A Fast Voltage-Reliant and Cost-Effective DG Allocation in Distribution Systems With Variable Loads and Generation
The variability of load power due to voltage fluctuations in distribution networks can significantly impact system performance. Optimally allocating distributed generation (DG) can mitigate these effects by regulating bus voltage levels. However, previous studies addressing DG allocation with voltagedependent loads have relied on nonlinear formulations or oversimplified approximations, which either increase computational complexity or compromise solution accuracy. This paper presents a novel, computationally efficient, and costeffective DG allocation model that accurately captures the relationship between load components, consumer types, DG output, and voltage variations. The proposed framework leverages a mathematical formulation that maintains model linearity, enabling solutions through commercial linear solvers without extensive linearization or approximation errors. The model was validated using the IEEE 33-bus test system, demonstrating superior accuracy, economic efficiency, and significantly reduced computational time compared to conventional DG allocation methods. Key contributions include a voltage-reliant DG placement model that integrates load and generation dependency on voltage, an economically optimized allocation strategy, and a flexible approach applicable even in the absence of detailed load component data. The findings highlight the effectiveness of the proposed model in enhancing network efficiency and optimizing DG placement under realistic operational conditions.
Authors
- Augustine Awaafo (ORCID: https://orcid.org/0009-0009-1026-1144)
- Francisco Jurado (ORCID: https://orcid.org/0000-0001-8122-7415)
- Abdullah G. Alharbi (ORCID: https://orcid.org/0000-0002-1972-4741)
- Meisam Mahdavi (ORCID: https://orcid.org/0000-0002-0454-5484)
- Nahar Fehaid Alshammari (ORCID: https://orcid.org/0000-0002-7650-6978)
Institutions
- Princess Nourah bint Abdulrahman University (SA)
- Universidad de Jaén (ES)
- Jouf University (SA)
- University of Energy and Natural Resources (GH)
Publication Details
- Journal
- IEEE Transactions on Industry Applications
- Published
- 2025-05-20
- DOI
- https://doi.org/10.1109/tia.2025.3571884
- Citations
- 1
- Primary Topic
- Smart Grid Energy Management
- Type
- article
- Field-Weighted Citation Impact
- 0.73