Microgrid Dispatch Of Combined Cooling,Heating And Power Based On Peak-valley Characteristics

The rapid economic development has caused energy depletion and environmental pollution.The effective use of wind power and other renewable energy is an inevitable trend in energy development.Combined cooling,heating and power microgrid,which contains combined cooling,heating and power system with microgrid,which has good flexibility,can effectively improve energy utilization efficiency and reduce polluting gas emissions.Research on optimal scheduling strategy of combined cooling,heating and power microgrid is of great significance to solve energy and environmental problems.In the combined cooling,heating and power microgrid,there is a coupling relationship among cold,heat and electricity,and the combined cooling,heating and power loads have different peak valley periods.Only by adjusting the peak valley characteristics of combined cooling,heating and power loads,can the optimal scheduling strategy be obtained.In this thesis,the combined supply and output of cold and thermal power supply micro network is studied based on the demand of peak and valley of cooling and thermal load in different periods.In the process of determining the micro grid scheduling of combined cold and thermal power supply,the optimal objective function with the lowest comprehensive operation cost considering the cost of system fuel purchase,energy storage,power grid interaction,operation and maintenance and waste air cost is established.The constraints include the operation constraints of micro gas turbine,wind turbine,fuel cell,electric boiler and energy storage device,as well as the conversion and balance constraints among cooling,heating and electric loads.Based on the characteristics of the mode of "electricity based on heat" and "electricity based on heat",the load regulation mechanism of cooling,heating and power system is studied.Firstly,according to the peak and valley demand analysis of load in different periods,four kinds of conditions are determined: peak and valley of heat load,peak and peak of heat load,peak and peak of heat load in low valley and peak of heat load in low valley,Secondly,the mode of "determining electricity by heat" is adopted for peak electric load,low electric load and peak electric load,and the mode of "determining heat by electricity" is adopted for low electric load and low electric load peak electric load.The adaptive parameter particle swarm optimization algorithm is used to solve the model,and the example is used to schedule the combined cooling,heating and power system in winter and summer,and the results verify the effectiveness of the strategy.In the uncertain scheduling of combined cooling,heating and power microgrid,based on the deterministic system scheduling model,the uncertain model of renewable energy wind energy and combined cooling,heating and power load is introduced,and the uncertain optimal scheduling model of combined cooling,heating and power microgrid based on chance constrained programming is established.The model is solved by adaptive parameter particle swarm optimization algorithm and stochastic simulation technology.In the case simulation,different confidence levels are set for different fluctuation of cooling,heating and power loads during peak and valley periods.The effectiveness of the proposed method is verified by the analysis of scheduling results and operation costs with wind power uncertainty,wind power and power load uncertainty and wind power and cooling,heating and power load uncertainty.