Optimal Dispatch Research Of Multi-Energy System

Integrated energy system is the comprehensive integration of development,supply,transportation and energy consumption.It involves advanced information and communication technology,intelligent control and optimization technology,which can realize energy optimization decision-making and overall coordination.The energy coupling of cold,heat,electricity and gas,which can meet the needs of users for a variety of energy sources such as cold,heat,electricity,achieve multi-level utilization of energy conversion and improve energy efficiency,thereby reducing system operating costs and reducing pollution emissions.But,due to the uncertainty of renewable energy output and load,integrated energy system optimal dispatch has become more complicated.The current optimal dispatch strategy uses a specific optimization method for dealing with the single uncertainty.When dealing with multiple uncertainties,the different characteristics of multiple uncertainties are usually ignored.One-sided use of an optimization method cannot systematically describe the impact of multiple uncertainties on system optimization dispatch.At the same time,the current research focuses on the time domain uncertainty of prediction error and the setting problem of the corresponding dispatch model objective function,ignoring the important role of the time-frequency domain characteristics of renewable energy output data for optimizing the dispatch strategy.Therefore,this paper mainly studies the optimization dispatch of integrated energy systems,specially,under uncertain environment.The main contents are as follows:(1)A day-ahead optimal dispatch model based on mixed integer quadratic programming is established,when studying the optimal dispatch of integrated energy system under certain environment.Considering the impact of the energy storage system on the operating cost of the system,it aims to verify the feasibility and effectiveness of the integrated energy system model with multi-energy storage,and lay the foundation for the study of the optimal energy system uncertainty dispatch strategy.(2)Considering the multiple uncertainty modeling in the integrated energy system,a day-ahead optimal dispatch model based on interval linear stochastic chance constrained programming is established.The model is transformed into a deterministic model for solving,and compared with the stochastic chance constrained programming model and the interval linear programming model,which aims to verify model performance and applicability.(3)Considering the fluctuation of renewable energy output in terms of time-frequency characteristics of renewable energy output prediction data,an adaptive selection method based on data-driven optimal dispatch time-step is proposed and a day-ahead optimal dispatch model of integrated energy systems based on adaptive hybrid dispatch time-step is established.The method is compared with the day-ahead optimal dispatch model with fixed time steps,which aims to verify the feasibility and applicability of the proposed model.