Current mutation and phase differential fault identification algorithm based on supply area sampling calibration method for active distribution network

More distributed energy resource (DER), regarded as clean energy source, become accessed into the distribution power system. However, it brings different influence on the judgement of protection act and fault location as before. This paper mainly focus on how to use these clean energy sources more effectively and to ensure safe operation of power system without the introducing of other facility. This paper proposes unified-sampling calibration method in which data of all the interconnected feeders in supply area is collected. Without changing the original network topology, the concept of “directed graph” is introduced to carry out of current direction calibration. With the results of such sampling calibration method, current mutation is to be the startup condition to locate the fault precisely. Through local communication in distributed FA and GPS time synchronization, current wave data is transferred between adjacent FA controllers. Fault identification algorithm based on current mutation and phase differential is proposed.