Operation Optimization Strategies Of Residential Quarter Energy Hubs And Home Energy Hubs

Advances in new energy technologies and information technology can change the pattern of energy utilization,promote the mergence of multiple kinds of primary energies and end-use energies in a complex multi-energy system,realize the sustainable development of society and environment.Energy hub is the most important model in analyzing the multi-energy system.With the progress in energy utilization,the energy management in energy hub has attracted extensive attention.Residential energy consumption plays an important role in demand-side energy management.Given this background,the mathematical model of a home energy hub(HEH)is presented first,with the micro Combined Cooling,Heat and Power generation(mCCHP)as the energy conversion device.Then,electrical loads are classified into temperature-controlling loads,inflexible loads and flexible loads,and their mathematical models developed with their characteristics considered.Then,thermal loads are classified into hot water demand,air heating/cooling demand and convertible loads between electricity and gas,and multiple types of thermal load models developed.The concepts of thermal comfort and electric comfort are next introduced and employed to control the temperature in the home energy hub.On this basis,the home energy hub with thermal comfort and electric comfort considered is modeled as a mixed integer linear programming problem with the objective of minimizing the total energy cost.Finally,a typical winter day and a typical summer day of a household are employed to demonstrate the essential characteristics of the developed method.The popularization of combined heat and power generation and electric heating has attracted extensive attention in recent years.The main energy demands in a residential quarter are heating demands and electricity demands,and the energy hub can be used to descript the coupling relationship between the energy demand and the energy input.Given this background,a mathematical model for the residential quarter energy hub is presented first,with the combined heat and power generation and the heat pump as energy devices.Then,the deterministic model of the residential quarter energy hub operation optimization is constructed,and the charging load of electrical vehicles is considered as a controllable load.Energy demands are uncertain,and various decision-makers may have different risk preferences in determining optimal operation strategies.With this consideration,the information gap decision-making theory is employed to develop the robust optimization model and the opportune-windfalling model respectively for risk-aversion decision-makers and risk-preference decision-makers,and mixed integer linear programming formulations are attained and solved by the well-developed CPLEX solver.Finally,a residential quarter is employed to demonstrate the essential characteristics of the developed method.Under the electricity market environment,it is necessary to consider the influence of the uncertainty of electricity price on the scheduling strategy of energy hub.A robust optimization model of energy hub is constructed in this thesis considering the uncertainty of electricity price,and AMPL/CPLEX is adopted to solve this model.With the robust optimization model,cooperative scheduling strategies to attain a specified low economic risk level at the discretion of the energy hub can be employed.Finally,the research outcomes of this thesis are summarized and possible future research topics indicated.