Study On Coordinated Optimal Scheduling Of Regional Multi-Energy Systems Considering Source-Load Uncertainty

With the development of economy,more and more attention has been paid to the energy problem.Regional multi-energy system can jointly dispatch and supply kinds of energy,such as electricity,gas,heat and so on,which improves the efficiency of energy utilization and reduces the loss of energy.In the scheduling process of regional multi-energy system,the uncertainties of the output of new energy and various load demands,as well as the uncertainties of power balance caused by the operation of energy coupling equipments in the system and the operation of each energy sub network itself,will affect the power balance of regional multi-energy system.This poses a huge challenge to the optimal scheduling of regional multi-energy system.Aiming at meeting the needs of optimal scheduling of regional multi-energy system considering these uncertainties,this dissertation makes an in-depth research on the optimal scheduling of regional multi-energy system from three aspects: modeling of the regional multienergy system,day-ahead optimal scheduling considering uncertainty,multi-time scale coordinated optimal scheduling considering uncertainty.The main work of this dissertation is as follows:Firstly,the regional multi-energy system is modeled.The regional multi-energy system studied in this dissertation is mainly composed of wind turbines,photovoltaic units,p2 g units,energy storage devices and other basic units,which are the basis of realizing the optimal scheduling of the system.Therefore,this dissertation models each basic unit and each energy sub network in the regional multi-energy system,and analyzes their operation characteristics and constraints,which lay the foundation for the following work.Secondly,the optimal scheduling of the regional multi-energy system in day-ahead time scale,which is based on the hybrid stochastic interval optimization method,is studied.This dissertation analyzes the uncertainties of the output of new energy,load-demand and energy sub network operation in day-ahead time scale.In order to solve the impact of these uncertainties on the optimal scheduling of the regional multi-energy system in day-ahead time scale,this dissertation uses the hybrid stochastic interval optimization method to interval the uncertain data in the system,and establishes the day-ahead optimal scheduling model of the regional multi-energy system based on the hybrid stochastic interval optimization.Then,a two-stage algorithm is used to solve the optimal scheduling model,and the optimal scheduling operation interval of the regional multi-energy system in the day-ahead time scale is obtained.The effectiveness of the optimal scheduling model is verified by the analysis of an example.Last but not least,coordinated optimal scheduling of the regional multi-energy system in the multi-time scale is studied.There will be deviations between the day-ahead optimal scheduling and the actual demand,so this dissertation establishes a multi-time scale rolling optimal scheduling model,which is based on the day-ahead optimal scheduling,to meet the actual demands.In this dissertation,the framework of the multi-scale optimal scheduling of regional multi-energy system is constructed firstly.Then,the uncertainties of regional multi-energy system are analyzed and expressed.The target of scheduling is the best economic operation of the system.Lastly,the model of multi-time scale coordinated and optimized scheduling considering the uncertainties is established.Through the daily rolling optimization scheduling and the real-time modification scheduling,the optimal scheduling is adjusted step by step to reduce the impact of uncertainties on the optimal scheduling.Finally,an example is given to verify the economy of the optimal scheduling.