A Study On Comprehensive Energy Utility Coordinated Control Technology

With the development of distributed energy system and CCHP system,in order to adapt to the park included oil,gas,electricity and other energy in the comprehensive energy utilization has different characteristics in the process of operation,this paper makes a study of the cold and heat load prediction algorithm,end user energy supply dynamic model based on BP neural network and the comprehensive optimization algorithm based on energy.The prediction method based on the linear extrapolation and the similar days is constructed to predict the cold heat and power load.And the accuracy of the predicted value is increased by taking into account the load trend.In addition,the similar day method applied to the prediction of photovoltaic power generation,and the maximum similarity date as the data input,improve the fitting performance of BP neural network,so as to i mprove the prediction accuracy of the algorithm.Finally,use the comprehensive energy optimization method to achieve the optimization of energy arrangements under different operational objectives.