Research On Energy Internet Collaborative Control Based On Intelligent Prediction

With the global energy crisis and environmental pollution becoming more and more serious,Energy Internet(EI)has become the focus of international academic community and industry.EI provides an open framework for integrating information and communication technologies with each entity involved in energy production,transmission,storage,exchange and consumption.At present,effective prediction of renewable energy output and energy demand,as well as collaborative control of various distributed energy sources are two major issues that need to be solved urgently in the development of EI.The main purpose of the collaborative control of EI is to meet the load demand while ensuring economic,efficiency and safety.In this paper,EI including generation,sale and consumption is studied,and the collaborative control problem among various entities in EI is studied.The following work has been completed:(1)A particle swarm optimization algorithm based on cross mutation and gradient acceleration is proposed,and a neural network optimized by improved particle swarm optimization is proposed.The improved particle swarm optimization algorithm is used to determine the parameters of the neural network.Then the neural network is applied to photovoltaic output prediction,wind power output prediction and energy load prediction in EI.(2)An Energy Internet model including production,sales and consumption is established.Combined with economic dispatch and Stackelberg game,an EI collaborative control method based on short-term forecasting is proposed.The method minimizes the generation cost of power generation companies while maximizing the profit of retailer and the utility of microgrids,and realizes the efficient operation of EI.(3)A collaborative control method considering prediction error is proposed,which can realize real-time collaborative control of EI and avoid power imbalance caused by prediction error.By introducing this collaborative control method in the adaptive mechanism,the reliability and stability of EI can be improved.