Research On The Optimal Dispatch Of Multi-Energy Interconnected Microgrid With A Combined Heat And Power System

With the rapid development of the energy internet,power systems and thermal systems are closely related and closely linked.The CHP microgrid has received more attention.In this paper,the CHP microgrid is interconnected with the power grid and heating network,and a multi-energy interconnected micro-grid system is established.The system is electrically and thermally combined to make the micro-grid more flexible and controllable,which improves energy efficiency and realizes social energy integration.Dispatch and comprehensive utilization have promoted the development of the energy Internet.In order to reduce the emission of polluting gases and relieve environmental pressures,this paper establishes a multi-objective optimization scheduling model that takes into account the economic costs and the minimum environmental costs.Firstly,the basic structure of the CHP micro-grid system is analyzed,the working principle of each distributed unit in the micro-grid is studied,and the mathematical model of each unit is established.The combined heat and power supply characteristics of the combined heat and power unit were introduced,and the operating characteristics of the electric energy storage and heat storage energy and the regulation effect on the system were analyzed.The thermoelectric conversion characteristics of the electric boiler were also analyzed.Secondly,a microgrid including a combined heat and power system for wind turbines,photovoltaic cells,fuel cells,micro-turbines,and bromine coolers,electric boilers,electric energy storage,and thermal energy storage was established to interconnect the power grid and the heating network.A multi-energy interconnected microgrid system with a CHP system is formed.Considering the economic cost of the system and the minimum cost of the environment comprehensively,a multi-objective optimization scheduling model of the system is established.The model was solved using Multi Objective Bacterial Colony Chemotaxis(MOBCC)algorithm.The simulation results compared and analyzed the economic and environmental costs of the system under different scenarios,and proved the role of the electric boiler in accelerating wind power consumption.At the same time,theinfluence of different initial state of charge(SOC)of the energy storage system on the system operation is analyzed.Finally,the uncertainties of wind power output are taken into account in the system model.A multi-objective robust optimal scheduling model for multi-energy interconnection is established,and the effective objective function is calculated using the Latin hypercube sampling method.The MOBCC algorithm was used to solve the model,and the Pareto solution set was obtained.The simulation results were analyzed to understand the good robustness and the impact of the wind power prediction error range on the optimization results.