Multi-Objective Optimal Placement of Distributed Generators by Modified BAT Algorithm
G. Balakrishna1, P. Manikanta2, M.L. Ravi Chandra3

1Dr.G. Balakrishna*, Dept. of Elec. & Electronics Engg., Srinivasa Ramanujan Institute of Technology, Ananthapuramu, India.
2P. Manikanta, Dept. of Elec. & Electronics Engg., Srinivasa Ramanujan Institute of Technology, Ananthapuramu, India.
3Dr. M. L. Ravi Chandra, Department of Electronics & Comm. Engg., Srinivasa Ramanujan Institute of Technology, Ananthapuramu, India.
Manuscript received on April 20, 2020. | Revised Manuscript received on April 30, 2020. | Manuscript published on May 10, 2020. | PP: 86-91 | Volume-9 Issue-7, May 2020. | Retrieval Number: F4017049620/2020©BEIESP | DOI: 10.35940/ijitee.F4017.059720
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: Day by day the need for electrical power is increasing due to the continuous growth and development in the social and economical status of the society. By and large in conventional electrical power system network, power flows from generating stations through transmission and distribution system to the end user. The demand for electrical power at the distribution systems is also increasing continuously. In order to meet the increase in the demand for the electrical power, it is required to increase the existing capacities of the generation and transmission & distribution system that involves lot of money and is a time consuming process. The best solution for this problem of increase in load demand is perfectly met with electric power generating units of smaller capacity which are going to be installed locally in the distribution system and are termed as “Distributed Generators (DGs)”. DGs not only supplies electrical power that meets the increase in load demand but also reduces the losses, improves the voltage profile and reliability of the system. To get maximum of these benefits, DGs are to be installed at its best optimal locations and are to be operated at its optimal generating capacities. In this work an algorithm based on MBAT is proposed to find the optimal locations and sizes of the DG units by considering the minimization of multiple objective functions like minimization of real power loss, cost function and total voltage deviation. The proposed algorithm is tested on IEEE-33 radial distribution systems and results are presented. 
Keywords: Distributed Generators, Multi objective optimal planning, Modified BAT algorithm.
Scope of the Article: Parallel and Distributed Algorithms