Research On Optimization Strategy Of Energy Dispatch Of Intelligent Residential District

In recent years,intelligent residential districts have developed rapidly in China,and their functions have become increasingly diversified,meeting the increasing electricity demand of urban residents.In each intelligent residential district project,the energy management system is an important subsystem of the intelligent residential district integrated service and management system.The in-depth study of its energy dispatch optimization strategy can make loads of the intelligent residential district run in a more scientific way,and also save the residents more.More electricity bills,and the use of distributed power and energy storage system energy scheduling to obtain more power benefits.In order to reduce the total electricity consumption of the intelligent residential district and reduce the peak of the residential load curve,this paper studies the intelligent cell energy scheduling optimization strategy.Firstly,considering the various household appliances,photovoltaic power sources and storage batteries in the community,the overall architecture of the intelligent residential district energy management system is proposed,and the functions of each part are explained.According to the different conditions of household load,the load was classified and its working characteristics were studied.A photovoltaic power output power model suitable for a smart residential building was established.Combined with the functional requirements of the battery in the intelligent residential district,the model of the residential building battery was established and its working characteristics and performance parameters were studied.The calculation method of the loss cost of the battery was proposed.Secondly,based on ant colony algorithm,an optimal controllable load group optimization control strategy for intelligent residential district is proposed.An intelligent residential district air conditioning group optimization control strategy based on changing the allowable room temperature range method is proposed.The comprehensive change water temperature setting value and preheating are proposed.Method for intelligent residential district electric water heater group optimization control strategy.Considering the photovoltaic power supply and storage battery in the intelligent residential district,an energy dispatching strategy aiming at reducing the total electricity consumption of the intelligent residential district is proposed.Combining the optimal control strategy of the controllable load group with the scheduling strategy of photovoltaic and battery,a complete intelligent cell energy scheduling optimization strategy is formed.Finally,the Monte Carlo method is used to verify and analyze the intelligent cell energy scheduling optimization strategy.Combined with the time-of-use electricity price,the electricity cost saved when implementing the optimal control strategy of various load groups is calculated,and the electricity cost saved by the entire intelligent community before and after energy scheduling optimization is calculated.The influence of the change of the controllable load participation rate on the optimized daily load curve of the intelligent residential district is explored.In the environment of ladder price and real-time electricity price,the energy saving effect of the intelligent cell energy scheduling optimization strategy proposed in this paper is verified.