Research On Optimal Configuration Of Integrated Energy Microgrid

With the proposal of the "Internet+" action plan,intensive,environmentally friendly and sustainable energy use mode has become the main development direction of microgrids.In traditional energy systems,the energy,heat,and cold energy subsystems are often independent at the design,planning,operation and control levels.They do not effectively utilize the complementary characteristics of energy resource and achieve overall coordination,resulting in low energy utilization.Through the coupling of natural gas,electric power,heat and cold and other energy sources,the integrated energy microgrid can realize the organic coordination and optimization of various energy links,and the efficient utilization of renewable energy to meet the various energy needs of users,which provides new solutions to these problems.Optimal configuration of integrated energy microgrid is a key link in its construction.The core is to plan and coordinate all kinds of resources to optimize the system’s cold/heat/electricity/gas energy consumption and satisfy users’ multiple energy needs.This paper first establishes a regional integrated energy microgrid system architecture based on energy hubs from the energy input side,energy coupling part and energy output side.The energy interaction structure with multi-energy network and the models of configuration resources are established including the wind turbine,photovoltaic cell,gas turbine,electric heat pump,etc.On this basis,a multi-objective optimization configuration model and corresponding constraints are proposed,which includes four aspects of reducing economic cost,reducing environmental pollution,improving energy supply reliability and reducing interaction power fluctuation.To achieve the economical,environmentally friendly,reliable and safe multi-objective comprehensive optimization of the system configuration scheme.The model considers the energy interaction factors between the system and the energy bus(electric/heat network),and the optimization strategy based on the fuzzy theory is solved in two layers.The shortcomings of traditional single intelligent algorithm are solved by cloud model-based adaptive quantum genetics hybrid algorithm to achieve optimal configuration and optimal operation of various devices.Finally,three kinds of configuration schemes,i.e.the traditional system with independent planning,the integrated energy microgrid with only electricity trading and other with electricity and heat trading,are compared and analyzed through an example in a northern region,the results verify that the last one has better comprehensive benefits.The output of multi-energy equipment in each scenario is analyzed,the model is proved to effectively achieve multi-energy complementarity and energy consumption optimization.The energy interaction behavior and energy transaction are further discussed.The results show that the model is effective for reducing cost and avoiding energy waste,taking into account the factors of electricity and heat transaction.