Please use this identifier to cite or link to this item:
https://etd.cput.ac.za/handle/20.500.11838/3255
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Raji, A.K., Dr | en_US |
dc.contributor.author | Gwabavu, Mandisi | en_US |
dc.date.accessioned | 2021-07-02T12:36:06Z | - |
dc.date.available | 2021-07-02T12:36:06Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | http://etd.cput.ac.za/handle/20.500.11838/3255 | - |
dc.description | Thesis (MEng (Electrical Engineering))--Cape Peninsula University of Technology, 2020 | en_US |
dc.description.abstract | The intermittent nature of wind power is a major challenge for wind as an energy source. Wind power generation is therefore difficult to plan, manage, sustain, and track during the year due to different weather conditions. The uncertainty of energy loads and power generation from wind energy sources heavily affects the system stability. The battery energy storage system (BESS) plays a fundamental role in controlling and improving the efficiency of renewable energy sources. Stochasticity of wind speed and reliability of the main system components are considered. This paper presents a dynamical control system based on model predictive control (MPC) in real time, to make full use of the flexibility and controllability of energy storage to mitigate problems of wind farm variability and intermittency. The control scheme first plans the expected output, then stochastic optimization is used to optimize grid integrated wind farm BESS output power, develop an optimal operation strategy for BESS, and prevent some unpredictable conditions that may have impacts on the stability of the system. The results show that the proposed method can reduce gridconnected wind power fluctuations, limit system faults, control command for the BESS in the dispatching period, and ensure system stability for grid connection.. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Cape Peninsula University of Technology | en_US |
dc.subject | Renewable energy sources | en_US |
dc.subject | Wind power | en_US |
dc.subject | Energy storage | en_US |
dc.subject | Smart power grids | en_US |
dc.subject | Storage batteries | en_US |
dc.title | Dynamic control of intergrated wind farm battery energy storage systems for grid connection | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Electrical, Electronic and Computer Engineering - Master's Degree |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Gwabavu_Mandisi_217197612.pdf | 2.97 MB | Adobe PDF | View/Open |
Page view(s)
100
checked on Feb 16, 2022
Download(s)
44
checked on Feb 16, 2022
Google ScholarTM
Check
Items in Digital Knowledge are protected by copyright, with all rights reserved, unless otherwise indicated.