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A Novel Modeling for Assessing Frequency Behavior During a Hydro-to-Thermal Plant Black Start Restoration Test
- Source :
- IEEE Access, Vol 7, Pp 47317-47328 (2019)
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2019.
-
Abstract
- Northern electric grid of Italy was involved in a black start mock drill. This test took place on November 2016 in order to check the coordination and efficiency of all the operational staffs and the automatic regulators involved in the case of a real blackout scenario. This paper presents the results of a research carried out in collaboration with Terna Rete Italia (the Italian Transmission System Operator), in order to find strengths and weaknesses and eventually to upgrade the existing restoration plan. Starting from the measures coming from generating plants and substations bars, the model of frequency regulation system for both the participating hydro and thermal power plants is developed. This work gives the system operator an essential tool to understand many complex dynamics and phenomena occurred during the test. At the same time, a robust model simulating the system behavior with different grid configurations is presented: it gives the opportunity to enhance both the classical power system control theory and the black start practices.
- Subjects :
- General Computer Science
Computer science
020209 energy
020208 electrical & electronic engineering
Blackout
General Engineering
Thermal power station
02 engineering and technology
Blackout, black start, grid restoration, frequency regulation
Industrial engineering
Electric power system
Upgrade
Work (electrical)
Control theory
frequency regulation
0202 electrical engineering, electronic engineering, information engineering
medicine
black start
General Materials Science
grid restoration
lcsh:Electrical engineering. Electronics. Nuclear engineering
medicine.symptom
lcsh:TK1-9971
Subjects
Details
- ISSN :
- 21693536
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....fc26cbbb3baaf0e63d695dc7229a8d7a
- Full Text :
- https://doi.org/10.1109/access.2019.2909321