A Mixed-Integer Quadratically Constrained Programming Model for Hybrid DG and Capacitor Placement in Terms of Load Components and Consumption Types

The integration of simultaneous distributed generation (DG) and capacitor allocation strategies has shown considerable promise in reducing power losses, mitigating voltage deviations, and lowering operational expenses within power systems. Achieving these benefits hinges on the optimal placement of...

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Veröffentlicht in:IEEE transactions on industrial informatics Jg. 21; H. 9; S. 7357 - 7367
Hauptverfasser: Alshammari, Nahar Fehaid, Mahdavi, Meisam, Jurado, Francisco
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.09.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Accuracy
Adaptation models
Capacitor placement
Capacitors
Computational modeling
consumption type
DG allocation
Distributed generation
Electric potential
Electric power demand
Electric power systems
Electrical loads
load components
Load modeling
Mathematical models
Mixed integer
Modelling
Optimization
Placement
power distribution system
Reactive power
Resource management
Shunt capacitors
Voltage
ISSN:1551-3203, 1941-0050
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Zusammenfassung:The integration of simultaneous distributed generation (DG) and capacitor allocation strategies has shown considerable promise in reducing power losses, mitigating voltage deviations, and lowering operational expenses within power systems. Achieving these benefits hinges on the optimal placement of DG units and shunt capacitors, which in turn depends on accurate modeling of electricity demand. However, such modeling is inherently challenging due to the variable nature of electrical loads, which fluctuate with voltage levels and are influenced by consumer types. Electrical loads are typically represented by a combination of constant-power, constant-current, and constant-impedance components. Establishing a clear relationship between these components and consumer categories is essential for precise load modeling. Despite its critical role, this aspect has been largely overlooked in existing studies on DG and capacitor placement. This article presents a novel mathematical framework that links load components to consumer types, thereby enhancing the flexibility and effectiveness of DG and capacitor placement strategies. The proposed formulations aim to improve system performance and economic efficiency, offering a significant advancement in the optimization of power systems.
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ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2025.3575138