Research On The Optimal Configuration Of Integrated Energy System For Regional Microgrid

With the continuous increase in energy demand for social development,the use of traditional fossil energy has brought about environmental problems that cannot be ignored.At the same time,the limitation of traditional fossil energy has forced the search for new energy outlets.On the power generation side,clean and renewable energy power generation such as solar and wind power is used instead of fossil energy power generation,and “re-electrification” on the user demand side becomes an inevitable choice.The integrated energy system can make use of multiple resources in the region,give full play to the characteristics of multi-energy coupling and complementary,make fuller use of renewable energy and improve energy efficiency.The reasonable and optimal configuration of the integrated energy system is of great significance for investment decision-making and optimized operation.First,the development process and research status of the optimal configuration method of the integrated energy system are described.The typical physical architecture of the integrated energy is selected,the energy flow characteristics of the integrated energy system are analyzed,and the equipment model of the integrated energy system is established.Aiming at the problem of dealing with wind and wind uncertainty when the integrated energy system is optimally configured,the Copula function is used to describe the wind and wind correlation,and the Markov Monte Carlo sampling and sorting method is used to maintain the wind and light autocorrelation of the sampled data,and then the K-means clustering to obtain multiple scenes.Based on the obtained typical daily scenarios,a two-tier optimal configuration model is established that takes into account the annu al comprehensive cost and exergy efficiency of the environmental penalty cost and the reliability penalty cost.The upper model determines the number of equi pment to be selected and transmits it to the lower operating model,and the lower model Optimize th e output operation of each equipment.Through the analysis of numerical examples,the effectiveness of the proposed sampling and sorting method and the multi-objective optimization configuration method are verified.Aiming at the problem of coordinated planning of station and network,a multi-energy station "station-network" coordinated planning that takes into account the load characteristics of the load cent er when dividing the energy supply range of energy stations is proposed.According to the local road network map,the Dijkstra algorithm is used to calculate the distance between the load center and the integrated energy station.Then adopt the Monte Carlo simulation combination sampling method proposed in this paper to sample the energy supply division range of different integrated energy stations,calculate the corresponding combined station network planning cost,and select the optimal value.The effectiveness of the “station-network” collaborative planning considering the load characteristics of the load center is verified through the analysis of a numerical example.