Abstract
In this paper, an early attempt is made to design the optimal control technique based on discrete law for load frequency control (LFC) of an interconnected power delivery system having the electric power generation via hydro turbines in interconnected areas. In addition to above the effect of diverse sampling time on optimal LFC in discrete mode is also investigated. The performance evaluation of design LFC is carried out for standard load disturbance in one of the control area and the comparative analysis of diverse sampling time are shown via LFC responses, eigen values and closed loop feedback gains. At last, the unified power flow controller (UPFC) is added in series with the tie-line as well as the redox flow battery is integrated in area-2 of the interconnected system and the application results are assessed in order to show the merits of these devices in the enhancement of LFC performance.
| Original language | English |
|---|---|
| Title of host publication | 2020 International SAUPEC/RobMech/PRASA Conference, SAUPEC/RobMech/PRASA 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728141626 |
| DOIs | |
| Publication status | Published - Jan 2020 |
| Externally published | Yes |
| Event | 2020 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2020 - Cape Town, South Africa Duration: 29 Jan 2020 → 31 Jan 2020 |
Publication series
| Name | 2020 International SAUPEC/RobMech/PRASA Conference, SAUPEC/RobMech/PRASA 2020 |
|---|
Conference
| Conference | 2020 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2020 |
|---|---|
| Country/Territory | South Africa |
| City | Cape Town |
| Period | 29/01/20 → 31/01/20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Discrete LQR
- Hydro power
- Load frequency control
- RFB
- UPFC
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Energy Engineering and Power Technology
- Mechanical Engineering
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