Capacity Optimization For Electrical And Thermal Energy Storage In Multi-energy Building Energy System

Energy Storage devices in building play an important role in effective utilization of renewable energy resources,peak load shifting,and energy cost reducing.Electrical energy storage and thermal energy storage are commonly used in multi-energy building energy systems which contains multiple energy sources and loads.Coordinating the capacity configuration of two kinds of energy storage device is the key to keep the system efficient and energy-saving.However,the capacity optimization of electrical and thermal energy storage involves the coordinated schedule of cooling,heating,and power in the life cycle of building energy systems,so it is a complex optimization problem of multi energy flow with configuration and operation coupling.In view of the above problems,we researched the operation characteristics of electrical and thermal energy storage in multi-energy building energy system,proposed the capacity optimization model and algorithm of electrical and thermal energy storage considering the coordinated schedule of cooling,heating,and power,and developed a hybrid simulation platform for building energy systems.The main work in this paper is as follows:Firstly,the models of a multi-energy building energy system and its modules,photovoltaic,battery,ground source heat pump,and thermal storage tank are analyzed.The capacity optimization for electrical and thermal energy storage is constructed as a bi-level nonlinear mixed integer programming model,including an upper layer configuration optimization model and a lower layer operation optimization model.According to the nonlinear characteristics and the coupling relation between configuration and operation of the model,a two-level algorithm combining the adaptive genetic algorithm with the mixed integer linear programming is designed.Secondly,multi-case simulation is used to verify the effectiveness of the proposed optimization model and algorithm,to analyze the influence of building load structure,grid feed-in limitation and energy storage price on the optimal capacity of electrical and thermal energy storage.Finally,the way to applying energy storage capacity optimization method is presented,including planning stage and realistic operation stage.In order to simulate the optimal scheduling process of actual systems,a hybrid simulation platform for building energy systems is designed and developed,and the simulation results demonstrate the practicability and feasibility of the optimization method.