Optimal Planning of Distributed Generation in Distribution Networks using the Differential Evolutionary Algorithm

• Type: Article in International Conference Proceedings Book
• Date: 2020

Authors

Norouzizad, A (Author) Other; Bahramara, S (Author) Other; Divian, A (Author) Other; Osorio, GJ (Author) Other; Shafie khah, M (Author) Other; Wang, F (Author) Other; Catalao, JPS (Author) FEUP

Conference proceedings International

Title: IEEE Industry Applications Society Annual Meeting, IAS 2020, Detroit, MI, USA, October 10-16, 2020

Pages: 1-7

2020 IEEE Industry Applications Society Annual Meeting, IAS 2020

10 October 2020 through 16 October 2020

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Other information

Authenticus ID: P-00T-GVG

DOI: 10.1109/ias44978.2020.9334753

Abstract (EN): The use of distributed generators (DGs) in the distribution networks has many economic and technical advantages. In order to achieve these advantages, DGs should have the proper size and be installed in suitable locations. In this work, a differential evolution algorithm is proposed to find the best location and capacity of DGs in the distribution network with the aim of getting to the minimum losses and optimal voltage profile. The important loads need continuity of power supply when the network is in islanding mode due to various events such as short circuit faults. The existence of at least one DG in these networks is necessary. In this paper, the proposed method is applied to the IEEE 33-bus distribution network in two connection modes. First, it is connected with the power grid and then it works in the islanding operation mode. The results show the effectiveness of the proposed algorithm.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7