Research On Optimization Strategy Of Household Power Consumption Based On Demand Side Response

As fossil energy shortages and environmental pollution problems become more and more serious,efficiently saving,managing and using energy has become a hot topic.The development of smart electricity technology provides a solution to the problem of energy shortage and environmental pollution.Smart power technology is one of the means to realize the interaction between the power grid and users and strengthen energy management.With the increasing electricity load of residents' lives,intelligent management of household electricity consumption and reduction of energy waste have made the research of household energy management systems increasingly urgent.The thesis introduces the research status of intelligent power consumption technology and home energy management system,elaborates the advanced measurement system and demand response technology of home energy management system,and describes the load classification of home energy management system.The thesis mathematically models household electrical equipment and gives two different electrical equipment scheduling models for household energy management systems.For households with photovoltaic power generation systems but no energy storage equipment,different optimization scheduling models are established with the minimum electricity cost and comprehensive consideration of electricity cost and satisfaction as the constraints.For families with energy storage equipment,a mathematical model of energy storage equipment has been established.Based on the factors such as charge and discharge efficiency,state of charge of energy storage equipment and time-of-use electricity prices,the electricity cost is the least and the electricity consumption is comprehensively considered cost and satisfaction are optimization goals.Different scheduling models are established for simulation calculation.The BAS-PSO hybrid algorithm is used to solve the model,and the effectiveness of the scheduling strategy is calculated through simulation.