Power system operation enhancement using a new hybrid methodology for optimal allocation of FACTS devices Article Swipe
Ahmed A. Shehata
,
Mohamed A. Tolba
,
Ali M. El‐Rifaie
,
Nikolay Korovkin
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1016/j.egyr.2021.11.241
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1016/j.egyr.2021.11.241
The proposed research article introduces a new hybrid heuristic algorithm based on Autonomous Groups Particle Swarm and Grey Wolf optimizers (AGPSO-GWO) via multi-objective function for the allocation of the Flexible Alternating Current Transmission Systems (FACTS) controllers in power grids to minimize the active power system losses, voltage deviation, and the system operational costs. In this research work, the Static Var Compensator (SVC), Thyristor-Controlled Series Compensator (TCSC), and Unified power flow controller (UPFC) are used as FACTS controllers. A comparative analysis is conducted with other proposed heuristic optimization algorithms such as Particle Swarm Optimization (PSO), Autonomous Group Particle Swarm Optimization (AGPSO) Grey Wolf optimizer (GWO), and improved grey wolf optimization (IGWO) algorithms to confirm and validate the superiority of the proposed technique. Moreover, the proposed AGPSO-GWO has been compared with the previous existing Simulated Annealing (SA) in the literature to prove its superiority and ensure its validity. The proposed scheme has been validated and applied on 30-bus and 118-bus IEEE electric power systems. The numerical results had been carried out using MATLAB and MATPOWER packages. The simulation results show that the proposed algorithm offers the best performance among all algorithms to achieve the optimum global minimum solutions with the highest convergence rate.
Related Topics
Concepts
Particle swarm optimization
Unified power flow controller
Simulated annealing
Mathematical optimization
Computer science
Electric power system
MATLAB
Static VAR compensator
Heuristic
Thyristor
Control theory (sociology)
Convergence (economics)
AC power
Voltage
Power (physics)
Algorithm
Engineering
Power flow
Mathematics
Control (management)
Physics
Quantum mechanics
Economics
Operating system
Artificial intelligence
Economic growth
Electrical engineering
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.egyr.2021.11.241
- OA Status
- gold
- Cited By
- 61
- References
- 51
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4200296473
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4200296473Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.egyr.2021.11.241Digital Object Identifier
- Title
-
Power system operation enhancement using a new hybrid methodology for optimal allocation of FACTS devicesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-12-15Full publication date if available
- Authors
-
Ahmed A. Shehata, Mohamed A. Tolba, Ali M. El‐Rifaie, Nikolay KorovkinList of authors in order
- Landing page
-
https://doi.org/10.1016/j.egyr.2021.11.241Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.egyr.2021.11.241Direct OA link when available
- Concepts
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Particle swarm optimization, Unified power flow controller, Simulated annealing, Mathematical optimization, Computer science, Electric power system, MATLAB, Static VAR compensator, Heuristic, Thyristor, Control theory (sociology), Convergence (economics), AC power, Voltage, Power (physics), Algorithm, Engineering, Power flow, Mathematics, Control (management), Physics, Quantum mechanics, Economics, Operating system, Artificial intelligence, Economic growth, Electrical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
61Total citation count in OpenAlex
- Citations by year (recent)
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2025: 9, 2024: 20, 2023: 20, 2022: 12Per-year citation counts (last 5 years)
- References (count)
-
51Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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