Research On Optimal Control Model Of Intelligent Building Energy Management System

With the rapid development of urbanization process and the increasing emergence of large scale buildings,the proportion of building energy consumption is greatly increasing.According to the US Energy Information Administra tion research data,building energy consumption accounts for 40% of total energy consumption and Prospective Industry Research Institute data shows that building energy consumption of China has reached 27.45% which will continue to rise to 35%.More and more people pay attention to building energy consumption and building energy saving is imminent.The task of building energy management system(BEMS)is to manage and control the energy flow within the building through the flow of information and ensure the operation of building system safe and economic.Random fluctuation characteristic of the Building Integrated Photovoltaic(BIPV)power output,uncertainty of building loads,effect of load characteristics by demand response and time-of-use(TOU)price are outstanding issues in the context of smart grid that intelligent building energy management system must be urgently resolved.Therefore,it has great theoretical significance and important application value to carry out the research on optimization model o f intelligent building energy management system.First of all,all kinds of power supplies,loads and energy storage devices in the building system are classified and analyzed,and the corresponding equivalent mathematical models are established in this paper.Secondly,the main environmental factors which influence the building indoor comfort are analyzed,and the indoor environment parameters models are established.Thirdly,considering the energy economy and comfort level as the optimization objective fu nction,a two-stage optimization model of smart building energy management system is established in this paper from day-ahead and intra-day time-scales based on the predictive values of BIPV,loads and outdoor temperature.The optimization objective of the day-ahead optimization is to minimize operating costs while the optimization objective of the intra-day is to balance operating costs and comfort level at the same time and establish the multi-objective optimization model based on the results of day-ahead optimization.Optimal operation of all kinds of generators,storage devices and loads are optimized through the multi-time scales collaborative optimization.The simulation example shows that using the multi-time scale optimization method can guarantee the real-time effectiveness of optimization and improve the system economy without affecting the occupants' comfort.Finally,the three-dimensional architectural model of building is built in EnergyPlus software to analyze the relationship between indoor environmental parameters and building energy consumption.Changing the indoor environment parameters appropriately within the allowable range set by the occupant through direct load control methods which belongs to the demand side management can achieve energ y saving purpose.Combining the demand side management and the optimization of power to optimal control the building energy management system from the points of loads and power system,this method can reduce building energy consumption and improve the overall economy without affecting the occupants' indoor comfort.The simulation results using real data show that the optimal control method reduces the building energy consumption to a great extent and effectively improves the energy consumption situation and economic costs of the whole building system.