Research On Bi-level Coordinated Optimization Of Integrated Energy System Based On Building Virtual Energy Storage Technology

In recent years,with the continuous development of the building economy and renewable energy,various forms of energy supply systems have been integrated on the side of buildings,and the proportion of total energy consumption in buildings has been increasing,at present,most of the building integrated energy systems are not able to plan the building resources properly in the planning and Operation Stages.In this paper,the Integrated Building Energy System as the research object,micro-gas turbine,photovoltaic power generation,electric refrigerator,absorption chiller,energy storage equipment capacity optimization configuration and operation strategy analysis.The main work and conclusions are as follows:1)This paper analyzes the conversion and coupling of energy from the perspective of cold,heat,electricity and gas energy flow.According to the classification of energy supply equipment,auxiliary energy supply equipment and energy storage equipment,the main equipment such as micro gas turbine,photovoltaic power generation,electric refrigerator,absorption refrigerator and energy storage device is mathematically modeled,and the output relationship of various equipment in the system is described.2)A two-level coordinated optimization model of building integrated energy system based on building virtual energy storage technology is constructed.The upper level takes the minimum investment cost of building integrated energy system as the optimization objective.Based on the capacity of the upper level planning,the lower level integrates the virtual energy storage system into the building integrated energy system model,and establishes the optimization model with the lowest comprehensive operation cost.then,the lower-level operation cost is brought into the upper-level programming model,and a bi-level coordinated optimization model of building integrated energy system with minimum investment cost and operation cost is constructed.The upper layer is solved by improved particle swarm optimization algorithm,and the lower layer is solved by mixed integer linear programming.Finally,taking a typical summer refrigeration scene in a certain area as an example,the capacity optimization configuration simulation calculation of a typical building example is carried out,and the optimal capacity configuration and operation scheduling strategy of micro gas turbine,photovoltaic power generation,electric refrigerator,absorption refrigerator and energy storage device in the building integrated energy system under this scene are obtained.The simulation results show that through the charge and discharge management of virtual energy storage,the photovoltaic consumption capacity of the building integrated energy system is improved,the operating cost of the system is reduced,and the overall system economy is improved.3)A multi-objective optimization model of building integrated energy system considering social benefits is constructed.In the process of capacity allocation,the comprehensive operation cost and social benefits of the building in the whole life cycle are considered to be the best.The initial investment cost and operation and maintenance cost are considered in the operation cost.Social benefits include photovoltaic utilization rate,energy saving,low-carbon emission,user satisfaction and peak shaving and valley filling benefits.A multi-objective optimization model with minimum comprehensive income and investment cost of building integrated energy system is established.Finally,taking the winter heating scene as an example,the improved multi-objective grey wolf algorithm is used to solve the problem,and the capacity optimization configuration simulation calculation and analysis of typical building examples are carried out.The results of the example analysis show that the overall economy of the planning,operation and user experience of the building microgrid system is improved by comprehensively considering the objectives of photovoltaic utilization,energy saving,low-carbon emissions,user satisfaction and peak load shifting benefits.