Day-ahead robust optimal dispatch of micro-energy networks considering source-load uncertainty
Micro-energy networks integrate distributed energy systems,multiple loads and control devices in parks or communities.Micro-energy networks are capable of realizing multi-energy cogeneration and co-supply functions,which are conducive to enhancing the operational flexibility and economy of multi-energy networks.To effectively cope with the uncertainty of load and new energy output within the micro-energy networks,a polyhedral uncertainty set is established to portray the fluctuation of load and photovoltaic output.An energy hub(EH)coupling matrix describing the topology of micro-energy networks and the coupling relationship between the energy flows is constructed.Then,a two-stage robust optimization economic dispatch model is established for micro-energy networks in both grid-connected and islanded operation modes to minimize the system operation cost.Linear decision rule(LDR)and duality theory are used to develop model-solving strategy.Finally,a case is carried out using micro-energy networks based on improved IEEE 33-node distribution network.The results show that LDR can effectively approximate the relationship between decision variables and uncertain variables through linear affine function within a certain accuracy range,which reduces the difficulty of solving the two-stage robust optimization economic dispatch model.