DocumentCode :
1255264
Title :
A new long-term hydro production scheduling method for maximizing the profit of hydroelectric systems
Author :
Yu, Zuwei ; Sparrow, Frederick T. ; Bowen, Brian H.
Author_Institution :
Inst. of Interdisciplinary Eng. Studies, Purdue Univ., West Lafayette, IN, USA
Volume :
13
Issue :
1
fYear :
1998
fDate :
2/1/1998 12:00:00 AM
Firstpage :
66
Lastpage :
71
Abstract :
This paper presents a new long-term hydrothermal production scheduling method. The proposed method maximizes the profit of hydroelectric plants, based on the monthly energy requirement of the system, instead of minimizing the production cost of thermal units. It is shown that different forms of composite thermal marginal costs will lead to the same hydro production schedule. Thus a linear marginal cost, the simplest form, is sufficient for long-term hydrothermal scheduling. A linear hydro marginal profit is also sufficient for this purpose. An immediate conclusion is that an actual composite thermal cost function, which is complicated by thermal unit availability, may not be needed for the long-term optimal hydrothermal scheduling. Due to this simplification, traditional long and mid-term hydrothermal scheduling, a complicated problem, becomes easier to solve. The method can be used by the owners of independent hydro plants in a region for long-term hydroelectric scheduling under both deregulation and competition. A case study shows that the model allocates successfully and efficiently the hydroelectric resources to peak demand periods with negligible computation time
Keywords :
economics; hydroelectric power stations; hydrothermal power systems; optimisation; power system planning; scheduling; thermal power stations; competition; composite thermal marginal costs; computation time; deregulation; hydroelectric generation scheduling; hydroelectric plants; long-term hydrothermal production scheduling; marginal profit; monthly energy requirement; peak demand periods; power generation planning; profit maximisation; thermal power plants; thermal unit availability; Africa; Cost function; Power engineering and energy; Power system analysis computing; Power system economics; Power systems; Processor scheduling; Production systems; Resource management; Thermal engineering;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.651615
Filename :
651615
Link To Document :
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