Optimal Scheduling Of Electric-Gas Interconnected Energy System Considering Demand Response

In recent years,countries around the world are facing problems such as energy crisis and fossil fuel exhaustion,as well as the high penetration rate caused by a large number of DG access to the distribution network.Therefore,the concept of EI came into being and became an important key to solving problems,and it is the model for the development of a new generation of energy in the future.Compared with other general primary energy sources,natural gas is cleaner and more environmentally friendly.In terms of energy transmission,its network has similar attributes to the traditional power network and can be more closely connected with the power network.The electricity-gas interconnected energy system IEGES has gradually become an important starting point for studying the development of the energy Internet,so the research on the energy supply and transmission characteristics of IEGES has far-reaching significance.Based on the above background,the paper has done a certain research on the related issues of IEGES,mainly from the following points to carry out the corresponding work:A planning model of the electricity-gas interconnected energy system is proposed.First,establish a constant power mathematical model of distributed energy represented by wind power and photovoltaics.Then,using the Distflow branch power flow form of the radial distribution network,the power grid-side dynamic optimization model is established,and the corresponding natural gas-side network model is established at the same time.Finally,the P2 G and the NGFP are established to construct a closed-loop operation structure between the power grid and the natural gas system as a whole.Established an optimal configuration model of IEGES that takes into account demand response.First,construct an objective function including the cost of electricity purchase,gas purchase cost,and the cost of abandoning wind and light.Then,comprehensively consider the power-side price-based demand response model.Modeling and sorting out natural gas source points,pipeline equations,power-side branch equations,voltage and current equations,etc.,and linearizing the square terms in the equations through the SOCP method,The MINLP problem is transformed into the MILP problem.Through simulation of calculation examples,comprehensive comparison and analysis of cost and abandonment rate of wind and light,the results show that the IEGES formed by the coupling of power grid and natural gas grid is obviously reasonable and feasible,and the participation of demand response will further reduce operating costs and increase distribution.Energy consumption.Developed IEGES robust optimization research taking into account the uncertainty of source load.On the power grid side,make statistical forecasts based on historical data in typical regions,formulate decision-making plans under severe scenarios,and use scenario screening rules to introduce the uncertainty set of distributed energy;on the load side,establish consideration prices for electrical and gas loads.Load response model of electricity-gas demand side with constraint coefficients.Then,taking profit maximization as the objective function,the Mc Cormick method is used to linearize the bilinear term.Finally,through calculation examples,analysis and comparison of the model’s profit,electricity-to-gas capacity and curtailment rate,as well as the robustness of the system,verify that the model has great advantages in absorbing new energy and strengthening the coupling of electricity-gas systems,and can better deal with the volatility of distributed energy.