What question did this study set out to answer?

The aim is to optimize the allocation and sizing of distributed generation (DG) units to reduce active power loss and improve voltage stability.

June 4, 2026Open Access

Optimal DG allocation using the Dingo Optimization Algorithm: robust power loss reduction with concomitant voltage stability improvement in distribution and transmission networks

Key Points

The aim is to optimize the allocation and sizing of distributed generation (DG) units to reduce active power loss and improve voltage stability.
Used Dingo Optimization Algorithm to allocate DG units in distribution and transmission networks.
Tested configurations with photovoltaics (PV) and hybrids of PV and wind technologies under varying load conditions.
Evaluated performance on IEEE 33-node and IEEE 118-node networks.
Active power losses reduced by 81.63%, 48.37%, and 79.45% during normal, light, and heavy loadings in the 33-bus network.
Voltage Stability Index increased from 0.695 to 0.898; Voltage Deviation Index fell from 0.087 to 0.027.
In the 118-bus network, active power losses decreased by 18.07% and 23.98% with hybrid systems under specific loading conditions.

Abstract

Abstract The paper develops a comprehensive model for optimal allocation and sizing of DG units using the Dingo Optimization Algorithm (DOA) targeting active power loss reduction with a concomitant improvement in voltage stability across both distribution (DN) and transmission networks (TN). The novel methodology evaluates the effectiveness of operation of renewable DG units under two different network structures. In the IEEE 33-node DN, DG units comprising PV are optimally placed, with consideration for a constant amount of reactive compensation, considering the practical limitations of the used inverters. In the IEEE 118-node TN, which is a more complicated, meshed grid, PV alone, as well as hybrid configurations combining both PV and Wind technologies, operating at an optimal power factor of 0.95 are considered. In addition, a dispatch factor of 0.3 is applied for hybrid systems under light load to mitigate the high penetration of the renewable energy DG units. Results from the evaluation of IEEE 33-bus network indicate the effectiveness of DOA in securing substantial reductions in active power losses at percentages of 81.63%, 48.37%, and 79.45% in cases of normal, light, and heavy loadings, respectively, coupled with marked improvement in the voltage stability level of the power grid. For instance, during regular operations, the lowest Voltage Stability Index (VSI) rose from a critical point of 0.695 to a safe point of 0.898, whereas the highest Voltage Deviation Index (VDI) fell from 0.087 to 0.027. Application of the algorithm to the 118-bus TN indicates that placing three PV DG units optimally results in reductions in active power losses by 16.98%, 8.39%, and 16.24% in normal, light, and heavy loadings, respectively. Incorporating a hybrid system involving three PV units and three wind power DG units reduces the active power losses to 18.07% in the case of normal loading and 23.98% for heavy loading. Finally, deployment of the dispatch factor achieves a positive reduction in power losses of 12.61% in the light load scenario. Additionally, network stability improved in the hybrid topology when the network was under high traffic loads, leading to the minimum Voltage Deviation Index (VDI) being reduced from 0.1015 to 0.0863, while the maximum Fast Voltage Stability Index (FVSI) was 0.2817.

Bookmark

View Full Paper

Cite This Study

Kotb et al. (Wed,) studied this question.

synapsesocial.com/papers/6a2116acd499ed480b16f9ee https://doi.org/https://doi.org/10.1038/s41598-026-54963-6

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

Bookmark

View Full Paper