICLE SWARM OPTIMIZATION; DISTRIBUTION-SYSTEMS; GENETIC ALGORITHM; MULTIOBJECTIVE OPTIMIZATION; OPTIMAL PLACEMENT; CAPACITORS; SELECTION; LOCATION; LARVAE;
D O I：
10.1007/s00202-016-0477-z
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：
Renewable sources can provide a clean and smart solution to the increased demands. Thus, photovoltaic and wind turbine are considered here as sources of distributed generation (DG). Allocation and sizing of DG have greatly affected the system losses. In this paper, ant lion optimization algorithm (ALOA) is proposed for optimal allocation and sizing of DG-based renewable sources for radial distribution system. First, the most candidate buses for installing DG are suggested using loss sensitivity factors. Then the proposed ALOA is employed to deduce the locations of DG and their sizing from the elected buses. The proposed algorithm is tested on 69 bus radial distribution system. The obtained results via the proposed algorithm are compared with others to highlight its benefits in reducing total power losses and consequently maximizing the net saving. Moreover, the results are introduced to verify the superiority of the proposed algorithm to enhance the voltage profiles for various loading conditions.
引用
收藏
页码：99 / 109
页数：11
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