Optimal placement of distributed generation based on DISCO's additional benefit using self adaptive levy flight based black widow optimization

被引:5
作者
Venkata, Naga Lakshmi Gubbala [2 ]
Askani, Jaya Laxmi [3 ]
Veeramsetty, Venkataramana [1 ]
机构
[1] SR Engn Coll, Ctr Artificial Intelligence & Deep Learning, Elect & Elect Engn, Warangal, Telangana, India
[2] Osmania Univ, Fac Engn, Elect Engn, Hyderabad, Telangana, India
[3] JNTUH, Elect & Elect Engn, Hyderabad, Telangana, India
关键词
additional benefit; black widow optimization; distributed generation; distribution company; levy flight;
D O I
10.1515/ijeeps-2020-0280
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
Optimal placement of Distributed Generation (DG) is a crucial challenge for Distribution Companies (DISCO's) to run the distribution network in good operating conditions. Optimal positioning of DG units is an optimization issue where maximization of DISCO's additional benefit due to the installation of DG units in the network is considered to be an objective function. In this article, the self adaptive levy flight based black widow optimization algorithm is used as an optimization strategy to find the optimum position and size of the DG units. The proposed algorithm is implemented in the IEEE 15 and PG & E 69 bus management systems in the MATLAB environment. Based on the simulation performance, it has been found that with the correct location and size of the DG modules, the distribution network can be run with maximum DISCO's additional benefit.
引用
收藏
页码:401 / 410
页数:10
相关论文
共 26 条
[1]   A Hybrid Local Search-Genetic Algorithm for Simultaneous Placement of DG Units and Shunt Capacitors in Radial Distribution Systems [J].
Almabsout, Emad Ali ;
El-Sehiemy, Ragab A. ;
An, Osman Nuri Uc ;
Bayat, Oguz .
IEEE ACCESS, 2020, 8 :54465-54481
[2]   A Levy flight-based grey wolf optimizer combined with back-propagation algorithm for neural network training [J].
Amirsadri, Shima ;
Mousavirad, Seyed Jalaleddin ;
Ebrahimpour-Komleh, Hossein .
NEURAL COMPUTING & APPLICATIONS, 2018, 30 (12) :3707-3720
[3]   A Multi-Objective Framework to Improve Voltage Stability in A Distribution Network [J].
Aravinth, Arputha ;
Vatul, Vikas Anand ;
Narayanan, K. ;
Muthukumar, K. ;
Senjyu, Tomonobu .
INTERNATIONAL JOURNAL OF EMERGING ELECTRIC POWER SYSTEMS, 2019, 20 (01)
[4]   Power system static state estimation using JADE-adaptive differential evolution technique [J].
Basetti, Vedik ;
Chandel, Ashwani Kumar ;
Subramanyam, K. B. V. S. R. .
SOFT COMPUTING, 2018, 22 (21) :7157-7176
[5]   Optimal Sizing and Placement of Capacitor Banks and Distributed Generation in Distribution Systems Using Spring Search Algorithm [J].
Dehghani, Mohammad ;
Montazeri, Zeinab ;
Malik, O. P. .
INTERNATIONAL JOURNAL OF EMERGING ELECTRIC POWER SYSTEMS, 2020, 21 (01)
[6]  
Eberhart R., 2002, MHS95 6 INT S MICROM, DOI DOI 10.1109/MHS.1995.494215
[7]  
Goldber D. E., 1988, Machine Learning, V3, P95, DOI 10.1023/A:1022602019183
[8]   Black Widow Optimization Algorithm: A novel meta-heuristic approach for solving engineering optimization problems [J].
Hayyolalam, Vahideh ;
Kazem, Ali Asghar Pourhaji .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2020, 87
[9]  
IEX d, 2017, IEX MARK DAT
[10]   Optimal Sizing and Sitting of Distributed Generations in Power Distribution Networks Using Firefly Algorithm [J].
Jalili, Aref ;
Taheri, Bahman .
TECHNOLOGY AND ECONOMICS OF SMART GRIDS AND SUSTAINABLE ENERGY, 2020, 5 (01)