Day-ahead and Real-time Congestion Management of Active Distribution Network Based on Distribution Location Marginal Price

Under the background of increasing distributed energy resources raising in the active distribution network and the advancing power market reform, the network congestion caused by high proportion of DERs cannot be ignored. To deal with this problem, this paper proposed a day-ahead and real-time congestion management model based on the distribution location marginal price (DLMP). In the day-ahead stage, the aggregators firstly predict the day-ahead market price and collect relative DERs information. Secondly, the distribution system operator (DSO) receives data from aggregators and distributes DLMPs to all aggregators with the goal of minimizing the consumed energy expenditure while meeting the network constraints. Finally aggregators make the day-ahead transaction scheme based on DLMP. In the real-time stage, the aggregators regulate the deviation of the day-ahead transaction with the more accurate prediction of the DERs based on the updating DLMP from DSO. Finally, the simulations were implemented by using the IEEE 33 bus system, and the results show that the proposed congestion management model can effectively solve the network congestion of the active distribution network both in the day-ahead and real-time stages, which avoids line overloading and node voltage beyond the limitations.ons.