Dynamic Analysis And Operation Scheduling Optimization Of Multi-energy System In Industrial Park

Environmental pollution and energy crisis are increasingly serious in recent times.Developing the comprehensive utilization of energy with higher efficiency is the key to solving the contradiction between increasing energy demand and reducing energy resources.In traditional energy supply mode,planning and control of different energy supply systems are separated.Multienergy system(MES)can realize the effective integration of energy resources through complementarity and energy cascade utilization.It plays an important role in the energy production and consumption revolution.This paper focuses on the dynamic analysis and operation optimization of MES.A multi-energy flow network model is established.Based on the model,the thermal inertia difference between the water-based heating system and steam-based heating system is compared.The potential to achieve peak shaving by utilize thermal inertia of MES is analyzed.Considering the thermal storage,an optimal dispatching model with the objective of optimal operation economy is proposed.The branch and bound method is adopted to solve the mixed-integer linear programming problem.The overall technical route of the optimal scheduling for MES based on Cyber-Physical System is proposed.The main content of this paper is as follows:A comprehensive network model of MES based on graph theory is established.A thermalhydraulic model is established for the fluid network of MES,and a power flow calculation model is established for the electric network.The energy conversion equipment model is also proposed.Furthermore,a joint calculation method for MES is proposed.Based on the simulation model,the thermal inertia difference between the water-based heating network and the steam-based heating network is analyzed,and the feasibility of using thermal inertia to achieve peak shaving for MES is verified.The results show that both the waterbased heating network and the steam-based heating network have large thermal inertia.For waterbased heating network,the thermal delay is approximately equal to the hydraulic delay,while for steam-based heating network,the thermal delay is much greater than the hydraulic delay.The utilization of the large inertia characteristics of the heating system can effectively stabilize the output of the energy conversion equipment and achieve peak shaving.Considering the thermal storage,an optimal dispatching model with the objective of optimal operation economy is proposed and the overall technical route of the optimal dispatching for MES based on Cyber-Physical System is proposed.The above-mentioned theory is applied to the optimal scheduling of a real MES in an industrial park.The simulation model including gas-fired hot-water boiler,ground source heat pump,energy storage water tank,and energy supply network is established.The calculation relative error of the revised model is less than 5%,and the dynamic calculation relative error is less than 10%.Based on the model,the day-ahead optimal dispatching model is used to optimize system operation and scheduling.The results show that the optimization scheme with consideration of thermal inertia of the system can help to save operating cost by 1414 yuan per day.Compared to the original scheme and the scheme without consideration of thermal inertia,the optimization scheme taking into account the thermal inertia shows a better economy and output stability for the system.