The Research On Construction And Optimization Of Distributed Energy Systems

As a total energy system distributed energy systems (DES) makes theprimary energy efficiency has been greatly improved under the "temperaturecounterparts, cascade utilization " principle, not only to improve the economyefficiency of the system but also to reduce the pressure on the environment. Inrecent years China more and more pays attention to the distributed energysystems and a series of policies have been proposed to facilitate the developmentof distributed energy systems, but it is not enough for the development ofdistributed energy systems, on the basis the corresponding technical support isneeded, especially in the optimization and scheduling of distributed energysystem, facts have proved that legitimately optimal allocation and scheduling iscrucial to give full play to the advantages of distributed energy systems. Theoptimization and scheduling of distributed energy system is not only relates to device characteristics but also relates to the environmental characteristics andthe user dynamic load characteristics, it must guides system optimization fromseveral aspects and comprehensive consider the economic characteristics, em-ission characteristics,energy-saving features. So it becomes more and more tendto multi-objective optimization for distributed energy system. In this paper, thedistribution energy system is configured with gas-steam combined cycle andsolar photovoltaic, energy storage device etc and multi-objective configuringand scheduling optimization of DES with bilevel programming algorithm: in theupper the multi-objective algorithm base on non-dominant genetic algorithmwas applied to solve the configuring optimization; In the lower thesingle-objective algorithm base on single objective genetic algorithm combineddynamic programming algorithm was applied to solve the schedulingoptimization. And the optimal pareto solution would be output, then analysisingresults from three aspects of energy efficiency, economy and emissions.(1) in the section the distributed Energy System is configured with gas-steam combined cycle and solar photovoltaic, energy storage device, absorptionheat pump, electric compression heat pump Etc, and all the characteristicsmodels of each device would be given with considering the effect of ambienttemperature and part load rate of equipment.(2) in this section the system optimization model would be described,and analysis the layer goals and constraints of the multi-objective bilevelprogramming algorithm, then the NSGA-â…¡ algorithm, dynamic programming and pareto optimal solution set would be highlighted. Also a total annual cost,net present value, payback period, annual emissions relative reduction rate ofprimary energy utilization rate of primary energy savings, economic exergyefficiency evaluation criteria would be established.(3) One large apartment in Beijing was calculated and simulated bythe software of DeST to get the date of the building dynamic loads and thedistribution of ambient temperature and solar radiation. In this paper, the Matlabis used to construct mathematical model and optimize the system according tothe annual hourly load. Then we will select three results form the pareto optimalfront and evaluation the them by total annual cost, net present value, paybackperiod, annual emissions relative reduction rate of primary energy utilizationrate of primary energy savings, economic exergy efficiency. Finally the emissioncharacteristics of the system and the impact of natural gas prices and electricityprices on the net income would be analyzed...