Difference between revisions of "Projects:2019s1-182 Power System Inertia Modelling in a Renewable Energy and Battery Storage Based Microgrid"
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Case 2: South Australia September 2016 | Case 2: South Australia September 2016 | ||
In 2016, South Australia was hit with a strong storm that caused serious damage to the electricity transmission infrastructure leaving 1.7 million people without power. The key reason of the huge blackout is that there was significantly lower inertia in SA in the most recent event, due to a lower number of on-line synchronous generators. This resulted in a substantially faster Rate of the change of frequency (RoCoF) compared to the other events, exceeding the ability of the under-frequency load shedding schemes (UFLS) to arrest the frequency fall before it dropped below 47 Hz. | In 2016, South Australia was hit with a strong storm that caused serious damage to the electricity transmission infrastructure leaving 1.7 million people without power. The key reason of the huge blackout is that there was significantly lower inertia in SA in the most recent event, due to a lower number of on-line synchronous generators. This resulted in a substantially faster Rate of the change of frequency (RoCoF) compared to the other events, exceeding the ability of the under-frequency load shedding schemes (UFLS) to arrest the frequency fall before it dropped below 47 Hz. | ||
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| + | == Power system inertia in SA Grid == | ||
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| + | == SA Grid Model == | ||
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== Selected References == | == Selected References == | ||
Revision as of 21:13, 28 October 2019
Contents
Abstract
This thesis talks about the power system inertia based on the SA Grid. We analyse the current status of the problem of SA power system, and learn from other countries project. By comparing with each other, we choose battery storage system to be the solutions of South Australia. In this thesis, we build a basic model of the grid, and analyse the change of conventional generators and renewable energy source, the different reaction of the voltage and current waveform, and the RoCoF of the system. After that, we model the real SA power grid. Finally, we can jump to the conclusion: battery storage system does improve the power system inertia.
Introduction
Case 1: Brazil and Paraguay November 2009 When the Itapiu hydroelectric dam on the Paraguay-Brazil border suddenly stopped producing 17,000 megawatts of power, outages quickly spread through both countries. The key reason of the blackout is that the disturbance was triggered by the automatic disconnection of 765 kV transmission line whose inertia is less. Case 2: South Australia September 2016 In 2016, South Australia was hit with a strong storm that caused serious damage to the electricity transmission infrastructure leaving 1.7 million people without power. The key reason of the huge blackout is that there was significantly lower inertia in SA in the most recent event, due to a lower number of on-line synchronous generators. This resulted in a substantially faster Rate of the change of frequency (RoCoF) compared to the other events, exceeding the ability of the under-frequency load shedding schemes (UFLS) to arrest the frequency fall before it dropped below 47 Hz.
Power system inertia in SA Grid
SA Grid Model
Selected References
[1] South Australian Electricity Report, November 2018 AEMO [2] South Australian Renewable Energy Report 2017 [3] A low carbon investment plan for South Australia. Planning report. Government of South Australia (2015, December). [4] Application of Energy Storage in High Penetration Renewable Energy System [5] Battery Storage Technologies, Applications and Trend in Renewable Energy
Members
Qinghua Li Da Di
Supervisors
Nesimi Ertugrul
