Research On Smart Home Energy Efficiency Optimization Management Strategy Based On Demand Response

To make the way of power supply and utilization more flexible and interactive is the development tendency of intelligent electricity.Demand response technology enhances the interaction between the user and the power grid,and load transfer and load reduction is the most effective means of it.Distributed power generation of household can supply power for the terminal user directly with providing clean energy,but also it may solve power imbalances and power quality problems due to its two-way power flow and intermittent power supply.Under the support of the smart grid technologies,it is of great significance to research on the intelligent load control technology to effectively integrate the demand side response potential of user-side,with the purpose of power peaking and promoting the concumption of the distributed power generation.This paper frame an energy efficiency optimization management system of intelligent home.With the two-way interactive power of smart grid,this system realize central control of management and scheduling the operation of household electricity appliances,the charge/discharge of storage batteries as well as the operation of renewable energy generation system automatically.The characteristics of the residential loads are studied emphatically,and the diversity load control programs for the residential users to participate in power peaking and promoting the consumption of the distributed power generation are proposed,benefits to lead the rational utilization of power,aims at energy conservation and emission reduction.Firstly,the classification and characteristics of the electricity load in smart home are in-depth,including controllable load such as air conditioning,water heater and electri vehicle,which provides theoretical basis for the establishment of the mathematical model of controllable load.Based on the theory of demand side management,the smart household energy efficiency optimization management system is established,and the bidirectional energy flow and information flow are analyzed.Under the coordination of the SHEMS control center,intelligent socket and intelligent gateway,the intelligent control of household load is realized.Then,the load control mode and the mechanism of electricity price involved in demand side response are studied,and the advantages of photovoltaic power generation technology and V2G technology applied to intelligent household energy efficiency optimization management is analyzed.Secondly,the energy efficiency optimization control scheme is put forward,and a mixed integer programming model of diversity load optimal control in smart home is established,in order to minimize the cost of electricity consumption when the user's comfort and the life cycle of EV battery are considered.Design different cases for both summer and winter,and make simulation analysis.The simulation results verify the availability of energy efficiency optimization strategy in peak load shaving and optimize power order.In the end,the optimization objective of minimizing the cost of electricity consumption is achieved under the premise of meeting the needs of usersFinally,starting from the angle of smoothing the load curve,this paper develop the energy efficiency optimization experiment system of diversity load,and then it achieve the flexible and friendly interaction between the user and smart grid.Moreover,this paper embed the efficiency optimization control strategy in the terminal control platform of diversity load,and eventually landed in the smart building and interactive business hall of a domestic city.Through the experiment results to verify the effectiveness and economic of energy efficiency optimization system and control strategy.