1995 年 115 巻 11 号 p. 1331-1336
As the power generation planning has become more complex in recent years due to energy resource and environmental constraints as well as current deregulation in the electric power industry, the more detailed long term generation planning, such as monthly planning, taken into account those circumstances must be developed based on the composite view point. In this long term generation planning, the fuel consumption schedule under the given total amount of fuel supply is very important and the computatively effective thermal unit commitment method is also required for the long term operation.
Assuming that an total amount of fuel is allocated for the group of thermal units which use the same kind of fuel, we propose an monthly unit commitment scheduling method with fuel constraint in this paper. The proposed method is basically an extended version of the iterative optimization algorithm based weekly unit commitment method developed by authors earlier and includes algorithms being able to deal with the fuel constraint imposed on the group of thermal units.
Through numerical examples, we show the meaning of the development of monthly unit commitment method and the usefulness of the proposed method in terms of computing burden and flexibility.
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