| With the rapid development of China’s wind power,wind power absorption capacity has become a key factor restricting its development.Especially in the "sanbei" region,there is a high overlap between the wind-rich area and the heating area in the winter heating period,which leads to the difficulty in peak shaving of the traditional units.In addition,the high heating temperature demand in the cold region in the heating season also aggravates the wind abandoning phenomenon.Therefore,the indoor temperature during heating period can be optimized through the constraint of user’s thermal comfort,so as to reduce the output of cogeneration unit without affecting the user’s thermal comfort,and at the same time increase the auxiliary heat source to reduce the heating pressure of the thermoelectric unit,so as to promote the absorption of wind power and reduce the coal consumption of the system.The main work of this thesis is as follows:Firstly,it analyzes the current energy situation in China,the methods to promote wind power consumption and the problems.On the basis of this,a combined heat and power scheduling model is proposed to minimize the coal consumption of the system.This thesis analyzes the basic structure of the proposed combined heat and power system,studies the operating characteristics of the electric boiler,thermal power unit and thermoelectric unit in the system,and establishes a mathematical model,which lays a foundation for establishing the combined heat and power model considering the thermal comfort of users.Secondly,the concept of user thermal comfort is introduced,and a method of applying the percentage index of thermal dissatisfaction(PPD)to constrain the indoor temperature is proposed,and a thermoelectric co-optimization scheduling model considering user thermal comfort is established with the minimum coal consumption of the system as the objective function.The model contains more than one unit,a variety of constraint conditions,the multidimensional and the non-linear relationship of system optimization scheduling problem,this article uses the particle swarm optimization algorithm with adaptive particle constraints to solve the model,to ensure that solving the particles are in the range of output constraints,and details the self-adjusting process of particles.Simulation results show that the indoor heating temperature can be optimized by introducing the unsatisfied index range,so as to reduce the heat supply of thermoelectric units,thus promoting the consumption of wind power and improving the economy of the system.Finally,on the basis of the optimization of thermal load considering the thermal comfort of users,it is proposed to add the electric boiler controlled by the start and stop of wind abandon in the model to be distributed in each secondary heat network,which can be used as the electric load to consume wind power heating and as the auxiliary heat source to reduce the heating pressure of the thermoelectric unit.Considering the influence of the electric balance constraint on the consumption of electric boilers,the thermal balance constraint on the auxiliary heating of electric boilers,and the thermal comfort level of users,a combined thermoelectric scheduling model considering the thermal comfort level of users and peak regulation of electric boilers was established.Through simulation calculation,the proposed scheme is verified to be more effective in improving energy efficiency and reducing system coal consumption.In addition,the influence of different wind power permeability,thermal comfort range index of different users,different boiler capacity and electric boiler start-stop strategy on wind power absorption and coal consumption of the system was compared and analyzed. |
