Optimization Of Integrated Power-Gas Energy System Considering Carbon Emission And Demand-Side Response Uncertainties

In response to the national "dual carbon" policy,the integrated energy system composed of wind power,photovoltaic,electric energy and natural gas energy has become a research hotspot.Comprehensive energy distribution system has a lot of carbon emissions,high power fluctuation,high power loss and demand side load fluctuation,so it is necessary to study the optimization of its operation.Based on the integration of wind power,photovoltaic energy storage electric-gas energy distribution network system as the object,and the tube to save the dynamic characteristic of the gas in the system,the demand side response to uncertainty,and days before many time scale optimization scheduling,in order to reduce carbon emissions,reduce system operating costs and operational risks,improve the reliability of the system,has the good theoretical and engineering significance.In order to reduce carbon emissions and improve the absorption capacity of new energy,the principle of carbon capture equipment and electricity to gas equipment is studied,including three kinds of demand-side response loads that can be reduced,transferred and replaced,and including carbon trading mechanism.A day-ahead optimization scheduling model of windopto-electric-gas-storage integrated energy distribution network system was established with the comprehensive optimization objectives of the least carbon emission,the lowest comprehensive operation cost,the least amount of wind abandoning,the least amount of light abandoning and the lowest network loss.In order to minimize the fluctuation of wind power and photovoltaic power generation prediction error,the model predictive control theory was used to feedback and correct the prediction error of wind power and photovoltaic power generation,and the intra-day rolling optimization scheduling model of integrated energy distribution network system was established.Simulation experiments were carried out on the modified 33-node distribution network and 20-node distribution network,which verified that the proposed model could effectively reduce carbon emissions,improve the absorption capacity of wind power and photovoltaic,smooth the load curve,and reduce the comprehensive operating cost of the system.In order to reduce the risk of system loss of load and improve the accuracy and reliability of the system,an integrated energy distribution network system based on blu rod scheduling is studied,taking into account the natural gas pipeline storage characteristics and demand side response uncertainty.The flow model was transformed into a linear model by linear reconstruction and improved second-order cone convex relaxation method.Aiming at the uncertainty of demand side response load,the fuzzy set of uncertain variables of demand side response load was constructed by using Waserstein distance splitting rod optimization method,and the inequality constraints containing uncertain variables were reconstructed by combining opportunity constraints.Through duality transformation and conditional value at risk approximation,the non-convex nonlinear optimization model is transformed into a conventional linear programming problem and solved.Simulation experiments are carried out on the distribution network system composed of the modified 33-node distribution network and 20-node distribution network,and it is verified that the proposed model can effectively buffer load changes,smooth gas turbine output,and reduce the system loss and load loss risk caused by load fluctuation.