Impact of renewable generation on probabilistic dynamic security assessment of a power transmission system

ABSTRACT

Dynamic security assessment (DSA) is a vital part of power system planning and operation. Although various phenomena, such as line thermal loading, voltage stability, and frequency stability, are of interest in DSA, this paper particularly focuses on transient rotor angle stability of conventional synchronous generators in a transmission system. Integration of large wind and photovoltaic (PV) farms to the bulk power systems has brought various challenges to the conventional rotor angle transient stability of synchronous generators. It is, therefore, of immense importance to examine and comprehend the impact of various renewable generations and their penetration levels on the probabilistic transient stability. This paper uses time-domain simulation approach to analyse these impacts in terms of probability of system instability, based on the transient stability index (TSI). Various case studies are conducted on the IEEE 39-bus test system, considering the probabilistic nature of parameters (faulted line/bus, fault type, fault location, and fault duration). The results obtained indicate that hybrid renewable energy integration is the best choice for achieving the highest probabilistic dynamic security, considering (N-1) and (N-2) line and (N-1) bus faults.

KEYWORDS:

• Fault
• probabilistic dynamic security
• probabilistic transient stability
• renewable generation
• rotor angle
• synchronous generator

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Umair Shahzad

Umair Shahzad was born in Faisalabad, Pakistan. He received a B.Sc. Electrical Engineering degree from the University of Engineering and Technology, Lahore, Pakistan, and an M.Sc. Electrical Engineering degree from The University of Nottingham, England, in 2010 and 2012, respectively. He is currently working towards Ph.D. Electrical Engineering from The University of Nebraska-Lincoln, USA. His research interests include power system analysis, power system security assessment, power system stability, and probabilistic methods applied to power systems.