Research on Optimal Dispatching of Active Distribution Network Based on Conditional Value at Risk

The integration of large-scale renewable distributedpower supply will change the power flow distribution ofdistribution network, which leads to the possibility ofovervoltage and line blocking during the system operation. Inthis paper, the conditional value at risk(CVaR) theory is usedto construct the risk assessment indexes of voltage overrun andpower flow overrun. The optimization scheduling model ofactive distribution network(ADN) considering CVaR securityconstraints is established to pursue the economic optimizationon the basis of ensuring the safe operation. In order to verifythe rationality and superiority of the model and methodproposed in this paper, the simulation calculation is carriedout on the improved IEEE33 node test system. The resultsshow that the scheduling model can objectively reflect thesystem operation risks, control the system risks within theallowable range, and ensure the safe and economic operation of ADN