Low Carbon Optimal Scheduling Of Building Ies Considering Multiple Uncertainties And Integrated Demand Response

With the depletion of fossil fuels,the proposal of the goal of "Carbon peak and Carbon neutral" means that low-carbon,safe and efficient energy system will be the direction of future energy development.Under the background of the rising total construction volume in China,building cluster,as the main body of energy consumption in China,takes up to 40% of the consumption.Integrated energy systems,which use multiple energy to complement and substitute,promote energy transformation and achieve low-carbon goals,have become a research focus at home and abroad.Promoted by demand side management,DR can be applied to system operation and scheduling actively and flexibly,and promote the absorption of renewable energy.However,there are many types of energy in the integrated energy system,and there are many uncertain problems,which bring challenges to the optimal scheduling.This paper mainly investigates the influence of multiple uncertainties on the optimization of integrated energy system of tenement and the multi-time scale low-carbon scheduling policy considering the comprehensive demand response.The main work is as follows:Firstly,building integrated energy system establishes the energy system consists of electricity,heat,gas and cooling.In the meantime,the thermal delay of the heating building and the heat accumulation of the thermal pipe network are studied.In order to further study,the flexible load on the demand side of buildings adjust the electricity and heat load based on price or incentive signal,which lays a foundation for the following research.Secondly,considering the influence of the uncertainty of photovoltaic output,user response rate and outdoor temperature on the IES operation,the uncertain variables are handled by the fuzzy chance constraint programming,and establishes the operation optimization model of the building integrated energy systems.The simulation results show that user participation in demand response effectively improves the ability and economic cost of the system to absorb renewable energy under the deterministic environment.The operating cost of the system in an uncertain environment increases as the confidence level increases.The decision maker can choose the decision scheme with the minimum operating cost under certain risks according to the actual situation to ensure the stable operation of the system.Finally,considering that the response speed time of electricity and heat load and the settlement period of ladder carbon trading mechanism are different in different time scales,a multi-time scale low-carbon scheduling strategy considering comprehensive DR and reward and punishment ladder carbon trading is proposed.By setting different scheduling periods,the carbon trading mechanism is allocated in a cascade across time scales.The simulation results show that the cascade mechanism of awarding carbon emission quota can significantly reduce the carbon emission and operation cost of the system,and can schedule the electric energy and heat energy in different time scales respectively,and improve the ability of the system to stabilize the fluctuation of source and charge power.