Research On Energy Demand Of Multi-energy And Applied Pattern Of Distributed Generations

To meet the challenges of sustainable development about society,such as energy security,environmental pollution change,we should speed up energy transformation,develop and utilize clean energy on a large scale,optimize the energy structure,improve energy efficiency,improve the,ecological,environment and achieve clean development.In this trend of energy development,the promotion of multi-energy complementary energy using mode has played a crucial role in the above problems.In the context of the promotion of multi-energy complementary energy forms,this paper studies the trend of multi-energy complementary energy demand and how to use distributed generation better.The content of this paper is as follows:The non-linear dynamic system is used to study the 3D energy demand model,which expresses the timing relationship between the energy demand gap,the energy import and the provincial energy transfer,The model takes into account factors such as elasticity of energy consumption,energy supply rate,future energy demand feedback,energy import costs and benefits,and analyzes the equilibrium point of the system.On this basis,the energy demand data in Tianjin is taken as an example to analyze the stability,periodicity and chaos of energy demand system under the numerical simulation of different parameters;Based on the historical data,the three-dimensional demand system is identified for all the parameters,based on the fitted parameters,the energy demand gap,energy import and energy transfer volume in Tianjin from 2016 to 2035 and their long-term timing characteristics are obtained.Researching the demand of distributed generations on the basis of analyzing the trend of energy demand,the structure of multi-energy complementary energy is optimized.Taking into account the characteristics of fossil fuels with increasing cost and the learning curve effect of renewable energy cost,the cost function of various energy sources is established by fitting the data of various energy capacities and costs;and then calculate the return expectancy and risk of the energy portfolio,through portfolio theory calculate the optimal portfolio along the effective frontier to derive the best energy ratio at the selected risk.Also taking Tianjin as an example,according to the result of the previous example that calculates the energy demand certainly,the ratio of energy supply in 2016-2025 and 2035 and the supply of various energy sources have achieved the effect of optimizing the energy structure,the development potential and demand of distributed generations.Analyzing the applied occasion of distributed generation,the selection of supply kinds and configuration of distributed generations.Considering the operating characteristics of various distributed power sources,especially the cooling,thermal and variable load provide by CCHP system;And energy storage under the constraints of reasonable charging and discharging strategies,based on the different depth of discharge,actual cell capacity and cumulative operating throughput of different depreciation costs,then give the operating optimization model of distributed power supply based on operating cost;And after trying various algorithms,we get an improved DE algorithm suitable for this model,which as the optimization algorithm of it.Based on the optimization model of distributed power application,taking the park as the case,through the load characteristic of the user side to analyze the configuration of distributed generation,using a micro-grid demonstration project in Tianjin as an example,firstly,the load characteristics of the demand of the project,the operation data of the variable working conditions of various distributed power sources in the park are fitted,then optimized the operation cost of this project and get the result of minimize output of each distributed power after optimization.The calculation results are analyzed from the following aspects;The calculation speed and convergence of the optimization algorithm are analyzed;the curve of PV power of each distributed power source under three kinds of storage life conditions is simulated and analyzed;the validity of the distributed energy constraints proposed in this paper is verified;Contrasting with the actual operation data of the project,the effect of the model as a whole in reducing the operation cost and improving the energy utilization efficiency is verified.The results show that the above aspects have achieved good effects.