Abstract
A robust stability assessment approach is presented to efficiently estimate eigenvalues in microgrids in the presence of bounded uncertainties. Through this method, all possible locations of eigenvalues can be directly obtained, which makes repeatedly eigenvalue calculation unnecessary when dealing with uncertainties. More importantly, a quasi-diagonalization technique is established to reduce the conservativeness of the Geršgorin theory. Extensive tests show that the new method enables highly efficient analysis on impact levels of disturbances and offers a useful tool for droop coefficients design which facilitates microgrids stable operation. Besides, test results show that the Geršgorin theory based approach can be effectively combined with other methods to obtain more accurate solutions. These salient features make the new method a powerful tool for planning, operating, and designing future microgrids.
| Original language | English (US) |
|---|---|
| Title of host publication | 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 |
| Publisher | IEEE Computer Society |
| ISBN (Electronic) | 9781509041688 |
| DOIs | |
| State | Published - Nov 10 2016 |
| Event | 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Boston, United States Duration: Jul 17 2016 → Jul 21 2016 |
Publication series
| Name | IEEE Power and Energy Society General Meeting |
|---|---|
| Volume | 2016-November |
| ISSN (Print) | 1944-9925 |
| ISSN (Electronic) | 1944-9933 |
Other
| Other | 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 |
|---|---|
| Country/Territory | United States |
| City | Boston |
| Period | 7/17/16 → 7/21/16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Energy Engineering and Power Technology
- Nuclear Energy and Engineering
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
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