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

作     者：Al-Ammar, Essam A. Farzana, Kiran Waqar, Asad Aamir, Muhammad Saifullah Ul Haq, Azhar Zahid, Muhammad Batool, Memoona 

作者机构：King Saud Univ Coll Engn Dept Elect Engn Riyadh 11421 Saudi Arabia Bahria Univ Dept Elect Engn Islamabad 44000 Pakistan PAF IAST Dept Elect & Comp Engn Haripur 22620 Pakistan Univ Engn & Technol Dept Ind Engn Taxila 47050 Pakistan Natl Univ Sci & Technol Coll Elect & Mech Engn Rawalpindi 44000 Pakistan Riphah Int Univ Dept Elect Engn Lahore 55150 Pakistan 

出 版 物：《AIN SHAMS ENGINEERING JOURNAL》 (艾因夏姆斯工程杂志)

年 卷 期：2021年第12卷第1期

页      面：697-708页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 

主　　题：Distributed generation (DG) Newton Raphson Load flow (NRLF) analysis Optimal sizing and placement of DGs Line loss Voltage drop Artificial bee colony algorithm 

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://***/licenses/by/4.0/).