Research On Optimal Dispatch Of Integrated Energy System Considering Source And Load Uncertaint

The survival and development of human society is inseparable from energy.With the gradual improvement of traditional primary energy consumption and people’s awareness of environmental protection,The development and utilization of clean and renewable energy has become the focus of current research.In this context,a new integrated energy model integrating traditional energy,clean new energy and renewable energy came into being,namely integrated energy system(IES).At the same time,the concept of "energy Internet" has been put forward,and The characteristics of coupling and complementarity between various types of energy have been applied,.The concept of integrated demand response(IDR)has also been put forward by many scholars,which is defined as the further integration and development of traditional demand response(DR)in the integrated energy system.Relying on the deep coupling of various types of energy in the integrated energy system,the integrated demand response guides the end users to change the energy consumption mode through incentive or price mechanism,so as to reduce the peak and fill the valley and improve the energy utilization efficiency.Firstly,the integrated energy system and integrated demand response are summarized,the framework of integrated energy system required in this paper is proposed,and the mathematical models of energy conversion and energy storage elements included in the model are introduced,and put forward the constraints on the operating output of relevant equipment,which lays a foundation for the analysis of the optimal dispatching model of integrated energy system considering the source and load uncertainty in the subsequent chapters.Secondly,an integrated energy system optimal scheduling model considering integrated demand response is proposed.Based on the supply-demand balance constraints of power,gas and heat loads on the demand side in the dispatching cycle and the upper and lower limits of output of each unit,the objective function is to minimize the operation cost of the system.Considering the different integrated demand response strategies used in the scheduling process,this paper discussed them respectively,and explores their impact through numerical examples,so as to reduce the system scheduling cost.Finally,aiming at the uncertain factors such as load forecasting,wind power photovoltaic output and user participation in integrated demand response in the process of IES scheduling,fuzzy theory is introduced,fuzzy parameters are used to fit and replace the uncertain parameters,and the relevant constraints are expressed as fuzzy chance constraints to participate in the system scheduling.The fuzzy chance constraints are transformed into clear equivalence classes,which are solved and analyzed through the optimal scheduling algorithm.In order to verify the feasibility and effectiveness of the proposed model and algorithm,the typical days of IES in different regions are selected for different models.Analyze the coordinated output of each unit,wind and solar energy consumption,confidence level of fuzzy parameters and dispatching cost.The results show that the optimal scheduling model of integrated energy system considering the source load uncertainty can effectively reduce the operation cost and realize the energy conservation and emission reduction of the system.