Voltage Ripple Content Analysis-Based Passive Islanding Detection Technique for Distributed Generation Systems
Location
Room 2903
Session Format
Paper Presentation
Research Area Topic:
Engineering and Material Sciences - Electrical
Co-Presenters and Faculty Mentors or Advisors
Rami Haddad, Youakim Kalaani
Abstract
With the increased popularity of distributed generation (DG) in power systems, issues such as unintentional islanding should be efficiently resolved. Islanding condition occurs when part of the electrical power system is disconnected from the rest of the grid and is still energized by a DG unit. Conventional passive islanding detection approaches utilize the power system parameters such as the change of voltage magnitude, frequency deviation, and voltage phase displacement. The main challenge in these approaches is the dependency of these parameters on the islanding conditions which can render some of these approaches ineffective. This paper proposes a novel and a computationally inexpensive passive islanding detection technique for converter-based distributed generation systems. The proposed technique utilizes the converter-induced ripples in the instantaneous voltage amplitude at the point of common coupling to detect islanding. The proposed technique was modeled in a converter-based DG network with photo-voltaic arrays. The proposed technique model was tested using a wide range of islanding and non-islanding conditions and was able to accurately detect islanding under all DG loading conditions.
Keywords
Islanding, Anti-islanding, Passive technique, Distributed generation, Smart grid
Presentation Type and Release Option
Presentation (Open Access)
Start Date
4-24-2015 4:00 PM
End Date
4-24-2015 5:00 PM
Recommended Citation
Guha, Bikiran, "Voltage Ripple Content Analysis-Based Passive Islanding Detection Technique for Distributed Generation Systems" (2015). GS4 Georgia Southern Student Scholars Symposium. 158.
https://digitalcommons.georgiasouthern.edu/research_symposium/2015/2015/158
Voltage Ripple Content Analysis-Based Passive Islanding Detection Technique for Distributed Generation Systems
Room 2903
With the increased popularity of distributed generation (DG) in power systems, issues such as unintentional islanding should be efficiently resolved. Islanding condition occurs when part of the electrical power system is disconnected from the rest of the grid and is still energized by a DG unit. Conventional passive islanding detection approaches utilize the power system parameters such as the change of voltage magnitude, frequency deviation, and voltage phase displacement. The main challenge in these approaches is the dependency of these parameters on the islanding conditions which can render some of these approaches ineffective. This paper proposes a novel and a computationally inexpensive passive islanding detection technique for converter-based distributed generation systems. The proposed technique utilizes the converter-induced ripples in the instantaneous voltage amplitude at the point of common coupling to detect islanding. The proposed technique was modeled in a converter-based DG network with photo-voltaic arrays. The proposed technique model was tested using a wide range of islanding and non-islanding conditions and was able to accurately detect islanding under all DG loading conditions.
