Probabilistic steady-state analysis of power systems
This project proposes a probabilistic load flow approach based on Gaussian process regression. The objective is to evaluate the power flow solutions in the presence of wind farms with uncertain wind energy outputs. The technique rely on input information such as prior and point values to compute pos...
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/136927 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | This project proposes a probabilistic load flow approach based on Gaussian process regression. The objective is to evaluate the power flow solutions in the presence of wind farms with uncertain wind energy outputs. The technique rely on input information such as prior and point values to compute posterior predictive distribution. The results are compared with that of Monte-Carlo simulation in terms of the accuracy and the computational time. Numerical simulations with IEEE 30-bus system demonstrate the feasibility of the proposed method. |
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