Abstract
Nowadays, there is a scarcity between the demand and supply of electrical energy, this is because of the instability of high voltage transmission and the reactive load used at consumer's side. This is one of the biggest issues so far in transmission lines. Researchers prefer the utilization of shunt reactors to reduce this instability issue. These conventional shunt reactors work like an ordinary electro-mechanical relay and therefore have sluggish switching response. This paper proposes the use of thyristors-based multi-Tap shunt reactors that are fully controlled using an intelligent Fuzzy based Proportional Integral Derivative (F-PID) control algorithm. This proposed strategy will initiate a voltage rise at receiver end to stabilize the system and reduces the settling time. The paper comprises of simulation results that are performed on MATLAB R2020a version and later validated with hardware design based on Arduino Mega controller.
| Original language | English |
|---|---|
| Title of host publication | ICPEA 2021 - 2021 IEEE International Conference in Power Engineering Application |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 6-11 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781728185460 |
| DOIs | |
| State | Published - 8 Mar 2021 |
| Externally published | Yes |
| Event | 2021 IEEE International Conference in Power Engineering Application, ICPEA 2021 - Virtual, Online, Malaysia Duration: 8 Mar 2021 → 9 Mar 2021 |
Publication series
| Name | ICPEA 2021 - 2021 IEEE International Conference in Power Engineering Application |
|---|
Conference
| Conference | 2021 IEEE International Conference in Power Engineering Application, ICPEA 2021 |
|---|---|
| Country/Territory | Malaysia |
| City | Virtual, Online |
| Period | 8/03/21 → 9/03/21 |
Bibliographical note
Publisher Copyright:© 2021 IEEE.
Keywords
- Fuzzy Logic Control
- High voltage (HV)
- Proportional Integral Derivative (PID)
- Shunt reactors
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Safety, Risk, Reliability and Quality
- Control and Optimization
- Artificial Intelligence
- Energy Engineering and Power Technology
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