Mostafa Eidiani - Khorasan Institute of Higher Education, Mashhad, Iran

The present research is a pioneering work in the studies of wind farms in Iran and an attempt to compute static ATC with a high penetration of wind farm. This research investigated Python's ability (in DIgSILENT) in a power system. It also investigated the effects of adding several wind farms to the Iranian grid through a static and dynamic analysis of static and dynamic constraints, transient stability and reliability. At the end of this research, a new method is presented entitled as the Quadratic Approximation of the path of the Minimum Distance Curve (QAMDC) via Python in DIgSILENT. This method can compute static ATC in a large wind farm. These analyses were tested on a segment of a real Iranian network called Khorasan with 2000 buses.

Available Transfer Capability (ATC), Voltage Stability (VS), Transient Stability (TS), Reliability, Wind Farm, Python, DIgSILENT