Abstract
The presence of FACTS devices in the modern power systems nowadays is obvious for its important contributions, however, it is essential to get the optimal allocation for the installed FACTS devices in a given system to acquire the best outcomes regarding the required objective of such installations. In this paper, the optimal allocation of various FACTS devices is investigated using a number of optimization algorithms in standard IEEE 30 bus system, taking in consideration the penetration of wind generators into the system. The objective function of the optimization is reducing the generation cost and power losses as a multi-objective function. Several optimization algorithms are involved in this optimization process, including traditional and recent optimization algorithms. The outcomes of these optimization algorithms are compared, deducting the most efficient algorithm for optimal allocation of FACTS devices regarding the other optimization algorithms.
| Original language | English |
|---|---|
| Title of host publication | International Conference on Artificial Intelligence, Computer, Data Sciences, and Applications, ACDSA 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350394528 |
| DOIs | |
| State | Published - 2024 |
| Externally published | Yes |
| Event | 2024 International Conference on Artificial Intelligence, Computer, Data Sciences, and Applications, ACDSA 2024 - Victoria, Seychelles Duration: 1 Feb 2024 → 2 Feb 2024 |
Publication series
| Name | International Conference on Artificial Intelligence, Computer, Data Sciences, and Applications, ACDSA 2024 |
|---|
Conference
| Conference | 2024 International Conference on Artificial Intelligence, Computer, Data Sciences, and Applications, ACDSA 2024 |
|---|---|
| Country/Territory | Seychelles |
| City | Victoria |
| Period | 1/02/24 → 2/02/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Keywords
- FACTS
- Generation costs
- Optimization
- Power losses
ASJC Scopus subject areas
- Information Systems
- Software
- Information Systems and Management
- Health Informatics
- Artificial Intelligence
- Computer Science Applications
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