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Techno-Economic Enhancement of Distribution Network by Optimal DG Allocation Along with Network Reconfiguration Considering Different Load Models and Levels

Author

Listed:
  • Chintan D. Patel

    (Department of Electrical Engineering, Nirma University, Ahmedabad 382481, Gujarat, India)

  • Tarun Kumar Tailor

    (Department of Electrical Engineering, Nirma University, Ahmedabad 382481, Gujarat, India)

  • Samyak S. Shah

    (Department of Electrical Engineering, Nirma University, Ahmedabad 382481, Gujarat, India)

  • Gulshan Sharma

    (Department of Electrical & Electronics Engineering Technology, University of Johannesburg, Johannesburg 2006, South Africa)

  • Pitshou N. Bokoro

    (Department of Electrical & Electronics Engineering Technology, University of Johannesburg, Johannesburg 2006, South Africa)

Abstract

Distributed generation (DG) within the electrical distribution network (DN) has witnessed significant expansion globally, attributed to both technological advancements and environmental benefits. However, uncoordinated integration of DG in suboptimal locations can negatively influence the operational efficacy through issues such as increased power losses, voltage fluctuations, and protection coordination issues of the DN. Consequently, the optimal allocation of DG represents a critical element of consideration. Furthermore, the integration of network reconfiguration (NR) alongside DG units has the potential to significantly enhance system performance with only the existing infrastructure. Therefore, this work focuses on improving DN performance with optimal DG integration along with NR. The considered objectives are minimization of active power loss (APL) and cost of annual energy loss (CAEL). CAEL minimization by DG allocation and NR under multiple load models is addressed for the first time in this study. The efficacy of the employed hiking optimization algorithm (HOA) is illustrated through its application to the IEEE 33-Bus DN under various scenarios of DG operational power factors (PFs). A comparative analysis between the HOA and other reported methodologies is presented. Additionally, the results obtained for CAEL in case 6 (DG allocation with NR) are approximately 22.3% better that the best reported results of CAEL without NR, thereby affirming the usefulness of integrating the NR during DG allocation.

Suggested Citation

  • Chintan D. Patel & Tarun Kumar Tailor & Samyak S. Shah & Gulshan Sharma & Pitshou N. Bokoro, 2025. "Techno-Economic Enhancement of Distribution Network by Optimal DG Allocation Along with Network Reconfiguration Considering Different Load Models and Levels," Energies, MDPI, vol. 18(12), pages 1-16, June.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:12:p:3005-:d:1673124
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    References listed on IDEAS

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    1. Xiangming Wu & Chenguang Yang & Guang Han & Zisong Ye & Yinlong Hu, 2022. "Energy Loss Reduction for Distribution Networks with Energy Storage Systems via Loss Sensitive Factor Method," Energies, MDPI, vol. 15(15), pages 1-15, July.
    2. Prem Prakash & Duli Chand Meena & Hasmat Malik & Majed A. Alotaibi & Irfan Ahmad Khan, 2022. "A Novel Analytical Approach for Optimal Integration of Renewable Energy Sources in Distribution Systems," Energies, MDPI, vol. 15(4), pages 1-23, February.
    3. Subrat Kumar Dash & Sivkumar Mishra & Almoataz Youssef Abdelaziz & Junhee Hong & Zong Woo Geem, 2022. "Optimal Planning of Multitype DGs and D-STATCOMs in Power Distribution Network Using an Efficient Parameter Free Metaheuristic Algorithm," Energies, MDPI, vol. 15(9), pages 1-35, May.
    4. Abinands Ramshanker & Jacob Raglend Isaac & Belwin Edward Jeyeraj & Jose Swaminathan & Ravi Kuppan, 2022. "Optimal DG Placement in Power Systems Using a Modified Flower Pollination Algorithm," Energies, MDPI, vol. 15(22), pages 1-17, November.
    5. Elham Mahdavi & Seifollah Asadpour & Leonardo H. Macedo & Rubén Romero, 2023. "Reconfiguration of Distribution Networks with Simultaneous Allocation of Distributed Generation Using the Whale Optimization Algorithm," Energies, MDPI, vol. 16(12), pages 1-19, June.
    6. Sasan Azad & Mohammad Mehdi Amiri & Morteza Nazari Heris & Ali Mosallanejad & Mohammad Taghi Ameli, 2021. "A Novel Analytical Approach for Optimal Placement and Sizing of Distributed Generations in Radial Electrical Energy Distribution Systems," Sustainability, MDPI, vol. 13(18), pages 1-17, September.
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