Optimal Self-Healing Strategy for Microgrid Islanding Connected to Power System using Nonlinear Programming

With the emergence of network privatization, the use of the power system has imposed increasing tensions on the power system due to the pressures of network restructuring, which pursues new technical and economic goals in the use of the power system. When the power system is operating close to operating limits, poor connections, unexpected events, hidden faults in protection systems, human errors, and a host of other factors may cause system instability. In this research, a comprehensive microgrid self-healing strategy will be presented under different conditions in an offline system. The proposed strategy includes generation, distribution and network configuration. Regardless of what operations are performed. Before islanding, a microgrid can transit and operate in standalone mode using the proposed self-healing strategy. Islanding of power systems connected to microgrids, an extensive control method, is proposed as a comprehensive decision problem with many details and as an important part of corrective control strategies.

Keywords:

Self-healing strategy , optimization , microgrid islanding , reduction of active and reactive power losses , non-linear planning