Research On Distributed Electeic Heating Control Strategy Based On Multi-objective Optimization

As an effective way of "coal to electricity",distributed electric heating cluster can improve the consumption of wind power output and reduce the problem of "wind abandoning".Based on the construction of the distributed electric heating load model,this paper formulated the distributed electric heating cluster control strategy to improve the load response capacity of the distributed electric heating cluster and improve the user’s heating comfort and economy.The main research contents are as follows:First of all,in a distributed electric heating equipment as the research object,according to the principle of building heat transfer analysis including indoor and outdoor heat balance and heat transfer process of electric heating room,reference to build distributed parameter R-C circuit model of thermodynamics model,using the lumped parameter method to convert the model of lumped parameter thermodynamic model,and further simplified thermodynamic model for the second order.Based on the data collected by field experiments,the thermodynamic model parameters were fitted.On this basis,the operating mechanism of distributed electric heating equipment is analyzed,and the operating characteristics of electric heating equipment under different control modes are compared.Secondly,the influence factors of the traditional thermal comfort model of human body are studied,and the simplified thermal comfort model of human body is built on this basis.To heating comfort,economy as the goal,dead zone as constraint,the global temperature electric heating temperature limit established multi-objective optimization model,the multi-objective particle swarm optimization algorithm to solve the electric heating temperature limit multi-objective optimization model,determine the optimum temperature range,by changing the Settings in the temperature range distributed electric heating equipment,realize distributed variable temperature limit control electric heating equipment.Then,in a distributed cluster electric heating as the research object,adopts variable power level control method,cluster building heating comfort,economy and fairness goals,establish the optimal power level distributed electric heating equipment,benchmark power difference determination method and gear,through improved multi-objective particle swarm optimization algorithm for solving,to realize distributed cluster variable power level control electric heating.Finally,the establishment of the distributed control architecture based on electric heating device cluster,adopt variable power level control and direct switch control mode of hybrid control,distributed cluster hybrid electric heating equipment control strategy,the simulation analysis of distributed cluster hybrid electric heating control strategy under given the output of wind power and electric heating equipment start-stop and indoor temperature changes,verify the effectiveness of distributed electric heating cluster hybrid control strategy.On the basis of realizing accurate absorption of new energy and improving load flexibility,the proposed strategy ensures user’s heating comfort,and provides a new feasible method for new energy absorption control strategy of electric heating cluster.Research work is helpful to improve the load aggregators mode distributed control strategy of electric heating equipment,heating user in heating comfort and economy at the same time,improve the level of new energy given flexible and electric heating load,accelerate the energy supply clean low carbonization of electrification,energy consumption,to achieve "double carbon" is of great significance.