Optimization Operation Research Based on CTS-DNFF Forecast for CCHP

2017 2nd Asia Conference on Power and Electrical Engineering

能源学;电工学

Ma, Junjie^1

Department of Electric Power Engineering, North China Electric Power University, Baoding, China^1

关键词: Chaotic time series;    Dynamic fuzzy neural networks(D-FNN);    Economy and environmental;    Heating and power;    Optimization operation;    Photovoltaic power generation;    Scheduling models;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/199/1/012015/pdf
DOI  :  10.1088/1757-899X/199/1/012015

来源: IOP

【 摘 要 】

For the process of scheduling, the method of combining dynamic fuzzy neural network and chaotic time series is proposed to be directed against uncertainties in cooling heating and power load and photovoltaic power generation output. The uncertainty in the system can be well reduced by the method. On the basis of each uncertainty can be forecasted, the scheduling model of considering economy and environmental protection is built, and the rationality of the scheduling is analysed in the light of simulation.