Collaborative Energy Management Of CHP-based Smart Buildings

As a novel ramification of the the demand response(DR)and the technology of smart buildings(SBs),Building Energy Management System(BEMS)has played an important role in smart grids.Under the assiatance of moder conmmunication technology,BEMS is able to interact with user-side consumers by receiving consumption information and coordinating multi-energy system,which is beneficial to improve overall energy efficiency of the SBs.With the generalization of smart grid and 'Energy Internet',SBs are supposed to be an important part in future intergrated energy system.Based on Distributed Thermoelectric Cogeneration Generation System,Combined Heat and Power(CHP)system could not only supply electrical and thermal load to users,but also reduce pollution emissions effectively.Having advantages in easy control and regulation,small volume and stable output,CHP system would undoubtly bring a great deal of economic and social benefits to the whole society.However,the current researches mainly focus on the optimization of power subsystem while ingore other types of energy-such as heat,cool and gas's potential of being regardes as novel demand side resources in intergrated energy system.In this thesis,a multi-party energy management framework with electricity and heat demand response is proposed for the CHP-based smart buildings.Firstly,in order to avoid energy wastage in traditional CHP system working under the following the thermal load(FTL)or following the electric load(FEL)mode,an innovative hybrid mode is adopted by the CHP operator considering the supply-demand and real-time prices,which is helpful for operator to increase his profit.Secondly,to decide the internal electric and thermal prices,an optimization profit model of buildings operator is formulated including cost of gas,income of energy sold to the consumers,and incomes of surplus electricity fed to utility grid.Moreover,the building energy consumers are equipped with shiftable and cuttable loads,which could arrange their consumption strategies spontaneously by responding to the internal prices set by the operator.The trading process between the operator and consumers is designed as an one-leader,N-follower Stackelberg game,the existence and uniqueness of the Stackelberg equilibrium and relevant algorithm and its convergence are proved.Finally,the case study of a CHP-based system containing 6 building users is provided to show the effectiveness of the proposed method.