The study of reliability indices, power losses, and economic effects when distributed generators (DG) connected to a distribution system

Author(s): Pathomthat Chiradeja a, Chaichan Pothisarn b, Atthapol Ngaopitakkul b
a Faculty of Engineering, Srinakharinwirot University, Bangkok, Thailand
b Faculty of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand
International Journal of Smart Grid and Clean Energy, vol. 9, no. 2, March 2020: pp. 338-345
ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.9.2.338-345

Abstract: The increasing of electrical energy demand around the world required more generation part of the power system. Distributed Generators (DG) provides electric power to a specific location near to the customers to avoid the unnecessary losses, e.g., transmission and distribution costs. Currently, distributed generators (DG) which are based on renewable energy technologies such as solar, wind, and biomass are widely applied in power system. However, the system reliability is the key factor for the electrical system installation. This paper presents a methodology for determining the reliability index and total electrical losses of the power system model used in Thailand performed by DigSILENT PowerFactory. Thus, the System Average Interruption Frequency Index (SAIFI), System Average Interruption Duration Index (SAIDI), and Expected Interruption Cost (ECOST) are assessed as reliability indices, while the active and reactive power is considered as losses of the system. Moreover, the study and analysis of an economic impact on DG to determine the optimal size and type are investigated. The results indicate that the location and sizing of DG have a significant influence on the reliability indices and the power losses. The economic evaluation reviews that the biomass DG of 1 MW gives the best DPP (4.78 years) and IRR (25.27%), as well as more efficient in electrical generation than the solar power and wind power.

Keywords: SAIFI, SAIDI, distributed generator, renewable energy, power loss, economic
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