Distribution robust expansion planning model for integrated natural gas and electric power systems considering transmission switching

As for stochastic optimization is commonly used to deal with the uncertainty of load demand growth in the expansion planning model of integrated natural gas and electric power systems, and the loss of scene information, these may result in uneconomic or conservative decisions. Based on this, a two-stage distribution robust expansion planning model for integrated natural gas and electric power systems is established, which takes the overall cost of system as objective function and considers transmission switching. In the first stage, the expansion planning model is constructed by considering integrated energy load forecasting and transmission switching. In the second stage, the distribution robust model is constructed under the condition of uncertain integrated energy load demand, which takes the regulation of units' output and natural gas flow into account, and the uncertain probability distribution set adopts 1-norm constraint. The proposed model is solved by column and constraint generation algorithm, and its effectiveness is verified by IEEE-RTS24-bus system and Belgian 20-node system. The results show that the distribution robust model can provide flexible decision-making schemes based on a larger confidence interval when the information is limited, and it is superior in dealing with the uncertainty problem of load demand growth. © 2021, Electric Power Automation Equipment Press. All right reserved.