Analysis And Reconfiguration Of Smart Distribution Network With Distributed Generation

Smart distribution network with the character of self-healing is tendency offuture grid. There are some problems in distribution network of China for a long time,which are low use ratio of equipment, low reliability of power supply, high line lossand so on. The self-healing control of smart distribution network is core technology tosolve these key problems. It is key technology to solve a large number of integrationof distributed generations, and it is inevitable choice of development of modern powersystem technology. In this paper, the calculation, analysis and reconfiguration of smartdistribution network with distributed generation are studied. The purpose is to analyzethe impact of distributed generation on key operation features of distribution network,especially, whether the system under various operation conditions satisfiesself-healing control demand of future smart distribution nework or not. OpenDSS is acomprehensive distribution power system simulation tool, which is widely used atpresent. It provides abundant simulation and calculation functions containing variousdistributed generation models, storage element model and various analysis andcalculation modes. It is important basis to realize distribution fast simulation andmodeling (DFSM) of future smart distribution nework.In this paper, the modeling, simulation and analysis of smart distribution networkwith distributed generation are realized using OpenDSS. The impact of distributedgeneration with different capacity and location on distribution network key operationfeatures, such as voltage distribution and network loss, is mainly analysed. And theimpact of distributed generation on distribution network reconfiguration under normaloperation and fault condition is analysed in detail. Example analysis shows that, innormal operation, the integration of DG increases the number of distribution networkreconfiguration feasible solutions, reduces the total network loss of the optimalsolution, and feasible solution can emerge with the integration of DG when thenetwork in high load level. While in fault condition, feasible solution can emerge withthe integration of DG where there isn’t any feasible solution originally, the integrationof DG helps to ensure steady operation of network and continuous power supply ofvital load.