| Author: | Xu, Zibo |
| Title: | Probabilistic power flow considering renewable energies |
| Advisors: | Xu, Zhao (EEE) |
| Degree: | M.Sc. |
| Year: | 2024 |
| Department: | Department of Electrical and Electronic Engineering |
| Pages: | iv, 54 pages : color illustrations |
| Language: | English |
| Abstract: | As energy shortages and environmental pollution continue to escalate, the integration of large-scale renewable energy into the grid has emerged as a key direction in the development of power systems. However, while large-scale new energy generation brings us a lot of clean energy, it also brings more random factors, such as wind speed, solar radiation, climate, etc. Probabilistic power flow is an essential method for grid planning and operation state analysis, since Borkowska introduced the concept of stochastic trend in 1974, the solution methods are mainly divided into two types according to the principle: simulation method and analytical method. Simulation method according to the uncertainty of the probability model to produce a certain size of the sample, respectively, for each sample of the power flow calculation, and then statistically get the stochastic distribution law; while analytical method according to the uncertainty of the numerical characteristics of the approximation method to obtain the stochastic tidal solution of the approximate analytical expression. This paper primarily employs the Monte Carlo method to compute the probabilistic power flow. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 8489.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.46 MB | Adobe PDF | View/Open |
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