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Energies 2017, 10(9), 1433; https://doi.org/10.3390/en10091433

Development of a Decision-Making Algorithm for the Optimum Size and Placement of Distributed Generation Units in Distribution Networks

Department of Electrical and Electronic Engineering Educators, ASPETE—School of Pedagogical and Technological Education, Ν. Ηeraklion, 141 21 Athens, Greece
Received: 23 July 2017 / Revised: 1 September 2017 / Accepted: 14 September 2017 / Published: 18 September 2017
(This article belongs to the Section Electrical Power and Energy System)
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Abstract

The paper presents a decision-making algorithm that has been developed for the optimum size and placement of distributed generation (DG) units in distribution networks. The algorithm that is very flexible to changes and modifications can define the optimal location for a DG unit (of any type) and can estimate the optimum DG size to be installed, based on the improvement of voltage profiles and the reduction of the network’s total real and reactive power losses. The proposed algorithm has been tested on the IEEE 33-bus radial distribution system. The obtained results are compared with those of earlier studies, proving that the decision-making algorithm is working well with an acceptable accuracy. The algorithm can assist engineers, electric utilities, and distribution network operators with more efficient integration of new DG units in the current distribution networks. View Full-Text
Keywords: decision making algorithm; distributed generation (DG); distribution networks; optimization; power losses; voltage profile decision making algorithm; distributed generation (DG); distribution networks; optimization; power losses; voltage profile
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Vita, V. Development of a Decision-Making Algorithm for the Optimum Size and Placement of Distributed Generation Units in Distribution Networks. Energies 2017, 10, 1433.

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