Introduction a Multi Objective Function in Distribution Networks for Optimal Placement and Sizing of Distributed Generation Units Using Imperialist Competitive Algorithm

Seyed Roohollah Sajadi; Sirous Mohammadi

In recent years, the role of distributed generation in power industry has been expanding and, in near future, this role will be exceedingly substantial and determining. In this paper, finding the optimal location and size of distributed generation resources is investigated. The reduction of distribut-ion network losses, voltage profile improvement and reduction of energy purchasing from the network are considered as the optimization objective. Since the intended objectives are not of the same type, in this thesis, using fuzzy systems, the objectives under investigation including voltage profile improvement and network losses reduction are modeled so that they are comparable and the problem can be solved in the form of a Multi Criteria objective function. In order to solve the above mentioned problem, imperialist competitive algorithm is utilized. The proposed methods are implemented on the IEEE 69-bus test system. The obtained results indicate that the proposed algorithm has the ability to find the optimal location and size of distributed generation resources, leading to the reduction of losses and improvement of voltage profile in the network

Select Volume / Issues:

• Volume 6 Issue 2, Mar. 2015

Year:

2015

Type of Publication:

Article

Keywords:

Multi Objective Function; Distribution Generation; Imperialist Competitive Algorithm

Journal:

IJECCE

Volume:

6

Number:

2

Pages:

180-185

Month:

March

ISSN:

2249-071X