Abstract
This paper presents a method for localizing oscillation sources based on data fusion Dempster–Shafer (D-S) evidence theory. This study is based on data of each bus from the system collected by phasor measurement units (PMUs). Then the D-S evidence theory algorithm is employed to establish the mass function and the trust degree of each bus. Three traditional methods are used to locate the oscillation source and to provide the calculation results for structuring the mass function of the algorithm. Finally, the decision of oscillation sources localization is made according to synthesis decision value. The higher the synthesis decision value, the higher the possibility is of an oscillation source. The WECC179 bus power system is applied for verification, and the D-S evidence theory method is compared with the above traditional three methods. It is proved that the algorithm can significantly improve the accuracy of locating sources of negatively damped oscillations and forced power oscillations, effectively reduce misjudgment. Meanwhile, this algorithm is also effective for the positioning complex dual oscillation sources.
Original language | English |
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Article number | 106444 |
Journal | International Journal of Electrical Power and Energy Systems |
Volume | 125 |
Early online date | 21 Aug 2020 |
DOIs | |
Publication status | Published - 28 Feb 2021 |
Funding
This work was supported in part by National Natural Science Foundation of China (51677114) and State Grid Project: Study on the Mechanism and Suppression Measures of Complex Oscillation in Multi-source Scenery of Wind Power, Photovoltaic and Thermal Power (SGTYHT / 16-JS-198). We greatly appreciate the reviewers’ suggestions and the editor’s encouragement. This research was supported by National Natural Science Foundation of China ( 51677114 ) and Science and Technology Project of State Grid ( SGTYHT / 16-JS-198 ).
Keywords
- Evidence theory
- Low-frequency oscillation
- Mass function
- Oscillation source location
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering