Optimal placement of locally controlled voltage regulators in traditional distribution systems using the IMDE algorithm

Author:

Ahmadi Kamarposhti Mehrdad1ORCID,Shokouhandeh Hassan2,Kang Sun-Kyoung3,Colak Ilhami4,Barhoumi El Manaa5,Eguchi Kei6

Affiliation:

1. Islamic Azad University Department of Electrical Engineering, Jouybar Branch, , Jouybar, Iran

2. Semnan University Department of Electrical Engineering, , Semnan, Iran

3. Wonkwang University Department of Computer Software Engineering, , Chonbuk, Republic of Korea

4. Nisantasi University Department of Electrical and Electronics Engineering, Faculty of Engineering and Architectures, , Istanbul, Turkey

5. Dhofar University Department of Electrical and Computer Engineering, College of Engineering, , Salalah, Oman

6. Fukuoka Institute of Technology Department of Information Electronics, , Fukuoka 811-0295, Japan

Abstract

Abstract One of the main goals of the designers of the power systems is the reduction of extra systems costs. The main part of these costs is related to energy loss, and the methods for loss reduction significantly lead to a cost reduction. The voltage regulators (VRs) can be used along the distribution feeders and the improvement of the network voltage profile results in the loss reduction of the system. However, the important problem is the installation location of this equipment to have the most profitability with the lowest cost. In this paper, the optimal placement of the VRs along the distribution systems is performed using intersect mutation differential evolution algorithm. The method aims to reduce loss and the primary investment and maintenance of the VRs. To this aim, the studies are performed on two scenarios for two standard distribution systems with 33 and 69 buses. A genetic algorithm (GA) is also utilized for the VRs placement to validate the results. The results show that the VRs reduce the loss to about 15% of the maximum system load. Moreover, the improved differential evolution algorithm performs better than the GA and makes the objective function in the minimum value.

Publisher

Oxford University Press (OUP)

Subject

General Environmental Science,Architecture,Civil and Structural Engineering

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