Optimal Distributed Generation Mix to Enhance Distribution Network Performance: A Deterministic Approach
Distribution systems’ vulnerability to power losses remains high, among other parts of the power system, due to the high currents and lower voltage ratio. Connecting distributed generation (DG) units can reduce power loss and improve the overall performance of the distribution networks if sized and located correctly. However, existing studies have usually assumed that DGs operate only at the unity power factor (i.e., type-I DGs) and ignored their dynamic capability to control reactive power, which is unrealistic when optimizing DG allocation in power distribution networks. In contrast, optimizing the allocation of DG units injecting reactive power (type-II), injecting both active and reactive powers (type-III), and injecting active power and dynamically adjusting (absorbing or injecting) reactive power (type-IV) is a more likely approach, which remains unexplored in the current literature. Additionally, various metaheuristic optimization techniques are employed in the literature to optimally allocate DGs in distribution networks. However, the no-free-lunch theorem emphasizes employing novel optimization approaches, as no method is best for all optimization problems. This study demonstrates the potential of optimally allocating different DG types simultaneously to improve power distribution network performance using a parameter-free Jaya optimization technique. The primary objective of optimally allocating DG units is minimizing the distribution network’s power losses. The simulation validation of this study is conducted using the IEEE 33-bus test system. The results revealed that optimally allocating a multiunit DG mix instead of a single DG type significantly reduces power losses. The highest reduction of 96.14% in active power loss was obtained by placing three type-II, two type-III, and three type-IV units simultaneously. In contrast, the minimum loss reduction of 87.26% was observed by jointly allocating one unit of the aforementioned three DG types.
Authors
- Zohaib Hussain Leghari (ORCID: https://orcid.org/0000-0002-7053-4599)
- Muhammad I. Bhatti (ORCID: https://orcid.org/0000-0002-0162-2624)
- Touqeer Ahmed Jumani (ORCID: https://orcid.org/0000-0002-5201-5111)
- Matthias Kühnbach (ORCID: https://orcid.org/0000-0001-8392-8629)
- Muhammad I. Masud (ORCID: https://orcid.org/0000-0001-6538-2984)
- Frank Fischer (ORCID: https://orcid.org/0000-0002-5154-6594)
- Zeeshan Anjum Memon
Institutions
- Mehran University of Engineering and Technology (PK)
- Kempten University of Applied Sciences (DE)
- College of Applied Sciences, Nizwa (OM)
- University of Business and Technology (SA)
- A'Sharqiyah University
Publication Details
- Journal
- Sustainability
- Published
- 2025-06-29
- DOI
- https://doi.org/10.3390/su17135978
- Primary Topic
- Optimal Power Flow Distribution
- Type
- article
- Field-Weighted Citation Impact
- 0.00