Distributed Generators (DGs) play a significant role in improving the performance and reliability of modern distribution systems and emerging microgrid environments by supplying power closer to load centers. Proper planning of DG placement becomes essential to reduce system losses, enhance voltage profiles, and improve economic benefits. This work presents a consumer-oriented DG allocation strategy applied to standard IEEE 33-bus and IEEE 69-bus distribution systems. The proposed approach considers different consumer categories such as residential, commercial, and industrial loads, and allocates DGs based on consumer load grouping. This framework is also relevant for microgrid planning, where localized generation and load-based allocation strategies enable flexible and resilient operation. In this method, one DG is allocated to each consumer category within the system. The optimal DG locations are identified using the Voltage Stability Index (VSI). Comparative analysis demonstrates a significant reduction in real power losses, improved voltage profiles, and enhanced economic performance, while supporting resilient and sustainable energy management across all test systems and multiple loading conditions. In 33 bus system, Economically, Scenario 1 provides a maximum gain of 10.63% with the PV & WIND hybrid configuration, while Scenario 2 achieves a substantially higher gain of 36.21% with WIND based DG configuration, highlighting its superior economic viability. In 69 bus system, Economically, Scenario 1 provides a maximum gain of 9.94% with the hybrid PV and WIND configuration, while Scenario 2 achieves a substantially higher gain of 38.30% with WIND-based DG, highlighting its superior economic viability.
In recent years, the integration of Distributed Generation (DG) units into distribution systems has emerged as an effective approach for reducing active power losses and improving overall network performance. To achieve maximum loss reduction, the optimal sizing and placement of DG units, particularly solar photovoltai...
S. Nawaz, V. Sangtani· Journal of Dynamics and Cont...· 0 citations
The increasing complexity of modern power distribution systems, through rising demand, integration of distributed generation, and the scaling of electric vehicles, requires improved demand-side management strategies for effective and reliable operation. This study presents a DSM framework that integrates EV load coordi...
The growing adoption of distributed generation (DG) has made it important to improve the performance of distribution networks. While numerous studies have focused on optimal DG siting and sizing for loss minimization, most approaches rely on peak load or static demand assumptions, overlooking the temporal variability o...
Meisam Mahdavi, S. Muyeen, Abdullah G. Alharbi et al.· IEEE Canadian Journal of Ele...· 0 citations
The modern power distribution systems face many challenges due to the increasing electricity demand, urbanization, industrial growth and the incorporating renewable energy sources like wind and solar power. The traditional radial distribution systems suffer from problems like high power losses, poor voltage profile, fe...
S. Reddy, M. Natarajan, M. Saiveerraju· International journal of com...· 0 citations
This paper proposes a method to solve the optimal placement problem of DGs in distribution networks by using PSO algorithm. The formulation of bi-objective problem has been done for getting maximum benefit for DGs and distribution systems. The objective function takes into account DG owners' revenues from selling elect...
Mehrdad Ahmadi Kamarposhti, P. Nouri, M. Jalilirad· Artificial Intelligence Rese...· 0 citations
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