Research On Electric Heat Dispatching Model Based On The Technology Of Absorbing And Discarding Air In Electric Boiler

As renewable energy has the characteristics of small pollution and large amount of renewable energy,large-scale development of new energy has become an effective way to improve the power structure,and also an important part of energy structure reform in developing countries.However,the application of wind power in large-scale power grid has encountered a bottleneck due to its remarkable peak inversion and large fluctuation.How to effectively use clean energy and minimize the impact of wind power fluctuations on the power grid has become the focus of domestic and foreign scholars.This paper focuses on how to deeply mine the peak load regulation capacity of thermal power system,and then improve the wind power consumption space of the whole power system.Firstly,the research status of wind power consumption and related scheduling models and algorithm hot spots at home and abroad is described,and the scheme of thermal power unit with electric boiler is proposed to achieve wind power consumption.By analyzing the current algorithms for solving the optimal scheduling model,an improved particle swarm optimization algorithm is proposed to solve the problem,and the fuzzy decision method is used to select the optimal solution.Secondly,the operation characteristics of back pressure thermoelectric unit and electric boiler and the mechanism of peak load regulation decoupling of electric boiler are analyzed.Based on the electric boiler,the comprehensive dispatching model of electric heating and the optimization model of consumption ratio of comprehensive dispatching of electric heating are established.Based on the electric heating comprehensive scheduling model of electric boiler,the minimum coal consumption of the unit in a scheduling cycle is taken as the goal.Considering the influence of the utilization ratio of the combustion on the model,the consumption distribution is considered as the constraint condition,and the proportion coefficient is introduced to provide decision-making tools for the staff with different risk attitudes.Finally,the results of an example show that the improved particle swarm optimization algorithm is used to solve the model,and the generation process of each unit in a cycle is obtained,which verifies the accuracy and feasibility of the algorithm and model proposed in this paper.The solution proposed in this paper,on the premise of ensuring the stability and safety of power grid operation,to a certain extent,improves the space for new energy consumption.