Optimal Operation Study Of Energy Hub In Energy Internet

The increasingly worse fossil energy shortages and environmental pollution force people to study the coordinated and optimized operation between various energy resources such as natural gas,electricity,and heat.Energy Internet has gradually replaced the traditional energy supply method for its ability to break the barriers between energy resources in production and consumption.That’s where the concept of energy hub has emerged as the times require.In order to realize the coordinated operation of multiple energy resources in the energy hub,wind power is added to the energy input side and the heat-to-electric ratio regulation principle of combined heat and power(CHP)unit is analyzed to set an energy hub optimization model and comprehensive benefit evaluation system for the research on the optimal operation of the energy hub in this paper.First,a basic mathematical model of the energy hub including energy production and conversion equipment is constructed.On this basis,the heat-to-electric ratio regulation principle of CHP is analyzed to further establish an energy hub model considering the adjustable heat-to-electric ratio.As for the uncertainty of wind power output on the energy input side,an improved k-means clustering typical scenario reduction method based on the data set is adopted,which uses several representative wind power output scenarios and corresponding probabilities to describe wind power output feature.Then,based on these wind power output scenarios,a bi-layer optimization model of the energy hub that considers the adjustable heat-to-electric ratio is constructed,whose upper layer aims to maximize economic benefits,and the lower layer to maximize energy efficiency,and the relationship between energy factor distribution of the energy hub and the internal operation of equipment is established.The K-T condition is used to transform the lower model into a constraint condition and add it to the upper model,so that the bi-layer optimization is transformed into a single-layer optimization,which is solved by heuristic algorithm.After adjusting the CHP heat-to-electric ratio according to the energy demand for different seasons,the economic benefits and energy efficiency of the energy hub will be improved to a certain extent with the wind power connected.The validity of the model built in this paper can be verified by an example simulation.In order to fully evaluate the comprehensive benefits of the energy hub,this paper also constructs a comprehensive benefit evaluation system that includes economic,energy consumption,environmental and social indicators.According to the G1-anti-entropy method comprehensive benefit evaluation model,the subjective and objective weights of the indicators is calculated respectively,the combination weights of the indicators are calculated based on the least square method,the improved grey relational analysis and evaluation method is combined to the comprehensive benefit evaluation of the energy hub.The operation scheme of the energy hub is comparatively analyzed and evaluated by the evaluation results.