ABC algorithm based optimal sizing and placement of DGs in distribution networks considering multiple objectives

被引:42
|
作者
Al-Ammar, Essam A. [1 ]
Farzana, Kiran [2 ]
Waqar, Asad [2 ]
Aamir, Muhammad [3 ]
Saifullah [4 ]
Ul Haq, Azhar [5 ]
Zahid, Muhammad [6 ]
Batool, Memoona [2 ]
机构
[1] King Saud Univ, Coll Engn, Dept Elect Engn, Riyadh 11421, Saudi Arabia
[2] Bahria Univ, Dept Elect Engn, Islamabad 44000, Pakistan
[3] PAF IAST, Dept Elect & Comp Engn, Haripur 22620, Pakistan
[4] Univ Engn & Technol, Dept Ind Engn, Taxila 47050, Pakistan
[5] Natl Univ Sci & Technol, Coll Elect & Mech Engn, Rawalpindi 44000, Pakistan
[6] Riphah Int Univ, Dept Elect Engn, Lahore 55150, Pakistan
关键词
Distributed generation (DG); Newton Raphson Load flow (NRLF) analysis; Optimal sizing and placement of DGs; Line loss; Voltage drop; Artificial bee colony algorithm;
D O I
10.1016/j.asej.2020.05.002
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In recent years, due to increase in load demand, distribution networks have got substantial attention to get optimized. It is significant to optimally place the distributed generators (DGs) in distribution networks to minimize power losses and voltage drops. However, the DGs incur certain investment and operational costs, and their placement is only viable if these costs overcome energy losses. Therefore, current paper investigates the optimal sizing and placement of DGs in distribution networks with a novel concept to simultaneously minimize total energy cost along with total power loss and average voltage drop. Artificial bee colony (ABC) algorithm is proposed to solve the considered multi-objective problem. The performance of the proposed ABC algorithm is tested with standard algorithms. Newton Raphson load flow (NRLF) analysis is conducted on IEEE 33 and 69-bus radial networks and on CIGRE medium voltage (MV) benchmark grid. Two test cases have been formed and investigated. The results prove that proposed ABC algorithm mostly outperforms other algorithms. (C) 2020 The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Ain Shams University. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页码:697 / 708
页数:12
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