Optimal placement of DG in an unbalanced network with two separate objectives using a new algorithm

Subject Areas : Renewable energy

mojtaba jamiati ^{1 *}

1 - Assistant professor Department of Mechanical Engineering, Naragh Branch, Islamic Azad University, Naragh, Iran

Received: 2021-03-11 Accepted : 2021-04-20 Published : 2021-07-09

Keywords: distributed generation, Optimal distribution, optimizer, group search, unbalanced distribution network,

Abstract :

In this paper, distributed generation (DG) resources are localized in an unbalanced network with two different objective functions using a new algorithm. For this purpose, cost and parametric objective functions will be formulated for this problem. A new technique has been proposed to solve the problem of unbalanced load distribution. Group Search Engine Optimization (GSO) algorithm is one of the new particle intelligence techniques that in this paper, this algorithm has been improved and the results have been analyzed. The simulations will be performed on two real sample networks in northwestern Iran and the IEEE standard. Each target function will be tested on one of the networks. For each network, two placement scenarios are proposed: DG resource counting and determination of the number of DG units. In the case study process, the results of the proposed improved GSO algorithm are compared with the results of simple GSO algorithms and particle swarm optimization (PSO).