Optimal Allocation of PV-STATCOM Devices in Distribution Systems for Energy Losses Minimization and Voltage Profile Improvement via Hunter-Prey-Based Algorithm Article Swipe
Abdullah M. Shaheen
,
Ragab A. El‐Sehiemy
,
Ahmed R. Ginidi
,
Abdallah M. Elsayed
,
Saad F. Al‐Gahtani
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/en16062790
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/en16062790
Incorporating photovoltaic (PV) inverters in power distribution systems via static synchronous compensators (PV-STATCOM) during the nighttime has lately been described as a solution to improve network performance. Hunter prey optimization (HPO) is introduced in this study for efficient PV-STATCOM device allocation in distribution systems. HPO generates numerous scenarios for how animals could act when hunting, some of which have been expanded into stochastic optimization. The PV-STATCOM device allocation issue in distribution networks is structured to simultaneously minimize the electrical energy losses and improve the voltage profile while accounting for variable 24 h loadings. The impacts of varying the number of installed PV-STATCOM devices are investigated in distribution systems. It is tested on two IEEE 33-node and 69-node distribution networks. The effectiveness of the proposed HPO is demonstrated in comparison to the differential evolution (DE) algorithm, particle swarm optimization (PSO), artificial rabbits algorithm (ARA), and golden search optimizer (GSO). The simulation results demonstrate the efficiency of the proposed HPO in adequately allocating the PV-STATCOM devices in distribution systems. For the IEEE 33-node distribution network, the energy losses are considerably decreased by 57.77%, and the voltages variance sum is significantly reduced by 42.84%. The energy losses in the IEEE 69-node distribution network decreased by 57.89%, while voltage variations are reduced by 44.69%. Additionally, the suggested HPO is highly consistent than the DE, PSO, ARA, and GSO. Furthermore, throughout the day, the voltage profile at all distribution nodes surpasses the minimum requirement of 95%.
Related Topics
Concepts
Particle swarm optimization
Photovoltaic system
Voltage
Node (physics)
Differential evolution
Mathematical optimization
Power (physics)
Minification
Energy (signal processing)
Control theory (sociology)
Engineering
Electronic engineering
Computer science
Mathematics
Electrical engineering
Statistics
Control (management)
Artificial intelligence
Structural engineering
Quantum mechanics
Physics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/en16062790
- https://www.mdpi.com/1996-1073/16/6/2790/pdf?version=1679039130
- OA Status
- gold
- Cited By
- 39
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4327736933
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4327736933Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/en16062790Digital Object Identifier
- Title
-
Optimal Allocation of PV-STATCOM Devices in Distribution Systems for Energy Losses Minimization and Voltage Profile Improvement via Hunter-Prey-Based AlgorithmWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-03-17Full publication date if available
- Authors
-
Abdullah M. Shaheen, Ragab A. El‐Sehiemy, Ahmed R. Ginidi, Abdallah M. Elsayed, Saad F. Al‐GahtaniList of authors in order
- Landing page
-
https://doi.org/10.3390/en16062790Publisher landing page
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-
https://www.mdpi.com/1996-1073/16/6/2790/pdf?version=1679039130Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.mdpi.com/1996-1073/16/6/2790/pdf?version=1679039130Direct OA link when available
- Concepts
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Particle swarm optimization, Photovoltaic system, Voltage, Node (physics), Differential evolution, Mathematical optimization, Power (physics), Minification, Energy (signal processing), Control theory (sociology), Engineering, Electronic engineering, Computer science, Mathematics, Electrical engineering, Statistics, Control (management), Artificial intelligence, Structural engineering, Quantum mechanics, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
39Total citation count in OpenAlex
- Citations by year (recent)
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2025: 7, 2024: 19, 2023: 13Per-year citation counts (last 5 years)
- References (count)
-
35Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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