The Scheduling Strategy Of Combined Heating And Power Microgrid With Thermal Inertia And Uncertainty Considered

For a long time,the world’s energy development relies too much on fossil energy,resulting in resource strain,climate change,environmental pollution and other increasingly prominent problems,people pay more and more attention to the combined heating and power system which can realize multiple energy sources and complement each other.The combined heating and power system combined with microgrid can meet the thermal and electrical load demand of users,and further improve the economy and environmental protection of microgrid operation.However,the renewable energy output and electrical load in the combined heating and power microgrid are easily affected by the weather and other factors,on the basis of prediction has certain error,and for the heating system in the combined heating and power microgrid,its temperature parameter is the coupling quantity of multi-period,and the thermal output and thermal demand are not in instantaneous balance,which brings great challenges to the optimal scheduling of the combined heating and power microgrid.At the same time,with the maturity of microgrid technology,more and more microgrids are connected to the distribution network,and there may be electrical power interaction between microgrids to form a multi-microgrids system,which will produce operation characteristics different from that of a single microgrid.Based on the above background,this paper mainly studies the optimal scheduling of combined heating and power microgrid.The work completed and the research results obtained in this paper are as follows:(1)The mathematical model and working principle of each component unit in the combined heating and power microgrid are analyzed in detail,and considering the thermal dynamic characteristics of heating area,the traditional real-time balance constraint of heat load is transformed into the temperature of heating region to meet the temperature demand of human body,the heating area heat as control variables are added to the schedule,then the thermal inertia model of heating area in combined heating and power microgrid is established,which lays a foundation for the follow-up research.(2)On the basis of taking into account the thermal inertia of the heating region and considering the electrical power interaction between adjacent microgrids geographically,an economic dispatching model of the multi-microgrids system with the thermal inertia of the heating region and the power interaction between microgrids is established,the influence of thermal inertia and electrical power interaction between microgrids on economic scheduling of multi-microgrids is analyzed.It is concluded that considering the thermal inertia of the heating area and the electric power interaction between the adjacent microgrids in the multi-microgrid system can improve the economy of the multi-microgrid system.(3)An interval multi-objective linear optimization method for combined heating and power microgrid is proposed,which is used to simultaneously consider the uncertainties of renewable energy output and power load in microgrids and the multiobjective optimization operation of microgrids.The method is multi-objective with the lowest economic and environmental costs of micro-grid operation,at the same time,considering the thermal dynamic characteristics of the heating region,then the mixed integer linear programming method is used to solve the model.Through the example analysis,it can be seen that the multi-objective optimization model can better meet the economic and environmental requirements of microgrid operation,and the optimal solution in the form of interval can reflect the influence of uncertain factors in the microgrid on the optimal operation of microgrid.