Version 1
: Received: 19 September 2023 / Approved: 20 September 2023 / Online: 21 September 2023 (05:35:05 CEST)
How to cite:
Aman, M.A.; Ahmad, S.; Khan, J.; Soliman, N.F.; Munir, M.E. A Holistic Approach to Voltage Profile Improvement and Power Loss Mitigation through Distributed Generation Placement and Sizing. Preprints2023, 2023091423. https://doi.org/10.20944/preprints202309.1423.v1
Aman, M.A.; Ahmad, S.; Khan, J.; Soliman, N.F.; Munir, M.E. A Holistic Approach to Voltage Profile Improvement and Power Loss Mitigation through Distributed Generation Placement and Sizing. Preprints 2023, 2023091423. https://doi.org/10.20944/preprints202309.1423.v1
Aman, M.A.; Ahmad, S.; Khan, J.; Soliman, N.F.; Munir, M.E. A Holistic Approach to Voltage Profile Improvement and Power Loss Mitigation through Distributed Generation Placement and Sizing. Preprints2023, 2023091423. https://doi.org/10.20944/preprints202309.1423.v1
APA Style
Aman, M.A., Ahmad, S., Khan, J., Soliman, N.F., & Munir, M.E. (2023). A Holistic Approach to Voltage Profile Improvement and Power Loss Mitigation through Distributed Generation Placement and Sizing. Preprints. https://doi.org/10.20944/preprints202309.1423.v1
Chicago/Turabian Style
Aman, M.A., Naglaa F. Soliman and Mehr E Munir. 2023 "A Holistic Approach to Voltage Profile Improvement and Power Loss Mitigation through Distributed Generation Placement and Sizing" Preprints. https://doi.org/10.20944/preprints202309.1423.v1
Abstract
One of the rapidly developing research areas in the power system is the integration of distributed generation (DG) with the distribution system. The size and location of DG sources had a considerable impact on power system networks. Artificial intelligence (AI) techniques can be used to address multidimensional problems relating to DG size and location in distribution systems. Heuristic optimization offers a reliable and effective method for solving complicated real-world problems. This work focuses on a hybrid approach that combines the two heuristic optimization methods i.e., Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) for the optimal siting and sizing of DG in distribution systems. This hybrid approach combines ideas from GA and PSO and generates individuals in a new generation using both PSO mechanisms and the procedures found in GA. An extensive performance analysis of the IEEE 14 busbar standard test system is conducted to demonstrate the viability of the suggested methodologies. In the designated locations, DG is placed, and the outcomes have been verified. The results indicated that the right placement of DG injection enhances the voltage profile and lowers the distributed system’s power losses. These techniques offer unique methods for determining the location of the DG unit, demonstrating the potential of such a computational techniques to reduce computing time and complexity while simultaneously reducing human errors associated with hit-and-trail methods.
Keywords
hybrid heuristic approach; distributed generation; renewable energy systems; voltage profile; power losses; simulation; modeling
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
