Distributed generation’s integration planning involving growth load models by means of genetic algorithm

• Autorzy: Rahman Y. A. , Manjang S. , Yusran A. , Ilham A.

Identyfikatory

DOI

10.24425/123671

• Języki publikacji: EN

Abstrakty

EN

The growth in the system load accompanied by an increase of power loss in the distribution system. Distributed generation (DG) is an important identity in the electric power sector that substantially overcomes power loss and voltage drop problems when it is coordinated with a location and size properly. In this study, the DG integration into the network is optimally distributed by considering the load conditions in different load models used to surmount the impact of load growth. There are five load models tested namely constant, residential, industrial, commercial and mixed loads. The growth of the electrical load is modeled for the base year up to the fifth year as a short-term plan. Minimization of system power loss is taken as the main objective function considering voltage limits. Determination of the location and size of DG is optimally done by using the breeder genetic algorithm (BGA). The proposed studies were applied to the IEEE 30 radial distribution system with single and multiple placement DG scenarios. The results indicated that installing an optimal location and size DG could have a strong potential to reduce power loss and to secure future energy demand of load models. Also, commercial load requires the largest DG active injection power to maintain the voltage value within tolerable limits up to five years.

Słowa kluczowe

EN

distributed generation; genetic algorithm; load models; power loss; load growth

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2018
• Tom: Vol. 67, nr 3
• Strony: 667--–682
• Opis fizyczny: Bibliogr. 37 poz., rys., tab., wz.

Twórcy

autor

Rahman Y. A.

• Department of Electrical Engineering, Engineering Faculty Tadulako University Soekarno Hatta Km.10, Palu, 94119, Indonesia

autor

Manjang S.

• Department of Electrical Engineering, Engineering Faculty Hasanuddin University Malino, Borongloe, Bontomarannu, Gowa, 92119, Indonesia

autor

Yusran A.

• Department of Electrical Engineering, Engineering Faculty Hasanuddin University Malino, Borongloe, Bontomarannu, Gowa, 92119, Indonesia

autor

Ilham A.

• Department of Informatics, Engineering Faculty Hasanuddin University Malino, Borongloe, Bontomarannu, Gowa, 92119, Indonesia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).