Publication: The study of economic effects when different distributed generators (DG) connected to a distribution system
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Issued Date
2018
Resource Type
File Type
application/pdf
Other identifier(s)
2-s2.0-85050357232
Rights Holder(s)
Scopus
Bibliographic Citation
2018 19th International Scientific Conference on Electric Power Engineering, EPE 2018 - Proceedings. (2018), p.1-5
Suggested Citation
Chiradeja P., Yoomak S., Ngaopitakkul A. The study of economic effects when different distributed generators (DG) connected to a distribution system. 2018 19th International Scientific Conference on Electric Power Engineering, EPE 2018 - Proceedings. (2018), p.1-5. doi:10.1109/EPE.2018.8395962 Retrieved from: https://hdl.handle.net/20.500.14740/4135
Author(s)
Abstract
This paper presents the study and analysis of an economic impact on distributed generator (DG) installation connected to the 22-kV distribution system of the Thanyaburi substation of Provincial Electricity Authority (PEA), Thailand, which covers 8.18 km of distribution line distance and has four BUS connected with DG. In order to determine the optimal size and type of DG, the DIgSILENT PowerFactory software is used to simulate the DG connected to the distribution system. The DG used in case studies has three types: solar power, wind power, and biomass; each type has a size varied from 1-8 MW. For economic evaluation, the indices of discount payback period (DPB) and internal rate of return (IRR) are employed. The results indicate that solar power and wind power which are high power generation can be more achievable economic performance than low power one due to better the ratio between investment costs and megawatts. However, the biomass distributed generation of 1 MW gives the best DPB (4.78 years) and IRR (25.27%), as well as more efficient in electrical generation than the solar power and wind power. © 2018 IEEE.
Subject(s)
Distributed power generation
Earnings
Economic and social effects
Economics
Investments
Solar energy
Van de Graaff generators
Wind power
DIgSILENT PowerFactory
Distributed generators
Economic evaluations
Electrical generation
High-power generation
Internal rate of return
Payback periods
Renewable energies
Economic analysis
Earnings
Economic and social effects
Economics
Investments
Solar energy
Van de Graaff generators
Wind power
DIgSILENT PowerFactory
Distributed generators
Economic evaluations
Electrical generation
High-power generation
Internal rate of return
Payback periods
Renewable energies
Economic analysis