DocumentCode
3040483
Title
Power Ration Effect on Limited Power Generation Costs
Author
Oonsivilai, Anant ; Greyson, Kenedy A.
Author_Institution
Alternative & Sust. Energy Res. Unit (ASER-U), Suranaree Univ. of Technol., Nakhon Ratchasima, Thailand
Volume
1
fYear
2009
fDate
19-21 May 2009
Firstpage
374
Lastpage
378
Abstract
While most researches in developed countries are based on power congestion and transmission lines of more capacities, electric power supply companies in most developing countries still have limited electric power generating plants. Limited resources such as:water, oil, gas, coal, nuclear, etc., are the causes of power ration in these countries. In this paper,operating costs of a thermal plant operating at rationing base is analyzed. Using optimal active power dispatch algorithm, the effect of power reschedule at different location on generation costs is obtained and analyzed. Fuel cost and transmission losses are considered. It is observed that, at some location, rationing affect the electric company economy due to the high loss and load under rationing, time of rationing and the uneconomical generating cost. This research contribution is to assist in economical projection for the electric companies and decide the location and time of the rationing. Results presented are based on IEEE 14-bus testing system, IEEE 30-bus testing power system.
Keywords
power generation dispatch; power generation economics; power transmission lines; thermal power stations; IEEE 14-bus testing system; IEEE 30-bus testing power system; electric company economy; electric power generating plant; electric power supply; fuel cost; optimal active power dispatch algorithm; power generation cost; power ration effect; thermal plant; transmission lines; transmission losses; Algorithm design and analysis; Cost function; Fuels; Nuclear power generation; Petroleum; Power generation; Power generation economics; Power supplies; Power transmission lines; System testing; coefficient of determinations; extended SEMM; extended measurements; optimal environment; power systems; state estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location
Xiamen
Print_ISBN
978-0-7695-3571-5
Type
conf
DOI
10.1109/GCIS.2009.366
Filename
5208957
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