DocumentCode
3252502
Title
Distribution system adequacy assessment with cosideration of stochastic distributed generation
Author
Haghifam, Mahmoud Reza ; Hadian, Arezoo
Author_Institution
South Tehran Branch, Dept. of Electr. Eng., Islamic Azad Univ., Tehran, Iran
fYear
2010
fDate
14-17 June 2010
Firstpage
553
Lastpage
557
Abstract
One of the important role of distributed generation is demand supply near the customer location. Due to reducing the capital investment cost of power system upgrading, distributed generation utilization has economical benefits for utilities. Because of fossil fuel cost increment and environmental concern importance, renewable based distributed generation penetration rate in increased. Due to inherent variability of their primary energy, power system planning in presence of these resources requires special attention and suitable modeling of their power generation. In this paper, it has been supposed that additional required capacity with respect to substation capacity for supplying load should be provided by renewable based distributed generation implementation. Accordingly, power distribution system adequacy in presence of renewable based distributed generation is assessed using Monte Carlo Simulation in this paper.
Keywords
Monte Carlo methods; fossil fuels; investment; power distribution; power system economics; power system planning; substations; Monte Carlo Simulation; capital investment cost; customer location; demand supply; distributed generation penetration rate; distributed generation utilization; distribution system adequacy assessment; economical benefits; fossil fuel cost increment; power distribution system adequacy; power generation; power system planning; power system upgrade; stochastic distributed generation; substation capacity; Costs; Distributed control; Environmental economics; Fuel economy; Investments; Power generation economics; Power system economics; Power system modeling; Power system planning; Stochastic systems; Adequacy assessment; Distributed generation; Monte Carlo Simulation; Renewable energy;
fLanguage
English
Publisher
ieee
Conference_Titel
Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-5720-5
Type
conf
DOI
10.1109/PMAPS.2010.5528945
Filename
5528945
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