摘要
在一定负荷条件下,对火电厂各机组煤耗量进行优化控制能够节约成本,有效提高运行的经济性。将数据包络分析理论中含有非阿基米德无穷小的BBC模型用于火电厂生产效率评估,以机组煤耗量为输入量、机组有功功率为输出量,建立了火电机组能耗优化模型。应用一种以数据处理为基础的计算方法对模型进行求解,得出煤耗量最小的机组运行情况。将计算结果与未优化前机组的煤耗量进行对比,验证了所建立模型的合理性和有效性。
Under the given load conditions, the optimized control of the coal consumption in the thermal power plant can save the cost and effectively improve the operation efficiency. The Banker-Charnes-Cooper （BCC） model containing the non- Archimedean infinitesimal in the theory of data envelopment analysis （DEA） is used for assessing the production efficiency of the thermal power plant. An optimization model for the energy consumption of the generating unit is set up with the coal consumption as the input and the active power of the unit as the output. The model is solved by the method based on data processing and the operation condition in which the amount of coal consumed is the smallest is obtained. The result demonstrates the validity and feasibility of the model built in the paper by comparing it with the original case.
出处
《电网与清洁能源》
2012年第2期44-51,共8页
Power System and Clean Energy
基金
国家自然科学基金项目(50767001)
广西自然科学基金项目(2011jjA60017)~~
关键词
电力系统
数据包络分析
BBC模型
决策单元
power system
data envelopment analysis
BBC-model
decision making unit
