Online Calculation of Affine Arithmetic-based Optimal Power-gas Flow for Tracking Real-time Changes in Source and Load
With the gradual increase of renewable energy penetration,the operation situation of the integrated electricity and gas system becomes more complex and variable.An affme arithmetic-based optimal power-gas flow online calculation approach is proposed to respond to the real-time changes of source and load.Firstly,a natural gas dynamic model is constructed using the Taylor expansion and implicit finite difference method,and the model's accuracy is improved by using a flow velocity base value adaptive correction method.Then,affine arithmetic is utilized to describe the source-load uncertainty of the system,the optimal energy flow is expanded from the deterministic domain to the affine domain,and the affine arithmetic-based optimal power-gas flow model is established.On this basis,the affine analytical expression of the optimal dispatch scheme concerning the noise symbol is obtained through offline optimization,and the real-time change of source and load using the noise symbol is tracked to obtain the decision-making scheme online.The proposed method can meet the needs of real-time dispatching by making quick decisions based on immediate information.Finally,the case studies verify the accuracy of the proposed dynamic model and show that the dispatching performance of the proposed online method is close to the optimal dispatching with complete prediction information.
integrated electricity and gas systemoptimal energy flowsource-load uncertaintyonline calculationaffine arithmetic-based optimization
万方数据
维普
