Building and Researching the Bidding Model Based on the Costof Power Plant

被引：0
|
作者：
秦春申
叶春
赵景峰
机构：
[1] School of Mechanical Eng.
[2] Shanghai Jiaotong Univ.
[3] Shanghai 200240
[4] China
来源：
Journal of Shanghai Jiaotong University | 2004年 / 04期
关键词：
power system; power market; neural network; market clearing price;
D O I：
暂无
中图分类号：
F407.61 [电力、电机工业];
学科分类号：
摘要：
A bidding model of neural network was presented to pursue the largest benefit according to the policy of separating power plants from network and bidding transaction. This model bases on the cost of power plant and its research object is a power plant in the market. The market clearing price (MCP) can be predicted and an optimized load curve can be decided in this model. The model may provide technical support for the power plant.
引用
收藏
页码：77 / 80
页数：4
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