摘要
首先对不同类型电源的市场价值进行了论述,得出了多年调节和年调节水电站市场价值高于火电,水电的市场价值与调节性能成正比的结论。然后基于该结论建立了以"电价管制期内各方主体利益调整最小"为目标函数,以各类型电源在市场上的价值判断为约束的优化模型,并应用遗传算法求得上网侧峰谷电价的最优浮动比例。该优化模型以预测的电力需求和电源结构为基础进行计算,从而可以保证在一个电价管制期内相关利益主体的购售电影响均衡。最后,以某实际电网的数据进行了仿真计算,计算结果表明所建立的模型具有可行性。
In this paper, the market value of different type units is analyzed, and it is concluded that the value of multi - annual and annual regulating hydropower plants is greater than that of thermal units, and the value of hydropower plants is proportional to its regulation performance. Then the optimization model is built with objective function of the minimum profit adjustment among all the related power en- terprises and with constraint conditions of market values re- flecting different types units. The optimal floating propor- tion of pick - valley price is solved by genetic algorithm. In the end, case results show that the proposed model is feasi- ble which can balance the profit adjustment among the relat- ed electricity enterprises based on the forecasting electricity demand and source structure.
出处
《现代电力》
北大核心
2013年第4期83-87,共5页
Modern Electric Power
关键词
上网电价
峰谷电价
浮动比例
优化模型
遗传算法
generation price
peak- valley price
float pro-portion
optimization model
GA